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and #60;i and #62;Chaos Theory – Recent Advances, New Perspectives and Applications and #60;/i and #62; provides a comprehensive overview of chaos theory. It includes five chapters that discuss the history and development of chaos theory, the effectiveness of a chaos auto-associated model based on the Chebyshev-type activation function, neurite morphology, chemical self-replication, and the use of chaotic small particles to create materials with specific refractive index and magnetic permeability.

Matrix Theory - Classics and Advances examines matrix theory and its application in solving a series of problems related to natural phenomena and applied science. It consists of eleven chapters divided into two sections. Section 1, “Theory and Progress”, discusses the classical problems of matrix theory and its contribution to different fields of pure mathematics. Section 2, “Applications”, contains the research related to the application of matrix theory in applied science.

and #60;i and #62;Optimization Algorithms - Classics and Last Advances and #60;/i and #62; is devoted to developing algorithm theory and exploring the use of different optimization algorithms for solving various problems in pure science, applied physics, and information technology. The book consists of two sections. The first focuses on developing abstract algorithms with subsequent applications to real-world optimization problems. It discusses optimization problems based on partial differential equations, canonical polyadic decomposition, variational approach, and ant colony optimization,...