Optimization Problems – alle Bücher

Xiucui Guan, Panos M. Pardalos, Binwu Zhang
Inverse Combinatorial Optimization Problems

Preface.- Part I. An Introduction to Inverse Combinatorial Optimization Problems.- An Outline of Inverse Combinatorial Optimization Problems.- Generalized Inverse Bottleneck Optimization Problems.- Genera…

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Rosario Toscano
Solving Optimization Problems with the Heuristic Kalman Algorithm

This text focuses on simple and easy-to-use design strategies for solving complex engineering problems that arise in several fields of engineering design, namely non-convex optimization problems.The main …

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Antonio J. Conejo, Gonzalo E. Constante-Flores
Optimization via Relaxation and Decomposition

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 e…

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Giulio Ferro, Riccardo Minciardi, Luca Parodi, Michela Robba
Optimization of Electric-Vehicle Charging

This book provides models and methods for the optimal management of electrical vehicles through an interdisciplinary approach that brings together knowledge from the sectors of transportation, manufacturi…

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Lagouge K. Tartibu
Multi-objective Optimization Techniques in Engineering Applications

This essential book bridges theory and practice, exploring advanced multi-objective optimization methods applied across engineering fields like manufacturing, renewable energy, and thermal management. Thi…

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Kate O'Neill
What Matters Next

"In an era of disruption and polarization blessed are the bridge builders. Kate O'Neill is one of the best in the business." -STUART CRAINER & DES DEARLOVE, founders of Thinkers50Transform y…

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Ja-Nae Duane, Steve Fisher
Supershifts

Praise for SUPERSHIFTS"Duane and Fisher delve into humanity's struggle with the uncertainty brought by technology's rapid advancement, providing insightful context on how we arrived at this point and…

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Kurt Marti
Stochastic Optimization Methods

This book examines optimization problems that in practice involve random model parameters. It outlines the computation of robust optimal solutions, i.e., optimal solutions that are insensitive to random p…

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Richard Davis, Sam Toan, Weiguo Xie
Chemical Engineering Analysis and Optimization Using MATLAB

Tackle challenging optimization problems with MATLAB^®^ softwareOptimization techniques measure the minimum or maximum value of a given function depending on circumstances, constraints, and key factors. E…

lieferbar in mind. 4 Wochen

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Vladimir Kobelev
Fundamentals of Structural Optimization

This book serves as a complementary resource to the courses "Advanced structural optimization" and "Structural optimization in automotive engineering" taught by the author at the Unive…

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Current Problems of Applied Mathematics and Computer Systems

This book based on the best papers accepted for presentation during the International Conference on Current Problems of Applied Mathematics and Computer Systems (CPAMCS-2024), Russia. This book includes r…

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Huaqing Li, Qingguo Lü, Dawen Xia, Xin Wang
Network-System Research and Distributed Composite Algorithm Design

Computational Intelligence Methods and Applications

With the rapid advancement of sensor technology and digital system, the capabilities of network communication have significantly improved, allowing multiple computing nodes to exchange information and col…

lieferbar ab 11.12.2025.

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Rupert Frank, Ovidiu Savin, Lubos Pick, Jean van Schaftingen
Geometric and Analytic Aspects of Functional Variational Principles

This book is dedicated to exploring optimization problems of geometric-analytic nature, which are fundamental to tackling various unresolved questions in mathematics and physics. These problems revolve ar…

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Bo Lijun
New Models And Methods In Dynamic Portfolio Optimization

This book presents some new models and methods in the context of dynamical portfolio optimization. It encapsulates the authors' recent progress in their research on several interesting, featured issues of…

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Innovations in Computational Logistics and Supply Chain Analytics

Unsupervised and Semi-Supervised Learning

This book discusses advances in computational logistics and supply chain analytics. The book includes innovative data-driven and learning-based approaches, methods, algorithms, techniques, and tools that …

lieferbar ab 13.4.2026.

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Thom Frühwirth
Principles of Rule-Based Programming

The book provides a unified overview of concepts and features of a comprehensive variety of rule-based programming languages. They have applications in diverse areas such as workflow systems, the Semantic…

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Handbook of Artificial Intelligence and Data Sciences for Routing Problems

This handbook delves into the rapidly evolving field of artificial intelligence and optimization, focusing on the intersection of machine learning, combinatorial optimization, and real-world applications …

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Jein-Shan Chen
Complementarity Functions in Optimization

Springer Optimization and Its Applications - Band 228

Complementarity functions lie at the heart of modern optimization, offering a powerful way to reformulate the Karush-Kuhn-Tucker (KKT) conditions and the original optimization problem into more tractable …

lieferbar ab 17.1.2026.

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Mario Köppen, Masato Uchida, Masato Tsuru, W¿odzimierz Ogryczak
Resource-aware Intelligent Communication Systems

This book reflects on the foundations and real-world situations for the special case of resource-aware communication systems. The surge in sensors and communication devices has brought in an explosion of …

lieferbar ab 3.1.2026.

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Zhi Feng, Xiwang Dong, Guoqiang Hu, Jinhu Lyu
Resilient Cooperative Control and Optimization of Multi-Agent Systems

Resilient Cooperative Control and Optimization of Multi-Agent Systems addresses various resilient cooperative control and optimization problems of multi-agent systems that are vulnerable to physical failu…

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