Graph-Native Computational Engineering EDA

Research · Advanced R&D · Engineering Automation

2026 R1 First-Mover Perpetual License

USD $9,950 / seat — one-time

Current Download: macOS Intel x86_64 .dmg

License: Perpetual software-use license for the licensed EDFS Research 2026 R1 seat

Included: 12 months of EDFS Research 2026 R1 maintenance updates

Engineering Intelligence for Connected Design Flows

EDFS Research 2026 R1 is the advanced computational engineering and research edition of EDFS — Electronics Design Flow Studio.

It brings programmable engineering, numerical execution, RF and microwave methods, solver evidence, reduced-model workflows, circuit simulation, computational intelligence, provenance, project history, and technical reporting into one persistent graph-native engineering environment.

EDFS Research is designed for engineering programs in which the real design process extends across multiple models, scripts, numerical engines, measurements, solver outputs, reduced representations, and technical decisions.

The platform provides the computational structure that keeps those elements connected.

EDFS Core + DFS-RF / RF Advanced + DFS-Editor + CRE-RF + governed GNU Octave execution + ngspice workflows + protected XiRA integration + typed engineering datasets + solver evidence + project history + Report Model v2

operate within a common EDFS project architecture.

The result is a programmable EDA environment built around the design flow itself.

From Solvers to Evidence

Modern engineering programs rarely remain inside one software environment.

A research or product-development workflow may move through electromagnetic simulation, network analysis, circuit simulation, numerical algorithms, measurements, equivalent models, optimization, parameter studies, technical plots, reports, and design revisions.

EDFS Research provides a persistent engineering layer across that process.

A project can retain:

• project and graph identity

• design revision

• numerical authority

• source-code identity

• SHA-256 hashes

• input datasets

• solver outputs

• generated artifacts

• plots

• runtime information

• evidence

• qualification state

• technical reports

• historical project relationships

This creates a computational record in which engineering results remain connected to the processes that produced them.

EDFS Core — The Research Backbone

EDFS Core provides the shared architecture beneath the Research edition.

It coordinates:

• project identity and revisions

• Graph Schema v2

• typed engineering objects

• dataset registry

• job and execution state

• artifact registry

• SHA-256 identity

• evidence storage

• project history

• Report Model v2

• report indexing

• specialist DFS workspaces

• inter-workspace communication

Specialized environments communicate through typed jobs, datasets, and artifacts.

Representative artifact classes include:

XIRA_RESULT_BUNDLE

USER_OCTAVE_RESULT

CIRCUIT_SIM_RESULT

EM_DATASET

REPORT_MODEL_V2

This architecture allows numerical methods and specialist engineering environments to evolve while preserving a common EDFS project record.

DFS-Editor — A Programmable Engineering Workspace

At the center of EDFS Research is DFS-Editor, a programmable engineering workspace integrated with the EDFS project architecture.

DFS-Editor supports engineering development around GNU Octave and retained EDFS project state, including:

• project and file workspaces

• .m file development

• persistent GNU Octave sessions

• command execution

• Run File

• Run Selection

• Send Selection to Command Window

• command history

• working-directory management

• variable inspection

• CSV and numerical data

• plots

• retained output artifacts

• CRE-RF functions

• engineering help

• source hashing

• evidence receipts

Where GNU Octave is the declared numerical authority, accepted engineering mathematics execute through GNU Octave while EDFS manages orchestration, identity, evidence, artifacts, and reporting.

This creates a controlled environment in which numerical exploration can remain connected to the engineering project around it.

CRE-RF — Interactive RF/Microwave Engineering

EDFS Research makes admitted CRE-RF — Cognitave RF Engineering methods available within an interactive computational environment.

Research workflows can include operations involving:

• impedance and admittance

• reflection coefficient

• S/Z/Y/ABCD transformations

• two-port cascade

• reference-plane transport

• transmission-line calculations

• return loss and mismatch

• RF network comparison

• closure diagnostics

• admitted deformation operators

• robustness and sensitivity methods

An engineer can move through:

governing relation → interactive execution → parameter modification → visualization → retained code → evidence → validation → reusable engineering method

inside the same project architecture.

From Research Code to Governed Engineering Capability

EDFS Research provides an explicit development path for user-created numerical methods.

A research method can progress through:

DFS-Editor Experiment

↓

User Octave Script / Function

↓

Extension Manifest

↓

Typed Inputs & Outputs

↓

Validation & Evidence

↓

Governed EDFS / XiRA Graph-v2 Capability

This gives research groups and advanced engineering teams a structured path from exploratory computational work toward reusable engineering capability.

Experimental methods retain their own maturity state while accepted methods can be promoted through explicit validation.

DFS-XiRA — Governed Computational Intelligence

EDFS Research provides the host architecture for governed DFS-XiRA workflows.

XiRA is organized as a layered computational engineering system that can connect high-fidelity evidence, reduced models, topology, circuit representations, search, optimization, and retained engineering results.

Representative layers include:

1. Intake & Authority

Governed source packages, private runtime handling, dataset identity, and declared numerical authority.

2. Dataset & Feature Intake

HFSS exports, numerical tables, measurement data, CSV, Touchstone, and other typed engineering datasets.

3. Equivalent-Circuit Model Extraction

Parameterized ECM extraction and associated diagnostics.

4. Topology & Netlist Construction

Declared topology families, model instantiation, and netlist generation.

5. Surrogate Modeling

Model fitting, validation, selection, and candidate scoring.

6. Governed Search & Optimization

Bounded continuous and mixed-variable engineering search with retained provenance.

7. Circuit-vs-EM Closure

Magnitude, phase, resonance, bandwidth, and selected frequency-window comparison.

8. Active Learning

Next-simulation recommendations, exclusion, diversity, and uncertainty-proxy analysis.

9. Graph, Evidence & Reporting

EDFS graph registration, retained results, project persistence, evidence, and Report Model v2.

This architecture creates a pathway for reducing expensive design-space exploration by using existing engineering evidence to identify potentially valuable next calculations.

Typed Engineering Datasets

EDFS Research treats datasets as engineering objects rather than anonymous files.

Supported and targeted dataset classes include:

• Touchstone .s1p, .s2p, and .sNp

• HFSS exported data

• CST exported data

• EMPro exported data

• VNA measurements

• complex S-parameter tables

• CSV

• MAT

• JSON

• numerical matrices

• retained EDFS result bundles

Dataset metadata can preserve:

• physical ports

• units

• reference impedance

• source

• frequency axis

• design variables

• state variables

• provenance

• SHA-256 identity

Methods can therefore consume datasets with explicit engineering semantics and provenance.

Heterogeneous Solver Authority

EDFS Research is designed around explicit computational authority.

Electromagnetic Evidence

High-fidelity EM results from designated sources such as HFSS, CST, EMPro, or measurement systems can enter EDFS as typed engineering evidence.

