Optimization Problems – alle Bücher, Seite 2

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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Metaheuristics for Machine Learning

The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications. The f…

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Stanislaus Maier-Paape, Qiji Jim Zhu, Andreas Platen, Pedro Júdice
Scalar and Vector Risk in the General Framework of Portfolio Theory

This book is the culmination of the authors industry-academic collaboration in the past several years. The investigation is largely motivated by bank balance sheet management problems. The main differenc…

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Optimization and Decision Science: Operations Research, Inclusion and Equity

This volume collects peer-reviewed short papers presented at the Optimization and Decision Science conference (ODS 2022) held in Florence (Italy) from August 30th to September 2nd, 2022, organized by the …

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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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Nama
Numerical Approaches to Optimal Control: Tackling Nonlinear Systems and Constraints

Optimal control has been widely applied to modern control systems design and has drawn great attention for decades. In the optimal control theory, the control problem is formulated as an optimization prob…

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Dan Gabriel Cacuci
The nth-Order Comprehensive Adjoint Sensitivity Analysis Methodology, Volume III

This text describes a comprehensive adjoint sensitivity analysis methodology (C-ASAM), developed by the author, enabling the efficient and exact computation of arbitrarily high-order functional derivative…

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Melinda Hagedorn
Minimization Problems for the Witness Beam in Relativistic Plasma Cavities

This thesis deals with an optimization problem from the field of theoretical plasma physics. Specifically, it deals with the question of how the accelerated electrons are spatially arranged in a plasma wa…

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Jin Song Dong, Seyedali Mirjalili
Multi-Objective Optimization using Artificial Intelligence Techniques

This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential defini…

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Alexander Poznyak, Julio B. Clempner
Optimization and Games for Controllable Markov Chains

This book considers a class of ergodic finite controllable Markov's chains. The main idea behind the method, described in this book, is to develop the original discrete optimization problems (or game mode…

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Proceeding of the 7th International Conference on Logistics Operations Management, GOL'24

This book presents the advances in the concept, model, method, and tools for the global supply chain management. The conference took place in Marrakesh from May 2 to May 4, 2024. The 7th edition of this c…

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Proceeding of the 7th International Conference on Logistics Operations Management, GOL'24

This book presents the advances in the concept, model, method, and tools for the global supply chain management. The conference took place in Marrakesh from May 2 to May 4, 2024. The 7th edition of this c…

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Uncertainty, Constraints, and Decision Making

In the first approximation, decision making is nothing else but an optimization problem: We want to select the best alternative. This description, however, is not fully accurate: it implicitly assumes tha…

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Andreas Öchsner
Mechanics of Classical Sandwich Structures

This book treats the mechanical behavior of one-dimensional sandwich structures, a typicaloncept in the context of lightweight design. Such structures are composed of different constituent (e.g., layers) …

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Stephanie Stahl Michael J Brusco
Linear And Nonlinear Optimization Using Spreadsheets

The use of spreadsheets to obtain solutions to a diverse array of examples offers a reader-friendly way of addressing a topic (optimization) that can sometimes be viewed as intimidating. Many people are r…

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Ari-Pekka Perkkiö, Teemu Pennanen
Convex Stochastic Optimization

This book studies a general class of convex stochastic optimization (CSO) problems that unifies many common problem formulations from operations research, financial mathematics and stochastic optimal cont…

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Nguyen Mau Nam, Boris Mordukhovich
An Easy Path to Convex Analysis and Applications

This book examines the most fundamental parts of convex analysis and its applications to optimization and location problems. Accessible techniques of variational analysis are employed to clarify and simpl…

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New Horizons for Fuzzy Logic, Neural Networks and Metaheuristics

This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new horizons on the theoretical developments of fuzzy logic, neural networ…

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New Directions on Hybrid Intelligent Systems Based on Neural Networks, Fuzzy Logic, and Optimization Algorithms

This book contains a collection of papers focused on hybrid intelligent systems based on soft computing techniques. In this book, new directions on the theoretical developments of fuzzy logic, neural netw…

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Darinka Dentcheva, Andrzej Ruszczy¿ski
Risk-Averse Optimization and Control

This book offers a comprehensive presentation of the theory and methods of risk-averse optimization and control. Problems of this type arise in finance, energy production and distribution, supply chain ma…

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