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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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Hussam Elddin Nabeih Khasawneh
Application of Various Optimization Methods

With the increase in the price of energy carriers and the energy crisis since the beginning of the seventies, as well as the high energy consumption in the industrial sector, energy saving in industries, …

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Alena Vagaská, Anton Panda, Miroslav Gombár
Optimization Methods in Mathematical Modeling of Technological Processes

This book focuses on selected methods of applied mathematics that are aimed at mathematical optimization, with an emphasis on their application in engineering practice. It delves into the current mathemat…

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Model Optimization Methods for Efficient and Edge AI

Comprehensive overview of the fledgling domain of federated learning (FL), explaining emerging FL methods, architectural approaches, enabling frameworks, and applicationsModel Optimization Methods for Eff…

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Alexei A Gaivoronski
Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection, Volume 2

Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection is a thorough exploration of mathematical models and tools that are designed to strengthen critical infrastructures agai…

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Alexei A Gaivoronski, Pavel S Knopov, Vladimir I Norkin, Volodymyr A Zaslavskyi
Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection, Volume 1

Stochastic Modeling and Optimization Methods for Critical Infrastructure Protection is a thorough exploration of mathematical models and tools that are designed to strengthen critical infrastructures agai…

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Welington Luis de Oliveira, Wim Stefanus van Ackooij
Methods of Nonsmooth Optimization in Stochastic Programming

This book presents a comprehensive series of methods in nonsmooth optimization, with a particular focus on their application in stochastic programming and dedicated algorithms for decision-making under un…

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Advances in Optimization Algorithms for Multidisciplinary Engineering Applications: From Classical Methods to AI-Enhanced Solutions

This book is an authoritative compilation of the latest advancements in optimization techniques. This book covers a wide array of methods ranging from classical to metaheuristic to AI-enhanced approaches.…

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Jörg Niemann, Carsten Stöhr, Benedikt Reich
Lean Six Sigma

The Lean Six Sigma Workshop describes important and practically relevant methods and tools for optimizing industrial production structures. In addition to theoretical foundations, the book provides extens…

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Stephan Russenschuck
Field Simulation for Accelerator Magnets

A comprehensive reference to the theory and practice of accelerator-magnet design and measurementParticle accelerators have many fundamental and applied research applications in physics, materials science…

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2 Bücher

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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Andrzej Ruszczy¿ski, Darinka Dentcheva
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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Optimization in Sustainable Energy

This state-of-the-art book offers cutting-edge optimization techniques and practical decision-making frameworks essential for enhancing the efficiency and reliability of sustainable energy systems, making…

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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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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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Math Optimization for Artificial Intelligence

Mathematical Methods in the Digital Age - Band 2

This book explains the importance of AI mathematical optimization. It covers AI optimization's fundamental concepts, methodologies, and practical applications in machine learning, automation, NLP, and rea…

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Erik Cuevas, Julio Cesar Rosas Caro, Alma Rodriguez, 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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Optimization Under Uncertainty in Sustainable Agriculture and Agrifood Industry

This book explores optimization under uncertainty and related applications in agriculture, sustainable supply chains and the agrifood industry. Rapid changes in the primary sector are leading to more and …

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Computational Intelligence Applied to Inverse Problems in Radiative Transfer

This book offers a careful selection of studies in optimization techniques based on artificial intelligence, applied to inverse problems in radiative transfer. In this book, the reader will find an in-dep…

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Critical Information Infrastructures Security

This book constitutes the refereed proceedings of the 18th International Conference on Critical Information Infrastructures Security, CRITIS 2023, held in Helsinki region, Finland, during September 13¿15 …

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