Master the linear algebra skills essential for careers in AI. For postgraduates and advanced students, this text provides novel approaches to matrix theory, introducing concepts like the gradient vector and Hessian matrix used in machine learning, with key examples and exercises.
Modeling of Electromagnetic Exposure in Complex Dielectric Structures
Electromagnetic waves from cell phones and 5G are everywhere. This book explores their biological effects on human health, using cutting-edge simulations to analyze temperature distribution in human tissues and shed light on potential risks. A crucial resource on RF safety.
An Introduction to Hadronic Mechanics, Volume I
This book presents hadronic mechanics, a completion of quantum mechanics for describing nuclear, molecular, and biological structures. It applies this theory for the first-known exact representation of nuclear fusion and the possible recycling of nuclear waste.
Modeling Electromagnetic Exposure in Human Bodies
Electromagnetic waves from cell phones and 5G are everywhere. This book explores their biological effects on human health, using cutting-edge simulations to analyze temperature distribution in human tissues and shed light on potential risks. A crucial resource on RF safety.
This book applies random process theory to physical and biological research. Using risk and storage processes—little used in physics—it explores the first-passage time, introduces a new statistical distribution, and considers the unstudied effects of entropy changes.
Process Optimization Methodologies
This book explores mathematical modelling and machine learning for applications in human health, sustainability, and engineering. It covers AI for diet formulation and diabetes treatment, sustainable corrosion inhibition, and enhanced automobile safety to promote economic growth.
Modern AI tools are powerful but effective “black boxes,” their inner workings rarely understood. This book presents a self-contained methodology to unveil these interactions, using the mathematical properties of neural networks to yield models with explanatory properties.
This book covers the theory and practice of discrete optimization for mathematics and computer science researchers. It presents new theoretical results, models, and algorithmic approaches for problems in integer programming, combinatorial optimization, scheduling, and logistics.
A Journey into Quantum Wavefunction Optimization Algorithm
Enhance predictive accuracy and optimization efficiency under uncertainty. Discover hybrid and quantum-inspired models for forecasting, classification, and optimization, bridging neutrosophic theory and quantum computation to solve complex problems.
The Art of Supposition
What if our reality is shaped by what we suppose? This book introduces a groundbreaking framework, redefining the human experience through the lens of Homo Putans, the “supposing human.” Enter a world where every thought is an invitation to question, explore, and suppose.
Functional analysis studies infinite vector spaces, their topologies, and the operators between them. This book is a collection of notes, expositions, exercises, and lectures on advanced functional analysis, exploring properties such as duality, continuity, and C*-algebras.
Sectoral Structures Theory is a novel, interdisciplinary framework for studying arrangements of circular sectors. This work establishes its foundations in geometric combinatorics, graph theory, and number theory, integrating concepts from algebra, topology, and group theory.
A Journey into Ambiguous Set Theory
An introduction to the concepts of ambiguous set theory. Through concrete examples, the book demonstrates practical applications in decision-making, control systems, and medical imaging. It is designed to be approachable for students, researchers, and enthusiasts alike.
This book develops novel mathematical models to investigate the impacts of GHG emissions on coastal and marine ecosystems. It introduces optimal control strategies to mitigate these impacts, providing new methods for scientists working to maintain a healthy environment.
Rigid Body as a Constrained System
This book presents the dynamics of spinning bodies, the most confusing topic in Classical Mechanics. Starting from the variational problem, it treats the rigid body as a system of particles, creating a simple, transparent approach that eliminates the need for extra postulates.
This book explains basic concepts of mathematical analysis, including functions, numerical sequences, convergence, and limits. It also covers the continuity and differentiability of functions, their applications, and the graphic representation of parametric functions.
An introduction to Graph Theory and Combinatorics and their Applications. Presented in a simple way with examples, it contains a wide variety of applications to real world Science and Engineering problems and includes multiple choice questions for competitive exams.
A Concise Course of Mathematics with Applications
This book covers a vast range of mathematics, from logic, number theory, and algebra to calculus, topology, and geometry. It includes complex analysis, differential equations, and matrices, with applications in the natural and social sciences, from physics to economics.
Based on 60 years of research, this book reveals a powerful message: qualitative data is more informative than quantitative data. Learn how to analyze it quantitatively to extract more information, using simple illustrations of difficult topics that anyone can understand.
Master Elementary Algebra to succeed in mathematics. This book bridges the gap between school and university, helping undergraduates pass mathematical analysis courses. This material has been used to improve the skills of first-year engineering students for a decade.
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