Image 1 of 8
Image 2 of 8
Image 3 of 8
Image 4 of 8
Image 5 of 8
Image 6 of 8
Image 7 of 8
Image 8 of 8
Advanced Engineering Mathematics: Transform Methods, Complex Analysis, and Systems Theory
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.
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.