EDFS can organize, compare, reduce, fit, qualify, relate, and report those results while retaining their original authority.

Circuit Simulation

Circuit-domain execution can be performed through ngspice using governed netlist workflows.

Numerical Engineering

Accepted CRE-RF and XiRA numerical workflows execute through GNU Octave where Octave is the declared numerical authority.

Orchestration

EDFS coordinates jobs, artifacts, project identity, validation state, provenance, and reporting across these computational domains.

This creates a heterogeneous engineering environment in which each engine performs the work for which it is authoritative while EDFS preserves the design-flow relationship among them.

EM → Circuit → Closure

One of the strongest EDFS Research workflows is the relationship between high-fidelity electromagnetic evidence and reduced circuit representations.

A project can organize:

EM Dataset

↓

Feature Extraction

↓

Equivalent-Circuit Model

↓

Topology Selection

↓

Netlist

↓

Circuit Simulation

↓

EM-vs-Circuit Comparison

↓

Closure Metrics

↓

Model Acceptance / Next Simulation

This workflow is relevant to engineering research involving:

• microwave structures

• filters

• resonators

• antennas

• frequency-selective surfaces

• metamaterial structures

• tunable RF devices

• arrays

• reconfigurable hardware

• compact and reduced-order models

The original electromagnetic evidence remains associated with the model derived from it.

Evidence-Preserving Computation

EDFS Research retains the computational context around an engineering result.

A governed run can preserve:

• source SHA

• command

• runtime identity

• working directory

• input identity

• output identity

• generated artifacts

• timestamps

• stdout / stderr

• project association

• graph association

• evidence association

• reports

Plots and numerical artifacts can remain associated with the run that generated them.

This turns reproducibility into part of the project architecture rather than an after-the-fact documentation exercise.

Qualification States

EDFS Research distinguishes the maturity and authority of engineering results.

A computational object can progress through states such as:

Executed

Numerically Verified

Physically Validated

Engineering Closed

Causality Assessed

Promoted / Governed

This allows exploratory algorithms, numerical implementations, measurements, external solver evidence, and qualified engineering models to coexist without losing their individual status.

Research Project History

Long-duration engineering programs accumulate models, datasets, code, solver outputs, and revisions.

EDFS Research can retain:

• verified project identity

• project SHA-256

• Graph-v2 identity

• evidence references

• historical relationships

• qualification state

• rerun requirements

A retained project can be inspected as historical engineering evidence without automatically being treated as a current numerical execution.

This provides a persistent computational record as projects, software environments, and engineering teams evolve.

Protected Computational Methods

EDFS Research supports workflows in which protected numerical methods remain isolated while engineering results remain inspectable.

Protected computational engines such as XiRA can expose:

• execution identity

• accepted artifacts

• results

• evidence

• provenance

• reports

without requiring protected implementation source to become part of the normal user-facing project record.

This enables proprietary computational methods to participate in auditable engineering workflows.

Designed for Advanced Engineering R&D

EDFS Research is particularly suited to:

RF & Microwave R&D

Graph-native RF analysis, network methods, CRE-RF, S-parameters, transformations, robustness, and model development.

Electromagnetic Model Reduction

Transform high-cost electromagnetic evidence into governed reduced models while preserving source identity.

Surrogate & Reduced-Order Modeling

Develop and compare computationally efficient representations against retained high-fidelity evidence.

Adaptive Simulation

Use existing evidence to prioritize potentially valuable future solver evaluations.

EM-to-Circuit Closure

Build equivalent models and evaluate circuit behavior against electromagnetic evidence.

Reconfigurable & Tunable Systems

Study parameterized hardware, design states, model families, and candidate configurations.

Research Algorithm Development

Develop numerical methods in DFS-Editor and move successful methods toward explicit extension and validation stages.

Solver Integration

Coordinate commercial solvers, open computational engines, numerical methods, measurements, and internal engineering algorithms within one project architecture.

Built for Research Organizations

EDFS Research is designed for:

• industrial advanced R&D

• RF and microwave engineering groups

• communications and sensing research

• antenna and array engineering

• semiconductor and electronics R&D

• national laboratories

• university laboratories

• graduate research groups

• organizations developing proprietary numerical methods

• teams combining simulation and measurement

• engineering groups operating across multiple computational tools

The common requirement is a design flow whose engineering information must remain connected beyond a single solver or application.

EDFS Edition Position

EDFS Core

Graph-native project, execution, provenance, and reporting foundation.

EDFS RF

Professional RF/microwave engineering with DFS-RF and CRE-RF workflows.

EDFS RF Advanced

Advanced governed RF engineering, physical contracts, circuit, radar, and mixed-engine workflows.

EDFS Research

The programmable computational engineering environment combining specialist DFS workspaces, DFS-Editor, typed datasets, retained project history, protected-engine workflows, extension development, solver evidence, computational provenance, engineering qualification, and governed method promotion.

2026 R1 First-Mover Perpetual License

USD $9,950 per seat

One-time software license.

The 2026 R1 First-Mover License provides a perpetual right to use the licensed EDFS Research 2026 R1 software, subject to the applicable Cognitave software license agreement.

There is no mandatory recurring subscription fee merely to continue using the licensed 2026 R1 software.

Included with Purchase

• one EDFS Research 2026 R1 licensed seat

• current qualified downloadable build

• 12 months of EDFS Research 2026 R1 maintenance updates

• access to applicable 2026 R1 documentation

• access to additional supported EDFS Research 2026 R1 platform packages if released by Cognitave during the included maintenance period

• perpetual continued use of the licensed 2026 R1 software after the included maintenance period

Optional Services

The following can be contracted separately according to project requirements:

• technical support

• deployment assistance

• training

• workflow migration

• solver integration

• custom adapters

• custom DFS extensions

• research-method integration

• validation support

• XiRA or protected-engine programs

• application engineering

• institution-specific development

Future major EDFS releases and separately licensed products are not automatically included unless expressly stated in the applicable license agreement.

All EDFS technology, source code, architecture, trademarks, patents and other intellectual-property and product-development rights remain with Cognitave Inc. and the applicable rights holders.

The First-Mover price is a limited commercial launch offer and may be withdrawn or repriced for future purchases.

Download & Platform Availability

Available Now

macOS — Intel x86_64

Distribution: Apple macOS .dmg

This is the current downloadable EDFS Research 2026 R1 platform build.

Additional Platforms in Development / Qualification

Apple Silicon — arm64

Native Apple Silicon packaging is planned as part of EDFS platform expansion.

Microsoft Windows — x64

Windows packaging is planned for a future qualified EDFS Research build.

Linux — x64

Linux distribution is part of the platform-expansion roadmap.

Additional-platform availability is announced only after the applicable build has completed Cognitave packaging and qualification.

