Mathematics
Mathematics
Differential Equations for Engineering Systems is a research-grade digital textbook developed for electrical and computer engineers who require a system-oriented and mathematically rigorous approach to ordinary differential equations.
Rather than treating differential equations as isolated solution techniques, this book presents them as models of physical, electrical, and computational systems, emphasizing structure, interpretation, and transform-based reasoning.
The text is designed to bridge foundational theory with engineering application, supporting both advanced coursework and independent professional study.
What This Book Focuses On
This book emphasizes the role of differential equations as the mathematical backbone of:
dynamic system modeling
signal and system behavior
electrical and mechanical system response
stability and transient analysis
The treatment prioritizes clarity of formulation, correctness of interpretation, and efficiency of solution, particularly in contexts relevant to ECE.
Core Topics Covered
The material develops a coherent progression through:
first- and higher-order ordinary differential equations
linear systems with constant coefficients
homogeneous and non-homogeneous equations
impulse, step, and exponential inputs
Laplace-transform-based solution methods
initial-value problems and system response
engineering interpretation of solutions
Worked examples are fully developed, and problem sets are aligned with advanced engineering expectations.
Key Features
System-driven approach to differential equations
Transform methods integrated naturally into solution workflows
Emphasis on physical and engineering interpretation
Fully worked examples and solved problem sets
Consistent notation and mathematical typography
Designed for advanced undergraduate and graduate ECE
Format
Digital textbook (PDF)
High-resolution mathematical typesetting
Optimized for screen reading and printing
Pricing
Digital Edition (PDF):
💲 $11.99 USD
Academic and institutional licensing available upon request.
Intended Audience
Electrical and computer engineering students
Graduate-level engineering candidates
Practicing engineers working with dynamic systems
Researchers seeking a compact, rigorous ODE reference
About the Author
Mahdi Haghzadeh, PhD, is an engineer and researcher at Maxdi Research, working on mathematical systems theory, signal analysis, and advanced computational methods for engineering and physics.
Advanced Engineering Mathematics is a comprehensive, research-grade textbook developed for electrical and computer engineers who require a unified and operational understanding of mathematics.
The book emphasizes transform methods, complex analysis, and system theory as they are actually used in engineering practice—bridging coursework, research, and competitive examinations.
This is not a formula collection. It is a coherent mathematical system designed for engineers who work with signals, systems, and dynamic models.
What This Book Is For
Senior undergraduate and graduate ECE students
Engineers working in signal processing, control, and systems
Candidates preparing for advanced engineering entrance or qualification exams
Researchers seeking a compact but rigorous mathematical reference
Key Features
Unified coverage of Fourier, Laplace, and complex analysis methods
System-level interpretation of mathematical tools
Fully worked examples and exam-style problems with solutions
Consistent notation and typography, enforced by a custom LaTeX class
One-page A4 exam formula sheet for rapid review
MATLAB/Octave code appendix for computational reinforcement
Contents Overview
Fourier Series and Spectral Representation
Fourier Transform and LTI Systems
Laplace Transform and Differential Equation Solving
Convolution, Stability, and System Response
Complex Analysis and Residue Methods
Real Integrals and Conformal Mapping
Mixed Advanced Problems and Exam Strategies
Format
Digital textbook (PDF)
High-resolution mathematical typesetting
Optimized for screen and print
Licensing & Use
This product is licensed for individual academic and professional use.
For institutional licensing or course adoption, please contact Maxdi Research.
About the Author
Mahdi Haghzadeh, PhD, is a researcher and engineer working at the intersection of mathematics, systems theory, and advanced computation. His work spans engineering mathematics, signal analysis, and quantum analog computing.
Access to Modern Technology and Engineering Tools at Cognitave Inc’s Electronics Store
Services
Access to Modern Technology and Engineering Tools at Cognitave Inc’s Electronics Store Services
Advanced Engineering Mathematics is a comprehensive, research-grade textbook developed for electrical and computer engineers who require a unified and operational understanding of mathematics.
