Optimization

This book offers a comprehensive exploration of the dynamic intersection between geometry and optimization.

This proceedings volume convenes revised, selected works presented at the 3rd International Seminar on Computing Technologies and Applied Mathematics (CTAM2024), held at Komsomolsk-na-Amure State University, Russia, from October 7 to 11, 2024.

This book examines the sustainable supply chain of renewable energy networks, combining global perspectives with engineering optimization.

This book gathers a selection of peer-reviewed papers presented at the International Conference on Operations Research (OR 2023), which was held at Universitat Hamburg, Germany, August 29-September 1, 2023.

This book presents three short courses on topics at the intersection of Calculus of Variations, PDEs and Material Science, based on lectures given at the CIME summer school “Variational and PDE Methods in Nonlinear Science”, held in Cetraro (Italy), July 10–14, 2023.

This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning.

This monograph aims to offer a concise introduction to optimal transport, quickly transitioning to its applications in statistics and machine learning.

This book is concerned with optimal control problems of dynamical systems described by partial differential equations (PDEs).

This book delves into the intricate world of fixed point theory, focusing on the Krasnoselskii-Mann method to tackle common fixed point problems within a finite family of quasi-nonexpansive mappings in hyperbolic metric spaces.

This book offers an up-to-date description of relaxation/approximation and decomposition techniques, demonstrating how their combined use efficiently solves large-scale optimization problems relevant to engineering, particularly in electrical, and industrial engineering, with a focus on energy.

This book offers an up-to-date description of relaxation/approximation and decomposition techniques, demonstrating how their combined use efficiently solves large-scale optimization problems relevant to engineering, particularly in electrical, and industrial engineering, with a focus on energy.

This book introduces an optimal iterative learning control (ILC) design framework from the end user's point of view.

This book introduces an optimal iterative learning control (ILC) design framework from the end user's point of view.

This book delves into the intricate world of fixed point theory, focusing on the Krasnoselskii-Mann method to tackle common fixed point problems within a finite family of quasi-nonexpansive mappings in hyperbolic metric spaces.

This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators.

This book introduces a real-time optimization (RTO) method based on the dynamic correlation integration (DCI) theory, which has the performances of modeling-free and self-adaptive model changes in real process.

This book introduces a real-time optimization (RTO) method based on the dynamic correlation integration (DCI) theory, which has the performances of modeling-free and self-adaptive model changes in real process.

This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators.

This contributed volume is dedicated to Academician Gradimir V.

This contributed volume is dedicated to Academician Gradimir V.

This book integrates the fundamentals, methodology, and major application fields of noncooperative and cooperative games including conflict resolution.

This book integrates the fundamentals, methodology, and major application fields of noncooperative and cooperative games including conflict resolution.

At the 15th Viennese Workshop on Optimal Control and Dynamic Games, held in July 2022, experts in economics and the management sciences identified a concerning trend: static decision-making models, while less effective than dynamic ones, are becoming increasingly prevalent.

This book illustrates how strategic thinking and game theory can be applied to study and enjoy theater plays.

This book illustrates how strategic thinking and game theory can be applied to study and enjoy theater plays.

This textbook provides an accessible introduction to spatial competition models in economics.

This textbook provides an accessible introduction to spatial competition models in economics.

This book provides an in-depth exploration of nonsmooth optimization, covering foundational algorithms, theoretical insights, and a wide range of applications.

This volume includes chapters on topics presented at the conference on Recent Trends in Convex Optimization: Theory, Algorithms and Applications (RTCOTAA-2020), held at the Department of Mathematics, Indian Institute of Technology Patna, Bihar, India, from 29-31 October 2020.

This book provides an in-depth exploration of nonsmooth optimization, covering foundational algorithms, theoretical insights, and a wide range of applications.

This book introduces the fundamentals of Coevolutionary Computation and presents new methodologies that are developed and then employed for modern real-world problem-solving in various applications across different domains.

This book introduces the fundamentals of Coevolutionary Computation and presents new methodologies that are developed and then employed for modern real-world problem-solving in various applications across different domains.

This book examines the sustainable supply chain of renewable energy networks, combining global perspectives with engineering optimization.

This book offers a comprehensive exploration of the dynamic intersection between geometry and optimization.

In this book, Vincent F.

This proceedings volume, the sixth in a series from the Combinatorial and Additive Number Theory (CANT) conferences, is based on talks from the 20th and 21st annual workshops, held in New York in 2022 (virtual) and 2023 (hybrid) respectively.

This proceedings volume, the sixth in a series from the Combinatorial and Additive Number Theory (CANT) conferences, is based on talks from the 20th and 21st annual workshops, held in New York in 2022 (virtual) and 2023 (hybrid) respectively.

This book contains accepted papers presented at ICGEC 2024, the 16th International Conference on Genetic and Evolutionary Computing, held from August 28-29, 2024 in Miyazaki, Japan.

This book contains accepted papers presented at ICGEC 2024, the 16th International Conference on Genetic and Evolutionary Computing, held from August 28-29, 2024 in Miyazaki, Japan.

This book delves into the dynamic intersection of data science, data mining, machine learning, and optimization within sports.

This book delves into the dynamic intersection of data science, data mining, machine learning, and optimization within sports.

This book delves into the dynamic intersection of optimization and discrete mathematics, offering a comprehensive exploration of their applications in data sciences.

This book delves into the dynamic intersection of optimization and discrete mathematics, offering a comprehensive exploration of their applications in data sciences.

This textbook introduces variational calculus and regularization methods for inverse problems, seamlessly blending classical concepts with contemporary computational applications, particularly in the field of image processing.

This textbook introduces variational calculus and regularization methods for inverse problems, seamlessly blending classical concepts with contemporary computational applications, particularly in the field of image processing.

The formal optimization handbook is a comprehensive guide that covers a wide range of subjects.

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