A purchase of the current license should therefore be made on the basis of the currently available macOS Intel build. Future platform availability is not implied until the corresponding build is formally released.

Runtime Environment

Depending on the workflow, EDFS Research 2026 R1 can operate with designated external numerical authorities including:

• GNU Octave

• Python runtime components used for EDFS orchestration

• ngspice

• TeX / LaTeX

• local EDFS project and artifact storage

External engineering environments—including commercial EM, circuit, PCB, system, or measurement tools—remain separately installed and licensed by their respective providers.

Product Information

Product: Cognitave EDFS Research

Full Name: Electronics Design Flow Studio — Research Edition

Release: 2026 R1

Category: Computational Engineering / EDA / Advanced R&D

Architecture: Graph-native modular DFS environment

Project Model: Graph Schema v2

Programmable Workspace: DFS-Editor

Numerical Research Authority: GNU Octave where declared

Circuit Authority: ngspice where declared

External EM Authority: Designated solver or measurement evidence

Computational Intelligence: CRE-RF / governed XiRA architecture

Reporting: RF Evidence / Report Model v2 / HTML / LaTeX / retained engineering outputs

Current Platform: macOS Intel x86_64

Distribution: .dmg

License: Perpetual single-seat 2026 R1 software-use license

First-Mover Price: USD $9,950

Included Maintenance: 12 months of 2026 R1 maintenance updates

Purchase EDFS Research 2026 R1

USD $9,950

Perpetual Single-Seat License

Purchase EDFS Research 2026 R1 and download the current qualified macOS Intel build.

[ADD TO CART / BUY NOW]

For multi-seat deployment, institutional procurement, purchase orders, specialized integration, or engineering services:

Cognitave Inc.

https://www.cognitave.com/

EDFS Editions

https://www.cognitave.com/edfs-editions

Technical Inquiries

tex@cognitave.com

Maxdi Research

https://www.maxdi.com/research

Graph-Native RF/Microwave Authority, Radar & Mixed-Engine Engineering Software

Professional Single-User License

List Price: $2,995

Optional Launch Price: $2,495

Existing EDFS RF 2026 R1 Professional Upgrade: $1,500

Advanced RF Engineering Beyond Numerical Execution

EDFS RF Advanced 2026 R1 is the advanced RF/microwave tier of Electronics Design Flow Studio, combining the complete EDFS Core + EDFS RF environment with governed computational authority, RF physical contracts, radar execution, mixed-engine graph composition, engineering evidence, provenance, replay, and reproducible technical reporting.

RF Advanced is designed for engineering workflows where obtaining a numerical result is only one part of the problem.

The environment explicitly distinguishes:

Execution → Numerical Verification → Physical Validation → Engineering Closure → Promotion

A successful numerical run is therefore never silently treated as physical validation or a closed engineering conclusion.

What RF Advanced Adds

Governed CRE-RF Numerical Authority

RF Advanced implements persistent, hash-governed GNU Octave numerical authority where declared by CRE-RF.

The current implementation preserves the CRE-RF E01-E14 validation lineage and supports 34 staged CRE-RF operations.

The environment also verifies the identity and integrity of the original CRE-RF-I GNU Octave companion.

If a workflow declares GNU Octave as its numerical authority and that authority is unavailable, modified, or invalid, EDFS fails explicitly.

No silent Octave-to-Python mathematical fallback is permitted.

Python remains available for orchestration and approved QA/reference functions where applicable.

Graph-Native RF Advanced Architecture

EDFS RF Advanced extends the Graph Schema v2 environment with authority-preserving execution.

The architecture combines:

Graph-v2 Projects + Engineering Canvas + Typed Fibers + RF Evidence + Report Model v2

with per-node computational authority and engine dispatch.

Current engine families include:

CRE_RF_OCTAVE
CRE-RF numerical workflows

CRE_RF_RADAR_OCTAVE
Dedicated radar computational authority

XIRA_OCTAVE
Controlled external-engine boundary for protected XiRA workflows

RF Advanced independently tracks:

• product tier,

• DFS level,

• engine family,

• computational authority,

• runtime readiness,

• physical authority,

• evidence,

• and qualification state.

This prevents an engineering block from being declared valid merely because another computational engine can produce a numerically similar result.

Graph & Project Environment

RF Advanced inherits the complete EDFS Core and EDFS RF project environment, including:

• Graph Schema v2

• scalable RF engineering canvas

• new projects and user-authored arbitrary RF graphs

• typed engineering nodes

• typed ports and fibers

• retained engineering results

• RF Evidence

• project persistence

• replay

• stale-state handling

• Data Display

• structured engineering outputs

• technical reporting

This creates a persistent engineering project rather than a collection of unrelated simulation files and scripts.

RF Physical Contracts

RF Advanced introduces explicit physical-contract information into the graph.

Supported engineering concepts include:

• RF reference impedance

• reference planes

• physical RF ports

• typed data fibers

• network and distributed states

• mode basis

• normalization

• material state

• constitutive state

• boundary state

• provenance

Physical ports and engineering contracts remain distinguishable from generic computational data connections.

This provides a stronger basis for connecting numerical execution to the physical assumptions under which an RF result is meaningful.

Radar Engineering

Radar is treated as a distinct computational authority rather than as an alias for conventional RF network analysis.

EDFS RF Advanced includes a dedicated:

CRE_RF_RADAR_OCTAVE

engine family together with integration of the:

EDFS Radar Benchmark v1.2

reference implementation.

The current radar line includes reference workflows for:

• FMCW radar processing

• range-Doppler analysis

• MUSIC-based processing

• governed radar evidence

• radar result integration into the EDFS project structure

Radar output is not automatically promoted into higher inference domains. Promotion into MXD-COGN, XiRA, or another higher-level inference process must be explicitly declared.

Mixed-Engine Engineering

RF Advanced supports per-node mixed-engine planning and dispatch.

Different nodes within an engineering graph can therefore retain distinct computational authorities and runtime requirements.

The environment separates:

Which engine can execute a calculation

from:

Which engine is authoritative for that engineering claim.

This distinction is central to the RF Advanced architecture.

It provides a foundation for engineering workflows combining CRE-RF, radar processing, imported physical evidence, external solvers, and protected computational engines without silently changing the authority of the model.

XiRA-Ready External-Engine Architecture

EDFS RF Advanced provides a governed interface for protected XiRA workflows.

The current RF Advanced product includes:

• a dedicated XIRA_OCTAVE engine family

• external-engine-required authority state

• explicit XiRA runtime health and availability behavior

• failure when the required protected engine is unavailable

• interface targets for XIRA_JOB

• XIRA_RESULT_BUNDLE

• RF Evidence mapping

• Report Model v2 integration

• status and health integration

Important XiRA Product Boundary

Protected XiRA mathematics and protected XiRA source are not bundled with the standard EDFS RF Advanced installer.