The book emphasizes transform methods, complex analysis, and system theory as they are actually used in engineering practice—bridging coursework, research, and competitive examinations.
This is not a formula collection. It is a coherent mathematical system designed for engineers who work with signals, systems, and dynamic models.
What This Book Is For
Senior undergraduate and graduate ECE students
Engineers working in signal processing, control, and systems
Candidates preparing for advanced engineering entrance or qualification exams
Researchers seeking a compact but rigorous mathematical reference
Key Features
Unified coverage of Fourier, Laplace, and complex analysis methods
System-level interpretation of mathematical tools
Fully worked examples and exam-style problems with solutions
Consistent notation and typography, enforced by a custom LaTeX class
One-page A4 exam formula sheet for rapid review
MATLAB/Octave code appendix for computational reinforcement
Contents Overview
Fourier Series and Spectral Representation
Fourier Transform and LTI Systems
Laplace Transform and Differential Equation Solving
Convolution, Stability, and System Response
Complex Analysis and Residue Methods
Real Integrals and Conformal Mapping
Mixed Advanced Problems and Exam Strategies
Format
Digital textbook (PDF)
High-resolution mathematical typesetting
Optimized for screen and print
Licensing & Use
This product is licensed for individual academic and professional use.
For institutional licensing or course adoption, please contact Maxdi Research.
About the Author
Mahdi Haghzadeh, PhD, is a researcher and engineer working at the intersection of mathematics, systems theory, and advanced computation. His work spans engineering mathematics, signal analysis, and quantum analog computing.
OGN-MXD₁ (Venezuela) is an institutional coherence-engineering assessment produced by applying the MXD-COGN analytical engine to the Venezuela URC. The report compiles Venezuela-specific modules on sanctions dynamics, oil-sector control and interdiction (including tanker seizure patterns), external–internal coupling signals, elite coherence/fragmentation stressors, civilian welfare implications, and stability/escalation pathway families. A Phase II extension integrates local game-theoretic primitives (commitments, signaling, equilibrium families) into the MXD-COGN interface-first workflow. This publication is strictly analytical and non-prescriptive: it does not advocate political action or policy outcomes, and is designed for strategic research, institutional monitoring, and scenario conditioning under contested information.
What’s inside (bullets):
Venezuela module pack: sanctions, oil interdiction, coupling signals, elite coherence, welfare, pathways
Phase II: game-theoretic overlay integrated with MXD-COGN interfaces
Institutional watchlist: high-signal indicators for update cycles
Glossary: players, symbols, interface brittleness κ, and product architecture
Format: PDF (institutional master)
Publisher: Maxdi Global Strategic Stability Studies Group (MGSSSG)
Series: COGN-MXD products (MXD-COGN engine outputs)
This Institutional Master Package is a comprehensive, non-prescriptive analytical dossier examining the January 2026 crisis in the Islamic Republic of Iran through the Mixed-Domain, Mixed-Depth Coherence Engineering (MXD-COGN) framework.
The package integrates internal dynamics (protests, coercion, information control, elite cohesion, economic throughput) with external pressures (sanctions, tariffs, diplomatic isolation, and regional signaling) to assess systemic stability, brittleness, and escalation risk over short- and medium-term horizons.
Unlike conventional policy briefs or forecasting reports, this work does not advocate actions or outcomes. It provides a formal structural diagnosis of regime behavior under stress, identifying regime basins of attraction, interface-level failure points, and conditions under which discontinuity becomes plausible.
Version v1.1 incorporates a major expansion with the addition of Part IV, substantially deepening the historical–structural dimension of the analysis.
