Optimization

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

This contributed volume contains the research results of the Cluster of Excellence "e;Integrative Production Technology for High-Wage Countries"e;, funded by the German Research Society (DFG).

Optimization of Pharmaceutical Processes presents contributions from leading authorities in the fields of optimization and pharmaceutical manufacturing.

This book, which is the first of two volumes, presents, in a unique way, some of the most relevant research tools of modern analysis.

This textbook covers the fundamentals of optimization, including linear, mixed-integer linear, nonlinear, and dynamic optimization techniques, with a clear engineering focus.

This book is addressed to researchers in operations research, data science and artificial intelligence.

This contributed volume combines approaches of the current inequality debate with aspects of finance based on profound macroeconomic model analyses.

Facility location theory develops the idea of locating one or more facilities by optimizing suitable criteria such as minimizing transportation cost, or capturing the largest market share.

This book dives into radio resource allocation optimizations, a research area for wireless communications, in a pragmatic way and not only includes wireless channel conditions but also incorporates the channel in a simple and practical fashion via well-understood equations.

This textbook provides a comprehensive introduction to the classical and modern calculus of variations, serving as a useful reference to advanced undergraduate and graduate students as well as researchers in the field.

This book presents the mathematical theory of vector variational inequalities and their relations with vector optimization problems.

This monograph explores the motion of incompressible fluids by presenting and incorporating various boundary conditions possible for real phenomena.

The first part of this volume gathers the lecture notes of the courses of the "e;XVII Escuela Hispano-Francesa"e;, held in Gijon, Spain, in June 2016.

The research and review papers presented in this volume provide an overview of the main issues, findings, and open questions in cutting-edge research on the fields of modeling, optimization and dynamics and their applications to biology, economics, energy, finance, industry, physics and psychology.

This volume presents the revised papers of the 14th International Conference in Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing, MCQMC 2020, which took place online during August 10-14, 2020.

This book describes applications of Jaya and Rao algorithms on real case studies concerning different renewable energy sources.

This is the third of three volumes providing a comprehensive presentation of the fundamentals of scientific computing.

This volume reflects the 'philosophy of science in practice' approach and takes a fresh look at traditional philosophical problems in the context of natural, social, and health research.

This Springer brief addresses the challenges encountered in the study of  the optimization of time-nonhomogeneous Markov chains.

This text provides a comprehensive and unique introduction to modern microeconomics.

This textbook presents the essential parts of the modern theory of nonlinear partial differential equations, including the calculus of variations.

This book focuses on the vector Allen-Cahn equation, which models coexistence of three or more phases and is related to Plateau complexes - non-orientable objects with a stratified structure.

This volume is addressed to people who are interested in modern mathematical solutions for real life applications.

This contributed volume discusses aspects of nonlinear analysis in which optimization plays an important role, as well as topics which are applied to the study of optimization problems.

The book contains two contributions about the work of Emmanuele DiBenedetto and a selection of original papers.

This book aims to contribute to the discussion about the implications of fuzzy logic, neural networks, digital era, and other intelligent techniques on organizations.

Devoted to the structure of approximate solutions of discrete-time optimal control problems and approximate solutions of dynamic discrete-time two-player zero-sum games, this book presents results on properties of approximate solutions in an interval that is independent lengthwise, for all sufficiently large intervals.

This volume contains 13 selected keynote papers presented at the Fourth International Conference on Numerical Analysis and Optimization.

This book provides a comprehensive overview of the most important and frequently considered optimization problems concerning cutting and packing.

This collection of papers investigates the most recent debates about individualism and holism in the philosophy of social science.

This book explains classic routing and transportation problems and solutions, before offering insights based on successful real-world solutions.

This book gathers papers presented at the 13th International Conference on Mesh Methods for Boundary-Value Problems and Applications, which was held in Kazan, Russia, in October 2020.

This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization problems over the solution sets of common fixed point problems and convex feasibility problems.

This book focuses on the interpretation of ergodic optimal problems as questions of variational dynamics, employing a comparable approach to that of the Aubry-Mather theory for Lagrangian systems.

This book develops a machine-learning framework for predicting economic growth.

This volume provides an introduction to the theory of Mean Field Games, suggested by J.

This volume contains the proceedings of the XII Symposium of Probability and Stochastic Processes which took place at Universidad Autonoma de Yucatan in Merida, Mexico, on November 16-20, 2015.

This edited book provides techniques which address various aspects of big data collection and analysis from social media platforms and beyond.

This book, published in honor of Professor Laurent Praly on the occasion of his 65th birthday, explores the responses of some leading international authorities to new challenges in nonlinear and adaptive control.

The contributions in this volume give an insight into current research activities in Shape Optimization, Homogenization and Optimal Control performed in Africa, Germany and internationally.

This brief introduces overlapping coalition formation games (OCF games), a novel mathematical framework from cooperative game theory that can be used to model, design and analyze cooperative scenarios in future wireless communication networks.

Focusing on applications to science and engineering, this book presents the results of the ITN-FP7 SADCO network's innovative research in optimization and control in the following interconnected topics: optimality conditions in optimal control, dynamic programming approaches to optimal feedback synthesis and reachability analysis, and computational developments in model predictive control.

This textbook provides a comprehensive overview of noncooperative and cooperative dynamic games involving uncertain parameter values, with the stochastic process being described by an event tree.

This book presents an introduction to variational analysis, a field which unifies theories and techniques developed in calculus of variations, optimization, and control, and covers convex analysis, nonsmooth analysis, and set-valued analysis.

This book constitutes the refereed proceedings of the Third International Meeting on Innovation for Systems Information and Decision, INSID 2021, which was held during December 1-3, 2021.

The focus of these conference proceedings is on research, development, and applications in the fields of numerical geometry, scientific computing and numerical simulation, particularly in mesh generation and related problems.

This monograph explores the analysis and design of model-free optimal control systems based on reinforcement learning (RL) theory, presenting new methods that overcome recent challenges faced by RL.

This volume gathers contributions in the field of partial differential equations, with a focus on mathematical models in phase transitions, complex fluids and thermomechanics.

This book constitutes the refereed proceedings of the 22nd International Conference on Group Decision and Negotiation, GDN 2022, which was held virtually during June 12-16, 2022.

This book presents a survey of the aspects of economic complexity, with a focus on foundational, interdisciplinary ideas.