RF Advanced should therefore be described as:

“XiRA-ready external-engine architecture; protected XiRA workflows are enabled separately under their own source, licensing, and qualification gates.”

Engineering Evidence, Provenance & Reporting

RF Advanced retains the relationship between computation and the engineering evidence generated from it.

The environment supports:

• retained graph results

• RF Evidence

• engine identity

• source identity

• source hashes

• execution status

• validation status

• project replay

• provenance

• Data Display

• Report Model v2

• engineering report generation

• LaTeX/PDF reporting

The objective is not simply to produce a result.

It is to retain sufficient information to establish:

what ran, which authority produced it, under which project state, using which source, and what level of engineering claim that result supports.

Representative RF Graph Execution

Native target validation included a user-authored RF graph containing:

RF Reference Impedance → Complex Load Vector → Z-to-Γ CRE-RF Operator → Return Loss

The graph executed through GNU Octave and produced retained project results together with a generated engineering report.

An independent opposite-backend numerical assessment was performed against the same graph and parameter state.

9 comparisons passed with 0 failures at absolute and relative tolerances of 10⁻¹⁰.

This represents scoped numerical verification and is not presented as physical validation.

Release Acceptance

The RF Advanced NP7 engineering program has passed the principal release gates:

NP7 Part 1 — PASS
Predecessor preservation and authority integration

NP7 Part 2 — PASS
CRE-RF authority, companion mounting and E01-E14 execution

NP7 Part 3 — PASS
Physical contracts and radar authority

NP7 Part 4 — PASS
Mixed-engine composition, edition enforcement and HTTP endpoints

Combined NP7 HTTP RC1 — PASS

HTTP Source Baseline — FROZEN

Native macOS x86_64 Application — PASS

DMG Installation — PASS

Finder Launch from /Applications — PASS

Project Manager — PASS

DFS-RF Graph Authoring — PASS

GNU Octave Execution — PASS

Data Display — PASS

LaTeX/PDF Reporting — PASS

Native Desktop Environment

The accepted RF Advanced native candidate successfully exercised:

Project Manager → DFS-RF Editor → CRE-RF Graph Authoring → GNU Octave Execution → Data Display → Engineering Reporting

The accepted native platform for this release is:

macOS Intel x86_64

Current reference environment:

• macOS Intel x86_64

• Python 3.12 host/runtime environment

• GNU Octave 10.3 for workflows declaring Octave authority

• local storage for projects, evidence and generated reports

• EDFS RF Advanced native DMG

Apple Silicon, Windows and Linux are not qualified native targets for this release unless separately stated in a subsequent release notice.

Included with EDFS RF Advanced 2026 R1

The Professional Single-User License includes:

• complete EDFS Core capability stack

• complete EDFS RF capability stack

• RF Advanced NP7 authority and composition layer

• Graph Schema v2 project environment

• DFS-RF engineering workspace

• CRE-RF graph-native operators

• E01-E14 CRE-RF validation lineage

• GNU Octave authority framework

• RF physical contracts

• EDFS Radar Benchmark v1.2 integration

• radar reference backend

• mixed-engine execution architecture

• RF Evidence

• Data Display

• retained-result and replay capability

• engineering report generation

• technical documentation

• reference examples

• native macOS Intel x86_64 application

• 12 months of updates within the 2026 R1 program

Not Included in the Base License

The standard RF Advanced license does not include:

• protected XiRA source or protected XiRA workflow licenses

• third-party commercial EM solver licenses

• third-party solver software

• organization-wide licenses

• server licenses

• floating licenses

• redistribution rights

Enterprise, laboratory, organizational, integration and protected-engine licensing can be quoted separately.

Who RF Advanced Is For

EDFS RF Advanced is designed for:

RF & Microwave Engineers
Reusable graph-native RF models, CRE-RF operators, numerical authority and engineering evidence.

Antenna & Array Engineers
Physical contracts, model provenance and integration with advanced RF/EM workflows.

Radar Engineers
Dedicated radar authority, FMCW processing, range-Doppler and MUSIC reference workflows.

Aerospace & Sensing Programs
Engineering environments requiring explicit authority, validation states, evidence and reproducibility.

Research & Advanced Development Teams
Persistent computational projects requiring replay, provenance, mixed-engine execution and technical reporting.

XiRA Programs
Organizations preparing controlled protected-XiRA integration while keeping proprietary computational source outside the public EDFS host.

Release: 2026 R1
Native Candidate: NP7 Native RC1 / 1.1.0-dev.8
Architecture: macOS Intel x86_64
Primary CRE-RF Numerical Authority: GNU Octave where declared
Product Type: Digital Engineering Software
License: Professional Single-User
SKU: EDFS-RFA-2026R1-PRO-1U-X64

Purchase

EDFS RF Advanced 2026 R1

Professional Single-User License

$2,995

Existing EDFS RF customers may qualify for an RF Advanced upgrade license.

For enterprise deployment, protected XiRA integration, organizational licensing, technical consulting, or engineering-program integration, contact Cognitave Inc.

EDFS Editions
https://www.cognitave.com/edfs-editions

EDFS RF
https://www.cognitave.com/edfs-editions/edfs-rf

EDFS RF Advanced
https://www.cognitave.com/edfs-editions/edfs-rf-advanced

EE Store
https://www.cognitave.com/ee-store

Technical inquiries:
tex@cognitave.com

Research & collaboration:
mxd@maxdi.com

Graph-Native RF/Microwave Engineering Software with DFS-RF

Professional Single-User License

Price: $1,495

RF/Microwave Engineering as an Executable Design Flow

EDFS RF 2026 R1 is the professional RF/microwave edition of Electronics Design Flow Studio, extending the EDFS graph-native project environment with the DFS-RF engineering layer.

DFS-RF brings RF objects, ports, fibers, numerical kernels, network transformations, validation state, engineering evidence, provenance, results, persistence, replay, and technical reporting into one executable project structure.

The objective is to move beyond isolated RF calculations and disconnected solver outputs toward a persistent engineering design flow in which the origin, transformation, validity, and downstream use of engineering data remain identifiable.

The released edition supports professional RF network analysis, CRE-RF computational workflows, Touchstone data, numerical execution through Python and GNU Octave, engineering validation, RF Evidence, and reproducible technical reporting.

What EDFS RF Adds

EDFS RF extends the EDFS environment with specialized DFS-RF capabilities for RF and microwave engineering.

The current release includes:

• Graph Schema v2 RF workflows

• CRE-RF E01-E14 reference examples

• Touchstone S1P and S2P source binding

• S, Z, Y, and ABCD network representations

• S↔Z conversion

• S↔Y conversion

• S↔ABCD conversion

• RF network cascade

• renormalization

• de-embedding

• reference-plane translation

• frequency alignment

• RF network comparison

• RF Evidence contracts

• numerical assessment and validation

• project persistence and replay

• HTML, JSON, LaTeX, and PDF reporting

• Python 3.12 backend support

• GNU Octave numerical authority where declared by CRE-RF kernels

Graph-Native RF Engineering

At the center of EDFS RF is a graph-native representation of the RF engineering workflow.