What’s Included
Part I — Core Institutional Assessment
A full MXD-COGN coherence analysis of Iran’s January 2026 crisis, including:
Protest dynamics under near-total information blackout
Coercive capacity and execution coherence
Economic throughput stress and bazaar-level indicators
Elite cohesion and patronage stability
External pressure and tariff-driven uncertainty
3–6–12 month trajectory projections
Formal brittleness (κ) metrics and regime basin classification
Part II — Game-Theoretic Addendum (v1.1)
A formal strategic layer complementing MXD-COGN, modeling:
Deterrence–retaliation dynamics (U.S., Israel, Iran, regional actors)
Elite–security coordination games under existential stress
Signaling, belief formation, and commitment rigidity
Escalation equilibria and de-escalation feasibility
Part III — Best-Case Diplomatic Off-Ramp Annex
A harm-minimization–oriented analytical annex outlining:
Verification-based de-escalation sequencing
Conditional, reversible sanctions relief architecture
Amnesty and safe-exit logic to prevent fight-or-fracture equilibria
Institutional pathways for domestic political legitimacy
(Analytical, non-operational, non-prescriptive)
Part IV — Sanctions, Geography, Ideology, and Coherence Decay in Iran
(New in v1.1)
A standalone, long-form historical–structural assessment analyzing why sanctions and isolation have devastated civilian welfare without producing regime collapse. This section integrates:
Four decades of sanctions and boycotts as iterated external deformations
Civilian deprivation and food insecurity as emergent systemic outcomes
IRGC economic capture under scarcity and sanctions evasion
Ideological framing of deprivation (“resistance economy”) and its long-term costs
Geography, invasion memory, and siege psychology as structural constraints
Water scarcity, drought, and groundwater depletion as latent instability accelerators
The Zibakalam thesis on internal causality and institutional failure
Part IV situates Iran’s crisis within a coherence-decay regime, where elite and coercive stability is preserved at the expense of societal welfare and adaptive capacity.
Methodological Distinction
The MXD-COGN framework treats geopolitical crises as emergent properties of interacting subsystems, rather than linear cause-effect chains. This allows the analysis to:
Remain robust under censorship and limited observability
Avoid street-size or sentiment-only forecasting
Focus on interface-level brittleness where small perturbations can produce regime shifts
Distinguish apparent stability from structural fragility
Who This Is For
Government and diplomatic analysts
Think tanks and multilateral institutions
Academic researchers (political economy, sanctions, security studies)
Journalists covering Iran and regional escalation risk
Risk analysts and strategic planners
Important Notice
This document is an analytical research artifact.
It does not:
Advocate political positions
Recommend intervention or policy
Provide operational or tactical guidance
Redistribution is restricted. Interpretation should preserve the document’s analytical and non-prescriptive intent
Quantum Theory Fundamentals presents a modern, coherence-engineering interpretation of quantum mechanics grounded in the MXD-COGN mixed-domain inference framework. Rather than treating quantum theory as a collection of abstract postulates, this eBook develops it as a structured inference system governed by coherence, deformation, and control constraints.
The book introduces foundational quantum concepts through the lens of MXD-COGN, unifying state evolution, measurement, interference, and reversibility within a single inference-theoretic geometry. It emphasizes operational meaning, mathematical clarity, and predictive structure, making it suitable for researchers, advanced students, and engineers working at the intersection of quantum information, control theory, and complex systems.
This volume is part of the Maxdi Research eBook series and reflects independent theoretical research conducted by Maxdi Inc.
This paper introduces \textbf{Noetic Field Dynamics (NFD)}, a novel theoretical framework that unifies consciousness studies, quantum mechanics, and performance optimization. NFD posits that consciousness operates as a fundamental field (the Noetic Field) from which cognitive excitations emerge as wave-like solutions. The theory integrates three established paradigms: Csikszentmihalyi's flow psychology, Jung's synchronicity principle, and Nelson-Isaacs' quantum resonance model. We demonstrate how NFD explains peak performance phenomena across artistic, musical, and athletic domains through mathematical formalism of coherence optimization. The framework offers testable predictions for enhancing human potential while providing a unified explanation for subjective experiences of flow, synchronicity, and optimal performance. Cross-domain applications are presented with mathematical formulations, empirical predictions, and practical implications for performance enhancement.
