Optimization

This book comprehensively discusses nature-inspired algorithms, deep learning methods, applications of mathematical programming, and artificial int...

This work gives a coherent introduction to isoperimetric inequalities in Riemannian manifolds, featuring many of the results obtained during the la...

Due to increasing industry 4.0 practices, massive industrial process data is now available for researchers for modelling and optimization. Artifici...

This book presents fundamental concepts of optimization problems and its real-world applications in various fields. The core concepts of optimizati...

A comprehensive study of the connection game genre, Connection Games provides a survey of known connection games while exploring common themes and ...

Control Systems Benchmarks helps control engineers, researchers, and students to evaluate and compare control system performance across a range of ...

This book provides a rigorous introduction to the theory, computation, and applications of variational inequalities (VIs), with a focus on applicat...

This textbook is addressed to PhD or senior undergraduate students in mathematics, with interests in analysis, calculus of variations, probability ...

This proceedings book contains selected papers from the Fourth International Workshop on Best-Worst Method (BWM2023), held in Delft, the Netherland...

This book introduces solutions for sports scheduling problems in a variety of settings. In particular the book covers timetabling, the traveling to...

An Integrated Approach to Modeling and Optimization in Engineering and Science examines the effects of experimental design, mathematical modeling, ...

Unlimited Players provides writing center scholars with new approaches to engaging with multimodality in the writing center through the lenses of g...

The Traveling Salesman Problem (TSP) is a central topic in discrete mathematics and theoretical computer science. It has been one of the driving fo...

This book focuses on the design and application of advanced trajectory optimization and guidance and control (G&C) techniques for aerospace veh...

This proceedings volume, the sixth in a series from the Combinatorial and Additive Number Theory (CANT) conferences, is based on talks from the 20t...

This volume includes chapters on topics presented at the conference on Recent Trends in Convex Optimization: Theory, Algorithms and Applications (R...

This book is an introductory graduate-level text on game theory that grew out of courses in mathematics and economics and operations research. Game...

This book comprises peer-reviewed papers presented at the 4th International Conference on Advanced Engineering Optimization Through Intelligent Tec...

The aim of the textbook is two-fold: first to serve as an introductory graduate course in Algebraic Topology and then to provide an application-ori...

This book explores the dynamic interplay between fractals and graph theory, two powerful mathematical tools with vast applications. It presents a s...

Intermediate Poker Mathematics provides a fascinating collection of mathematical questions set in the diverse world of poker. While it is absolutel...

Intermediate Poker Mathematics provides a fascinating collection of mathematical questions set in the diverse world of poker. While it is absolutel...

Principles of Behavioral Economics, written by an acknowledged leader in the field, provides a comprehensive introduction to one of the most exciti...

Principles of Behavioral Economics, written by an acknowledged leader in the field, provides a comprehensive introduction to one of the most exciti...

This book of Springer Nature is another proof of Springers outstanding and greatness on the lively interface of Smart Computational Optimization, G...

Game Theory: A Modeling Approach quickly moves readers through the fundamental ideas of the subject to enable them to engage in creative modeling p...

Due to its huge success in industry, mechanism design has been one of the central research topics at the interface of economics and computer scienc...

In recent years, non-linear optimization has had a crucial role in the development of modern techniques at the interface of machine learning and im...

Quantal Response Equilibrium presents a stochastic theory of games that unites probabilistic choice models developed in psychology and statistics w...

and #60;i and #62;Optimization Algorithms - Classics and Last Advances and #60;/i and #62; is devoted to developing algorithm theory and exploring ...