Rather than treating a project only as a collection of unrelated files, RF models and calculations can participate in a connected project structure in which engineering identity and dependencies are retained.

DFS-RF combines:

RF Objects → Ports → Fibers → Numerical Kernels → Validation → RF Evidence → Results → Reports

Engineering information such as source identity, reference impedance, reference plane, topology, numerical backend, and provenance remains associated with the data as it moves through the workflow.

This provides a stronger basis for reproducing, validating, modifying, and reporting RF calculations as a project evolves.

CRE-RF E01-E14

EDFS RF includes the CRE-RF E01-E14 verification series, progressing from fundamental RF representations into deformation, robustness, and recovery-oriented engineering workflows.

E01-E05 — RF Foundations

Reference examples include:

• RF engineering objects

• impedance-to-reflection conversion

• Z→Γ transformation

• Möbius mapping

• transmission-line behavior

• reference-plane transport

E06-E10 — RF Networks & Static Deformation

The next group develops:

• power and matching

• de-embedding

• S/Z/Y/ABCD conversion

• RF network closure

• Jacobians

• static RF deformation

E11-E14 — Dynamics, Robustness & Recovery

The advanced reference sequence introduces:

• RF dynamics

• event trajectories

• robustness

• bounded recovery and control

Together, these examples provide both a validation lineage and an educational path through the principal DFS-RF computational concepts.

RF Network Engineering

DFS-RF provides reusable graph-native network operators for professional RF workflows.

Supported network operations include:

S ↔ Z

S ↔ Y

S ↔ ABCD

together with:

• network cascade

• impedance renormalization

• de-embedding

• reference-plane translation

• frequency alignment

• RF network comparison

The purpose is not simply to calculate a transformed network representation.

EDFS retains engineering context surrounding that transformation, including the source, reference conditions, topology, and project provenance.

This allows downstream calculations to remain connected to the engineering conditions under which their upstream data were produced.

Touchstone & RF Data

EDFS RF supports Touchstone S1P and S2P source binding within the graph-native RF workflow.

Imported network data can therefore participate in the same project structure as calculated quantities, RF operators, transformations, validation state, evidence, and reports.

This creates a foundation for combining imported RF data with computational design-flow operations without treating the source file as an isolated artifact.

Numerical Backends

EDFS RF supports both GNU Octave and Python 3.12, with different responsibilities depending on the engineering workflow.

GNU Octave

GNU Octave serves as the numerical authority where explicitly declared by CRE-RF computational kernels.

When a CRE-RF workflow declares Octave authority, EDFS does not silently substitute another mathematical implementation if that authoritative backend is unavailable.

Python 3.12

Python supports:

• graph execution

• workflow orchestration

• quality assurance

• project processing

• approved numerical implementations

This separation allows EDFS to distinguish computational orchestration from the numerical authority assigned to a specific engineering method.

Validation & Engineering Evidence

EDFS RF explicitly distinguishes different levels of engineering status.

These include:

Execution

A numerical workflow completed.

Numerical Verification

The computed result satisfies the applicable numerical assessment.

Physical Validation

The result has supporting physical evidence appropriate to the engineering claim.

Engineering Closure

The engineering workflow has sufficient evidence and qualification for its declared purpose.

Causality Assessment

Where applicable, the physical and network behavior can be examined against appropriate causality considerations.

A successful numerical run is therefore not automatically presented as physical validation.

This distinction is central to the DFS-RF engineering methodology.

RF Evidence

RF Evidence provides a structured mechanism for retaining engineering qualification information with the project.

Evidence can remain associated with:

• graph state

• source data

• numerical backend

• numerical results

• validation state

• project identity

• provenance

• generated reports

The objective is to preserve not only a final number or plot, but also the engineering context required to interpret that result.

Project Persistence & Replay

EDFS RF projects preserve engineering state across sessions.

Validated project history is retained, but historical results are not silently represented as current after reopening or modification.

The release distinguishes states including:

REQUIRES_RERUN

after reopening when execution must be refreshed,

and:

STALE_PROJECT_CHANGED

when a relevant modification invalidates previously qualified results.

This prevents an older result from being silently treated as current engineering validation after the underlying project has changed.

Engineering Reporting

EDFS RF includes RF Report Model v2 for reproducible engineering documentation.

Supported output formats include:

HTML

JSON

LaTeX

PDF

Reports can preserve information associated with:

• the project

• engineering graph

• input source

• numerical backend

• numerical results

• validation state

• provenance

Reporting is designed to use retained engineering results rather than silently recomputing the project during document generation.

This allows the generated technical report to remain connected to the executed engineering state from which it was produced.

Typical DFS-RF Workflow

A professional EDFS RF workflow follows the general sequence:

Create or Load Project

↓

Build or Load RF Graph

↓

Bind Models / Touchstone Sources

↓

Set RF Parameters & Reference Conditions

↓

Validate Graph

↓

Execute Numerical Backend

↓

Inspect Results

↓

Assess Validation & RF Evidence

↓

Generate Engineering Report

↓

Compile HTML / LaTeX / PDF

The same project can then be persisted, reopened, modified, rerun, and reported while retaining engineering provenance.

Release Validation

EDFS RF 2026 R1 — Release 1.0.0 completed the Intel release-validation program.

Engineering Regression

261 / 261 engineering regression tests — PASS

Packaging Policy

2 / 2 packaging-policy tests — PASS

Persistence Lifecycle

RC1 persistence lifecycle — PASS

Source Acceptance

RC1 source pre-freeze acceptance — PASS

Native Runtime

Native runtime verification — PASS

Native Binary

macOS x86_64 binary — VERIFIED

Distribution Image

DMG integrity — VERIFIED

These tests establish the accepted release baseline for the current EDFS RF 2026 R1 Intel distribution.

Native Desktop Environment

The current qualified distribution target is:

macOS Intel x86_64

GNU Octave is required for workflows declaring GNU Octave numerical authority.

Python 3.12 supports graph execution, orchestration, QA, and approved numerical implementations.

Platform Status

macOS Intel x86_64 — Current qualified release

Apple Silicon arm64 — Separate distribution after corresponding release acceptance

Users should verify platform compatibility before purchase and installation.