Recent quantum information experiments demonstrate universal protocols capable of reversing, pausing, or accelerating the evolution of isolated quantum systems. These results are frequently described as ``quantum time reversal.'' In this paper, we present a rigorous reinterpretation using the MXD--COGN mixed-domain, mixed-depth coherence engineering framework. We show that quantum rewinding corresponds to restoration of inference-loop closure under deformation rather than reversal of physical time. We introduce a global coherence order parameter $\Phi$, provide an operational estimator $\widehat{\Phi}$ from experimentally accessible observables, and derive falsifiable predictions regarding metastability, critical collapse, and scaling limits. We complement the theory with illustrative simulations of $\Phi(\lambda)$ showing metastable basins and cliff-like transitions near a critical threshold $\Phi_c$. The framework provides audit-ready metrics for quantum time-control experiments and suggests practical diagnostics for quantum technologies.
eBook Textbook - MXD-COGN: A Theory of Mixed-Domain, Mixed-Depth Cognition
39.99 USD DIGITAL DOWNLOAD MXD-COGN
Maxdi Inc.
ORCID: https://orcid.org/0000-0002-5438-8923
Mahdi Haghzadeh, PhD
Research Division
Cognitave Inc
tex@cognitave.com
Keywords: Quantum Computing, Simulations and Modeling, Integrated Systems, Analysis and Applied Mathematics, MXD-COGN, mixed-domain cognition, mixed-depth cognition, deformed-control inference, order parameter, coherence functional, inferential closure, non-commutativity, inference operator, operator norm, commutator, closure error, EDFS, Emergent Deformed Field Structure, Emergent Deformed Field Structure, gradient, curvature, phase transition,.
Abstract
Complex systems fail in ways that are neither random nor well explained by existing theories of control, learning, or cognition. Advanced artificial systems, large organizations, and socio-technical infrastructures often exhibit prolonged periods of apparent stability followed by abrupt, irreversible collapse. These failures are typically attributed post hoc to insufficient data, incorrect objectives, or implementation errors. Such explanations are incomplete. This textbook introduces a fundamentally new theoretical framework—MXD-COGN—that explains these phenomena as structural consequences of cognition and control operating across mismatched domains. The central claim of this work is that instability, misalignment, and catastrophic failure are not anomalies of intelligent systems but predictable outcomes of mixed-domain, mixed-depth inference. When inference operators do not commute, when representations are heterogeneous, and when control is mediated through layered abstractions, classical assumptions of global state consistency break down. Failure, in this setting, takes the form of a phase transition rather than gradual degradation.
MXD-COGN (Mixed-Domain Cognition) provides: an algebraic formalism for non-commuting inference operators, a macroscopic coherence order parameter governing control, a geometric field structure encoding stability and irreversibility, and a phase-theoretic account of failure, alignment, and safety.
MXD-Cogn does not promise perfect control. It explains when control is possible—and when it is not.
Copyright Notice © 2026 Maxdi Inc.. All rights reserved. No part of this publication may be reproduced, stored, or transmitted in any form or by any means without prior written permission of the copyright holder.
eBooklet - Radar for Advanced Vehicular Systems - RAVS
14.99 USD DIGITAL DOWNLOAD RAVS
a Booklet download entitle above (RAVS) in "*.pdf" format is available to download upon purchase of a token that will be sent to you e-mail inbox.
#RadarSignalProcessing #RSP #RADAR #LIDAR #Automotive #ADAS #OEM #TIER1 #SensorFusion
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Radar Signal Processing (RSP), FMCW, Tracking, RF/MW Integrated Systems
Abstract
Radar for Advanced Vehicular Systems (RAVS) is a short technical manual on RADAR (Radio Frequency Detection and Ranging) technology used in modern ADAS (Advanced Driver Assistance Systems) and autonomous, driver-less vehicles (cars and drones) under development globally. This manual reviews main Radar sensing techniques and analysis that enable detection and tracking of targets in the front and proximity of a vehicle equipped with this sensor.
