Advances on Mathematical Modeling and Optimization with Its Applications

Explore the cutting-edge of mathematical modeling with Advances on Mathematical Modeling and Optimization with Its Applications, authored by experts in the field and published by Taylor & Francis Ltd in 2024. This comprehensive hardback edition spans 262 pages and delves into the intricate world of machine learning models and their optimization techniques.

This book covers a variety of essential topics, including linear integer programming, network design challenges, mixed integer problems, and both constrained and unconstrained optimization. Additionally, it addresses constrained integer programming and gradient-based nonlinear optimization, making it an invaluable resource for researchers and practitioners alike.

Whether you are a seasoned professional or a student eager to deepen your understanding, this book serves as a vital guide to the latest advancements in mathematical modeling and optimization. Don't miss the opportunity to enhance your knowledge in this dynamic field!