Included with EDFS RF 2026 R1

The Professional Single-User License includes:

• EDFS RF software

• DFS-RF engineering workspace

• Graph Schema v2 RF workflows

• CRE-RF E01-E14 examples

• RF network operators

• Touchstone S1P/S2P integration

• RF Evidence

• validation workflows

• Python backend support

• GNU Octave execution where required

• project persistence

• replay capability

• HTML reporting

• JSON engineering output

• LaTeX reporting

• PDF report generation

• product documentation

• downloadable macOS Intel x86_64 installer

Who EDFS RF Is For

RF & Microwave Engineers

Build reusable engineering workflows around RF networks, S-parameters, reference planes, transformations, matching, de-embedding, and engineering evidence.

RF Circuit & Network Designers

Connect network models and transformations inside a persistent graph rather than maintaining independent calculation files.

RF Research Engineers

Use CRE-RF computational examples, Python, GNU Octave, validation, provenance, and reporting within the same project environment.

Measurement & Characterization Workflows

Import Touchstone network data and retain its engineering identity and provenance through subsequent network processing.

Engineering Education & Advanced Training

Use the E01-E14 CRE-RF sequence as an executable progression from RF fundamentals through deformation, robustness, and recovery.

Computational Engineering Teams

Maintain numerical execution, validation state, evidence, results, and reports in a traceable engineering structure.

EDFS RF vs. RF Advanced

EDFS RF 2026 R1 is the professional RF/microwave engineering tier.

It provides the core DFS-RF workflow for RF objects, network engineering, Touchstone data, CRE-RF operators, numerical execution, validation, RF Evidence, persistence, replay, and technical reporting.

Organizations requiring the next level of advanced computational authority, radar workflows, physical-contract extensions, mixed-engine composition, or controlled XiRA integration should evaluate:

EDFS RF Advanced 2026 R1

RF Advanced builds on the RF edition rather than replacing it.

Product Information

Product: EDFS RF

Edition: DFS-RF

Release: 2026 R1

Release Version: 1.0.0

Product Type: RF/Microwave Engineering Software

Architecture: macOS Intel x86_64

Numerical Backends: GNU Octave and Python 3.12

License: Professional Single-User License

Price: $1,495

Purchase & Download

EDFS RF 2026 R1

DFS-RF Edition — Professional Single-User License

$1,495

Purchase includes the released EDFS RF software, DFS-RF workspace, CRE-RF E01-E14 examples, RF network operators, RF Evidence, reporting capabilities, documentation, and downloadable macOS installer.

Purchase & Download

https://www.cognitave.com/ee-store/p/graph-native-rfmicrowave-engineering-release-100-dfs-rf-edition-professional-single-user-license

Learn More

EDFS Editions
https://www.cognitave.com/edfs-editions

EDFS / Maxdi Research
https://www.maxdi.com/system

Cognitave Inc.
https://www.cognitave.com/

Technical Inquiries
tex@cognitave.com

Research & Collaboration
mxd@maxdi.com

Graph-Native Engineering Design Flow Software

Professional Single-User License

Price: $495

The Foundation of the EDFS Engineering Platform

EDFS Core 2026 R1 is the foundational edition of Electronics Design Flow Studio: a graph-native engineering environment for constructing, executing, validating, preserving, and reporting computational engineering workflows.

Core establishes the common project, graph, numerical-execution, provenance, results, validation, and reporting architecture used throughout the EDFS product family:

EDFS Core → EDFS RF → EDFS RF Advanced → EDFS Research

Rather than treating engineering work as a collection of disconnected scripts, files, calculations, and presentation diagrams, EDFS organizes computational engineering as a persistent executable graph.

Models, parameters, numerical kernels, transformations, results, validation state, provenance, and reports remain connected within one project environment.

What EDFS Core Provides

EDFS Core establishes the shared execution foundation for the entire EDFS platform.

The 2026 R1 release includes:

• graph-native engineering projects

• Graph Schema v2

• graph editor and project environment

• typed engineering nodes

• typed ports and fibers

• engineering transformations

• registered numerical kernels

• Python / NumPy execution

• GNU Octave integration

• deterministic run records

• engineering result contracts

• provenance tracking

• authority tracking

• numerical validation infrastructure

• project replay

• structured engineering results

• engineering plots

• Smith-domain visualization support

• LaTeX technical reporting

• PDF report generation

• native macOS desktop application

• reference engineering examples

Graph-Native Engineering

Traditional computational workflows often distribute engineering state across:

• source files

• scripts

• solver inputs

• numerical outputs

• plots

• reports

• manually maintained notes

EDFS Core introduces a different organizational model.

The engineering workflow itself becomes a graph.

A project can represent:

Engineering Objects → Connections → Transformations → Numerical Kernels → Results → Validation → Reports

Each element can retain its relationship to upstream and downstream objects.

This makes the project more than a visual diagram.

The graph becomes the executable engineering structure.

Graph Schema v2

Graph Schema v2 provides the common project representation used across the EDFS 2026 R1 product family.

The schema supports typed engineering objects and relationships so that computational information can move through a project without losing its structural identity.

The Core environment provides the shared graph architecture on which RF, RF Advanced, and Research capabilities are subsequently layered.

This enables an EDFS project to move into a higher product tier without changing the fundamental project model.

Typed Nodes, Ports & Fibers

EDFS represents engineering workflows through typed computational objects.

Nodes

Nodes can represent:

• engineering quantities

• mathematical models

• numerical kernels

• data sources

• transformations

• computational stages

• result objects

Ports

Ports define the expected inputs and outputs associated with an engineering object.

Fibers

Fibers carry typed engineering information between compatible objects.

Together, these structures allow EDFS to distinguish an executable engineering graph from a generic node-and-line drawing environment.

Kernel-Based Numerical Execution

EDFS Core uses registered numerical kernels to execute graph operations.

A kernel associates an engineering operation with a defined numerical implementation and execution contract.

The execution architecture supports:

Python / NumPy

Python provides numerical execution, workflow orchestration, project processing, validation infrastructure, and approved engineering kernels.

GNU Octave

GNU Octave is available for engineering workflows and reference calculations requiring Octave execution.

The dual-backend architecture provides a foundation for numerical workflows whose computational methods may originate in different engineering environments.

Deterministic Run State

EDFS Core records computational execution as part of the engineering project.

A run is not treated merely as an ephemeral action.

The environment can retain information associated with:

• graph state

• selected numerical kernel

• project inputs

• execution status

• outputs

• validation state

• provenance

• generated engineering results

This establishes a deterministic engineering record that can be inspected and reused after execution.

Engineering Results

EDFS Core provides structured result contracts rather than treating every numerical output as an unrelated file.

Results can remain associated with:

• the computational node that produced them

• the graph state

• the numerical backend

• project parameters

• upstream dependencies

• validation state

• reporting objects

This creates the foundation for downstream analysis, visualization, replay, and documentation.

Validation & Replay

EDFS Core includes infrastructure for numerical validation and project replay.

The goal is to preserve the relationship between an engineering result and the project state that produced it.