An online EE course, Advanced Radar for Autonomous Driving (ARAD), is available for in-depth development of topics and techniques on ADAS, Sensor Fusion, and advanced signal processing algorithms utilizing machine learning and AI.
Access related on-demand EE course at:
eBooklet - Modern Applied Quantum Mechanics - MAQM
44.99 USD DIGITAL DOWNLOAD MAQM
a Booklet download entitle above (MAQM) in "*.pdf" format is available to download upon purchase of a token that will be sent to you e-mail inbox.
#Electronics #QuantumMicroelectronics #QuantumRF #PhotonicCrystals #nanotechnology #photonics #QuantumPhysics #AppliedMathematics
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Quantum Computing, Simulations and Modeling, Integrated Systems, Analysis and Applied Mathematics
Abstract
Modern Applied QM (MAQM) mathematics and numerical tools presented in this technical and business ee course are applied in consumer electronics, warfare defense and aerospace industries to solve design and engineering problems in telecommunications or for environmental threats mitigation and counter measures.
Access related on-demand EE course at:
Technology Report - Microelectronics Design Automation w/ License-based & OpenSource CAD
1.99 USD DIGITAL DOWNLOAD TEX-CAD-EDA
a Technology Report presented by Cognitave Inc Department of Electronics
#EDA #MICROELECTRONICS
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Numerical Computing, Circuit & EM Simulations, RF/MW Integrated Systems
Abstract
This Technological Report presents to microelectronics design engineering professionals in semiconductor and electronics industries latest modern design-workflow tools for simulation, modeling and fabrication.
A complete set of computer-aided micro-electronics design automation (MEDA) tools presented in this technological report that are available open source without paid-for licenses or tokens. The tools are considered industry open-source standards and used across the globe for design, modeling, manufacturing and testing of electronic and computing devices that go into medium to ultra-high complexity systems in consumer electronics, warfare defense and aerospace industries.
Access related on-demand EE course at:
eBooklet - Modern Applied Quantum Mechanics - MAQM
4.99 USD DIGITAL DOWNLOAD MAQM
a Booklet download entitle above (MAQM) in "*.pdf" format is available to download upon purchase of a token that will be sent to you e-mail inbox.
#Electronics #QuantumMicroelectronics #QuantumRF #PhotonicCrystals #nanotechnology #photonics #QuantumPhysics #AppliedMathematics
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Quantum Computing, Simulations and Modeling, Integrated Systems, Analysis and Applied Mathematics
Abstract
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Modern Applied QM (MAQM) mathematics and numerical tools presented in this technical and business ee course are applied in consumer electronics, warfare defense and aerospace industries to solve design and engineering problems in telecommunications or for environmental threats mitigation and counter measures.
Access related on-demand EE course at:
Technology Report - Linear ODEs by DTMM for 3D Numerical Modeling in RF/MW Design and Simulation
4.99 USD DIGITAL DOWNLOAD LODE-DTMM
a Technology Report downloadable entitled (LODE-DTMM) in "*.pdf" format is available to download upon purchase of a token that will be sent to your e-mail inbox.
#NumericalProgramming #SignalProcessing #RadarSystems#Electronics #NumericalSimulations #AppliedMathematics
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Numerical programming, numerical Simulations and Modeling, Integrated Systems, Analysis and Applied Mathematics
Abstract
Linear ODE-DTM special topic presented in Advanced Radar for Autonomous Driving (ARAD) is a technical ee-course in the field of Autonomous Driving and Sensor Fusion of signals and data in-flow from sensing and control modules OEMs deploy in autonomous and semiautonomous systems.
Access this related on-demand EE course here at:
Technology Report - Third Generation Organic and Cost Effective Solar Cells
4.99 USD DIGITAL DOWNLOAD PV-DSSC
a Technology Report downloadable entitled (DSSC-PV) in "*.pdf" format is available to download upon purchase of a token that will be sent to your e-mail inbox.
