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

1 Introduction.- 2 Stochastic Optimization Methods.- 3 Heuristic Kalman Algorithm.- 4 Some Notions on System Modeling.- 5 Robust Control of Uncertain Parametric Systems.- 6 Preventive Maintenance.- 7 Mach…

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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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Gonzalo E. Constante-Flores, Antonio J. Conejo
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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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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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 in mind. 4 Wochen

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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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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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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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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 26.1.2026.

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Vyacheslav G. Petukhov, Alexander S. Filatyev
Through Optimization of Aerospace Vehicle Trajectories by the Pontryagin Maximum Principle

This monograph investigates the trajectory optimization problems of low- and finite-thrust aerospace vehicles and spacecraft using an indirect method based on the Pontryagin maximum principle, providing a…

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Andreas Christian Vetter,
Sequential Co-simulation as Method to Couple CFD and Biological Growth in a Yeast Reactor

Coupling of multiphase fluid dynamics and biological growth is a common area of application in process engineering. At the forefront, environmental conditions and rising energy cost force companies to opt…

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Krzysztof Postek, Alessandro Zocca, Joaquim A. S. Gromicho
Hands-On Mathematical Optimization with Python

This practical guide to optimization combines mathematical theory with hands-on coding examples to explore how Python can be used to model problems and obtain the best possible solutions. Presenting a bal…

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Erik Cuevas, Julio Cesar Rosas Caro, Avelina Alejo Reyes, Paulina González Ayala
Optimization in Industrial Engineering

This textbook provides readers with a comprehensive exploration of optimization techniques in industrial engineering, with a specific focus on the Economic Order Quantity (EOQ) problem. It strikes a uniqu…

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Vimal Savsani, Vivek Patel, Ghanshyam Tejani
Truss Optimization

This book provides a comprehensive study of structural design and optimization of different truss structures for size, shape, and topology of structure. It describes truss optimization based on into three…

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