A computational workflow can therefore be:

constructed → executed → validated → preserved → reopened → replayed → reported

rather than reconstructed manually from separate scripts and files.

This capability becomes increasingly important as projects become larger and involve multiple numerical methods or engineering domains.

Engineering Plots & Visualization

EDFS Core provides engineering visualization within the same project environment.

The 2026 R1 architecture includes:

• engineering plots

• structured result visualization

• Smith-domain views where applicable

• project-linked result displays

Visualization is therefore connected to the underlying engineering state rather than existing only as an exported image.

Engineering Reporting

EDFS Core integrates technical documentation into the computational workflow.

Supported reporting capabilities include:

Structured Engineering Results

LaTeX

PDF

Engineering reports can be generated from the project state and numerical results so that calculations and documentation remain connected.

The objective is reproducible engineering reporting rather than manual transcription of results into separate documents.

Reference Engineering Examples

The EDFS Core qualification program includes reference CRE-RF numerical fixtures used to exercise the common graph and numerical architecture.

Reference workflows include engineering examples involving:

• complex RF representation

• impedance-to-reflection transformation

• Smith / Möbius mappings

• transmission-line propagation

• reference-plane transport

These examples demonstrate the common EDFS graph, numerical, result, validation, and reporting mechanisms.

They also provide a bridge into the specialized RF workflows available in EDFS RF.

Common EDFS Architecture

EDFS Core is not a separate lightweight application unrelated to the higher editions.

It is the common architecture beneath them.

EDFS Core

Graph-native project, numerical execution, provenance, results, validation, and reporting foundation.

EDFS RF

Adds specialized DFS-RF capabilities for professional RF/microwave engineering.

EDFS RF Advanced

Adds governed computational authority, RF physical contracts, radar workflows, mixed-engine composition, and controlled XiRA-ready integration.

EDFS Research

Extends the architecture toward higher experimental, mixed-domain, mixed-depth, inference, and research workflows.

The product family is cumulative.

Users can move upward in capability while remaining within the same underlying engineering project architecture.

Typical EDFS Core Workflow

A Core project follows the general sequence:

Create Project

↓

Construct Engineering Graph

↓

Add Nodes, Ports & Fibers

↓

Configure Parameters

↓

Assign Numerical Kernels

↓

Validate Graph

↓

Run

↓

Inspect Engineering Results

↓

Preserve Run State & Provenance

↓

Generate Technical Report

↓

Compile LaTeX / PDF

This creates a reusable computational engineering project rather than an isolated numerical run.

Who EDFS Core Is For

Computational Engineers

Build repeatable engineering workflows around connected models and numerical kernels.

Engineering Researchers

Preserve computational structure, execution history, results, provenance, and technical reporting within one project.

Scientists & Applied Mathematicians

Connect numerical operations and structured transformations through a persistent executable graph.

Engineering Educators & Students

Use graph-native computational examples to connect mathematical operations with executable engineering workflows.

Software & Systems Engineers

Develop structured engineering workflows in which computation, data, outputs, and reporting remain connected.

Teams Evaluating EDFS

Begin with the common platform architecture before moving into the specialized RF, RF Advanced, or Research editions.

Platform

The current EDFS Core distribution is targeted first at:

macOS Apple Silicon

Architecture: arm64

Installer: DMG

Release: 2026 R1

Python / NumPy and GNU Octave support the numerical execution environment.

Windows and Linux are planned under the common native-host architecture as future qualified platforms.

Included with EDFS Core 2026 R1

The Professional Single-User License includes:

• EDFS Core 2026 R1 native desktop application

• Graph Schema v2

• project environment

• graph editor

• typed nodes, ports, and fibers

• registered numerical kernels

• Python / NumPy execution

• GNU Octave integration

• structured engineering results

• deterministic run state

• provenance tracking

• numerical validation infrastructure

• replay infrastructure

• engineering visualization

• reference engineering examples

• LaTeX technical reporting

• PDF report generation

• product documentation

• macOS Apple Silicon installer

• 12 months of updates within the 2026 R1 program

Edition Position

EDFS Core — $495

Graph-native engineering design-flow foundation

Projects · Graph Schema v2 · numerical kernels · Python / Octave · provenance · results · validation · replay · reporting

EDFS RF — $1,495

Professional RF/Microwave engineering

Core + DFS-RF · CRE-RF workflows · Touchstone · RF networks · RF Evidence · RF validation

EDFS RF Advanced — $2,995

Advanced RF, radar & governed computational engineering

Core + RF + governed authority · physical RF contracts · radar · mixed-engine composition · XiRA-ready integration

EDFS Research

Higher experimental and research environment

Extended mixed-domain, mixed-depth, inference, radar, quantum, and experimental computational workflows.

License

EDFS Core 2026 R1 — Professional Single-User License

Perpetual single-user right to use the purchased 2026 R1 release, including 12 months of updates within the 2026 R1 program.

The standard license applies to one professional user.

Organization, laboratory, educational, server, integration, and other licensing arrangements may be offered separately.

Product Information

Product: EDFS

Edition: Core

Release: 2026 R1

Product Type: Graph-Native Engineering Design Flow Software

Architecture: macOS Apple Silicon / arm64

Numerical Backends: Python / NumPy and GNU Octave

Installer: DMG

License: Professional Single-User

Price: $495

Purchase & Download

EDFS Core 2026 R1

Graph-Native Engineering Design Flow Software

$495

Purchase includes the EDFS Core 2026 R1 native desktop application, Graph Schema v2 project environment, Python / GNU Octave numerical execution, reference engineering examples, technical reporting, and 12 months of R1 updates.

Purchase / Download

https://www.cognitave.com/ee-store/p/edfs-2026-r1-graph-native-engineering-design-flow-software

Downloads & Resources

Installation Guide

Quick Start

Release Notes

Qualification Status

Reference Examples

Technical Documentation

Learn More

EDFS Editions
https://www.cognitave.com/edfs-editions

EDFS / Maxdi Research
https://www.maxdi.com/system

Cognitave Inc.
https://www.cognitave.com/

Technical Inquiries
tex@cognitave.com

Research & Collaboration
mxd@maxdi.com

The complete CRE-RF I + II engineering series: twenty chapters spanning classical RF representation, electromagnetic fields, microwave networks and scattering through deformation dynamics, robustness, recoverability, stochastic RF, model fidelity, arrays, radar, EDFS execution, MXD-COGN inference and adaptive intelligent radar.

CRE-RF Complete Two-Volume Graduate Engineering Set

2 volumes · 902 publication pages · 20 chapters · Complete CRE-RF theory sequence

Volume I — Representational Foundations and the Deformed RF Object
Volume II — Deformation Dynamics, Robustness, Control and Inference

Canonical RF Theory & Training Reference for EDFS 2026 R1

COGNITAVE RF ENGINEERING

CRE-RF I + II
Complete Graduate Engineering Series

• Volume I: 423 pages

• Volume II: 479 pages

• Volume II begins on PDF page 424

CRE-RF-II extends the deformed RF object into dynamics, event trajectories, robustness, recoverability, stochastic deformation, model fidelity, arrays, radar, graph-native EDFS execution, MXD-COGN inference and adaptive intelligent radar systems.

