Advances in Mathematics and Scientific Engineering

Optimization Techniques in Modern Engineering

From Classical Methods to Metaheuristic Approaches

A comprehensive reference on classical and modern optimization methods including linear programming, convex optimization, genetic algorithms, swarm intelligence, and gradient-free methods. Chapters address applications in logistics, structural design, energy systems, and machine learning.

Recent Advances in Numerical Methods and Computational Mathematics

Theory, Algorithms, and Applications in Science and Engineering

Editors: Priya Nair, Hans Müller

This edited volume brings together contributions from world-leading researchers on the forefront of numerical analysis and computational mathematics. The book covers finite element methods, spectral methods, iterative solvers, and high-performance computing techniques, with applications spanning fluid dynamics, structural mechanics, and quantum systems.

Mathematical Modeling in Physical Sciences

Proceedings of the International Conference on Applied Mathematics 2022

Editors: Priya Nair, Yuki Tanaka

This conference proceeding captures the most significant contributions presented at ICAM 2022. Topics include partial differential equations, stochastic modeling, fluid mechanics, and mathematical biology. The volume represents cutting-edge interdisciplinary research from over 30 countries.