Mathematical Analysis, Optimization, Control and Inverse Problems

This book offers a comprehensive exploration of contemporary mathematical research and its practical applications. It brings together cutting-edge contributions from leading experts in fields such as mathematical analysis, optimization, control theory, and inverse problems, providing both theoretical insights and real-world applications.

Readers will encounter a diverse array of topics, including synthesis control of heating processes, optimization techniques for parabolic equations, and innovative approaches to classical mathematical results. The volume also delves into advanced concepts like $sigmapsi$-quadratic $k$-tuples, trace class determinant inequalities, and quantum-deformed zeta functions. With chapters dedicated to the control of nonlinear dynamical systems, kernel-adaptive learning, and fuzzy cognitive networks, this book is a treasure trove of knowledge for those interested in the intersection of mathematics and applied sciences.

Ideal for researchers, scholars, and practitioners in mathematics and engineering, this volume serves as an invaluable resource for anyone seeking to deepen their understanding of modern mathematical challenges and solutions. Whether you're a seasoned mathematician or a curious learner, this book invites you to explore the dynamic landscape of mathematical innovation.