CRE-RF-I develops a rigorous graduate-level foundation for RF and microwave engineering from electromagnetic fields, waves, power, impedance and distributed systems through typed ports, scattering operators, RF fiber geometry and the deformed RF object. It provides the mathematical RF foundation underlying the RF engineering layer of EDFS 2026 R1.

COGNITAVE RF ENGINEERING I — CRE-RF-I

Representational Foundations and the Deformed RF Object

Publication Release v1.1 · Cognitave Inc. / Maxdi Research

Cognitave RF Engineering I develops RF and microwave engineering as a structured progression from the physical RF artifact to the mathematical and computational representations used to analyze, simulate, measure and ultimately deform that artifact.

The volume begins from a familiar engineering observation: the same RF system may appear as electromagnetic geometry, electric and magnetic fields, complex phasors, transmission-line quantities, ports, scattering parameters, equivalent circuits, numerical solver states and measurement data. These objects may all describe aspects of the same engineering system, but they are not interchangeable.

CRE-RF-I therefore develops a typed representational architecture in which RF quantities retain their physical meaning, reference conditions and transformation contracts as the engineer moves between domains.

The ten chapters establish the sequence:

RF engineering object → complex representation → electromagnetic field fibers → wave transformations → power and impedance → distributed RF systems → typed ports → scattering operators → RF fiber geometry → deformed RF object

Chapters

Chapter 1 — The RF Engineering Object
Introduces the RF artifact as a mixed-representation engineering object and establishes the distinction between the physical system and its mathematical, numerical and measured representations.

Chapter 2 — Complex Representation as the First RF Fiber Geometry
Develops complex numbers, phasors, rotations, impedance/admittance and Möbius transformations as the first explicit RF representation geometry.

Chapter 3 — Electromagnetic Field Fibers
Places Maxwell-field solutions, materials, boundaries, sources and numerical discretization inside a typed electromagnetic representation.

Chapter 4 — Wave Transformations
Develops propagation, forward/backward waves, reference-plane transformations, modes, polarization, cutoff and dispersion.

Chapter 5 — Power and Impedance
Separates complex power, delivered power, impedance, admittance, mismatch, passivity and associated RF engineering metrics.

Chapter 6 — Distributed RF Systems
Develops transmission-line and distributed-system representations through RLGC parameters, propagation constants, characteristic impedance and spatial transport.

Chapter 7 — Ports as Typed Boundary Operators
Treats ports as engineering boundary contractions carrying orientation, mode basis, normalization, reference impedance and reference-plane information.

Chapter 8 — Scattering Operator
Develops S-parameters as typed multiport boundary operators with explicit passivity, losslessness, reciprocity, normalization and interconnection contracts.

Chapter 9 — RF Fiber Geometry
Introduces transport-aware comparison, sections, covariant differences, metrics and path-dependent representation changes.

Chapter 10 — The Deformed RF Object
Integrates the preceding framework into a deformation-aware RF engineering object incorporating sensitivities, uncertainty, admissibility, robustness, closure and recoverability interfaces.

Why CRE-RF-I is different

CRE-RF-I does not replace Maxwell equations, transmission-line theory, microwave network theory or conventional S-parameter engineering. Instead, it connects these established theories through an explicit representational framework designed to prevent common ambiguities between:

representation and physical state

coordinate transformation and physical deformation

nominal equivalence and deformation equivalence

engineering admissibility and representational closure

This structure provides the mathematical RF foundation for later deformation dynamics, robustness, stochastic evolution, array/radar inference and graph-native engineering execution.

Relationship to EDFS 2026 R1

CRE-RF-I provides the canonical RF mathematical foundation underlying portions of the RF engineering layer of Electronics Design Flow Studio — EDFS 2026 R1.

EDFS operationalizes selected CRE-RF representations, network objects, deformation operators and engineering evidence contracts inside a graph-native execution environment.

The textbook remains the theory and training reference; EDFS is the corresponding execution environment.

Graduate course and webinars

CRE-RF-I is accompanied by the Cognitave graduate RF engineering course covering Chapters 1–10 with chapter-by-chapter technical lecture decks.

Course:
cognitave.com/cognee-cre-rf(recommended new landing page)

Purchase and Download

Digital publication — PDF download For individual academic, engineering and professional study.

Technical inquiries:
tex@cognitave.com

Enterprise, institutional and engineering-program engagements may include:

• extended usage rights

• instructor/training packages

• integration with EDFS engineering workflows

• workshops and webinars

• technical onboarding

• certification pathways

Pricing for institutional engagements is determined by scope and intended application.

Finance EDDA: Inference Evolution and Event-State Dynamics presents the current core mathematical architecture of Finance EDDA, an event-driven inference framework developed within the MXD–COGN and EDFS research program.

The publication treats financial markets as evolving mixed-domain systems in which observed price is only one projection of a larger state. Realized fundamentals, consensus expectations, forward guidance, macroeconomic and geopolitical regime, positioning and liquidity, market acceptance, event memory, and scenario probability are represented as distinct but interacting state components.

A central contribution is the separation of fundamental improvement from market-price inference. The framework introduces explicit expectation-divergence and market-acceptance mechanisms so that favorable company results do not mechanically imply favorable price evolution.

The volume develops continuous evolution, discrete event jumps, regime-conditioned scenario updating, mixed-depth state decomposition, memory transport, and the separation between Finance EDDA inference and Trader-Centered Inference decision support.

MRNA, SPCX, and NIO are used as contrasting demonstrations of scientific-event amplification, repeated-event absorption, expectation divergence, and model-calibration error.

This publication is intended as the principal theoretical reference for the Finance EDDA Research Series. Implementation-specific calibration parameters, production algorithms, EDFS backend source code, and proprietary graph construction remain outside the publication.

Finance EDDA Case Study 002 examines SPCX through a sequence of market events in which apparently similar catalysts do not produce equivalent price responses.

Share-unlock events provide a particularly useful experimental setting. A mechanical increase in potentially tradable supply can be identified in advance, yet its market effect depends on existing positioning, prior price evolution, demand, liquidity, event memory, macro regime, and the degree to which the event has already entered expectations.

The study uses this setting to demonstrate a central Finance EDDA proposition:

event labels are not event dynamics.

The same nominal event can enter two different system states and generate substantially different trajectories.

The case also illustrates how external inference fibers can couple geopolitical, energy, inflation, interest-rate, and growth-equity conditions into an otherwise company-specific event sequence.