#SolarCells #Photovoltaic #Silicon #SolidStatePhysics #Electronics #RenewableEnergy #Electricity #Sustainability
Mahdi Haghzadeh, PhD
Electronics Department
Cognitave Inc
Keywords: Solar Cells, Renewable Energy, Solid State Physics, Thin Film, Organic Electronics, Dye Sensitized Solar Cells, Concentrators, Printed Electronics
Abstract
This technology report was first presented at Electrical School of Engineering at Sharif University of Technology on latest technological advancement made in development and fabrication of third generation solar cells, namely Organic Photovoltaic (PV). First generation is inorganic, single junction silicon based solar cells that reach 14—19 percent conversion efficiency for single- and multi-crystal silicon. The payback is 3.5—7 years. Second generation is based on thin film technology that yields 7—11 percent efficiency. The payback is less than a year due to inexpensive development and fabrication costs. The drawback is use of environmentally hazardous material. Third generation is organic thin film technology that can reach up to 30 percent efficiency for multi-junction cells. In this category Dye Sensitized Solar Cells are gaining popularity with a promise to deliver cost effective solar cells.
Applied Quantum Mechanics
by Dr. Sina Khorasan
Sharif University of Technology, Tehran Iran
Language: Farsi
Edits: Dr. Mahdi Haghzadeh
Audio Files | Translation | Mathematics Codes | Matlab Codes
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% COPYRIGHT 20232, Cognitave Inc.
Reserved 2023 All Rights reserved for contained herein by United States of America Laws and Regulations and Internationally. All relevant Copyrights, all proprietary and specially trademarks are reserved and enforced through proper legal routes. Maxdi Inc. Copyright 2023.
⊗∴⊛⊛⊡⊡ ⨥⨠⨻⩒⩒
Micro-Electronics Design Automation using Open-Source, free of charge EDA tools - Part2.
Presented at IEEE BOSTON 2024 by Electronics Department at Cognitave Inc.
Differential Equations for Engineering Systems is a research-grade digital textbook developed for electrical and computer engineers who require a system-oriented and mathematically rigorous approach to ordinary differential equations.
Rather than treating differential equations as isolated solution techniques, this book presents them as models of physical, electrical, and computational systems, emphasizing structure, interpretation, and transform-based reasoning.
The text is designed to bridge foundational theory with engineering application, supporting both advanced coursework and independent professional study.
What This Book Focuses On
This book emphasizes the role of differential equations as the mathematical backbone of:
dynamic system modeling
signal and system behavior
electrical and mechanical system response
stability and transient analysis
The treatment prioritizes clarity of formulation, correctness of interpretation, and efficiency of solution, particularly in contexts relevant to ECE.
Core Topics Covered
The material develops a coherent progression through:
first- and higher-order ordinary differential equations
linear systems with constant coefficients
homogeneous and non-homogeneous equations
impulse, step, and exponential inputs
Laplace-transform-based solution methods
initial-value problems and system response
engineering interpretation of solutions
Worked examples are fully developed, and problem sets are aligned with advanced engineering expectations.
Key Features
System-driven approach to differential equations
Transform methods integrated naturally into solution workflows
Emphasis on physical and engineering interpretation
Fully worked examples and solved problem sets
Consistent notation and mathematical typography
Designed for advanced undergraduate and graduate ECE
Format
Digital textbook (PDF)
High-resolution mathematical typesetting
Optimized for screen reading and printing
Pricing
Digital Edition (PDF):
💲 $11.99 USD
Academic and institutional licensing available upon request.
Intended Audience
Electrical and computer engineering students
Graduate-level engineering candidates
Practicing engineers working with dynamic systems
Researchers seeking a compact, rigorous ODE reference
About the Author
Mahdi Haghzadeh, PhD, is an engineer and researcher at Maxdi Research, working on mathematical systems theory, signal analysis, and advanced computational methods for engineering and physics.