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 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.
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.
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.
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.
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.
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.