Optimisation – alle Bücher, Seite 4

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

Advances in Industrial Control

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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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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Jose Maria Giron-Sierra
Introduction to Optimization with Matlab® Examples

The textbook provides a comprehensive yet practical look at optimization theory and applications, with examples and MATLAB programs. The author introduces concepts and methods with mathematical formulatio…

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Chintha Tellambura, Diluka Galappaththige
ALM-Based Manifold Optimization for Wireless Beamforming

SpringerBriefs in Applied Sciences and Technology

This book introduces a powerful new approach to solving complex optimization problems in wireless communication: the Augmented Lagrangian Method (ALM)-based Manifold Optimization (MO) framework. Modern wi…

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Modelling, Computation and Optimization in Information Systems and Management Sciences

This 2-volume set of proceedings contains 62 selected full papers presented at the Fifth International Conference on Modeling, Computation and Optimization in Information Systems and Management Science (M…

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Fatma K¿l¿nç-Karzan, Arkadi Nemirovski
Essential Mathematics for Convex Optimization

With an emphasis on timeless essential mathematical background for optimization, this textbook provides a comprehensive and accessible introduction to convex optimization for students in applied mathemati…

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Subhashis Mallick
Computation, Optimization, and Machine Learning in Seismology

AGU Advanced Textbooks

A textbook applying fundamental seismology theories to the latest computational toolsThe goal of computational seismology is to digitally simulate seismic waves, create subsurface models, and match these …

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Yan Gao, Qing He
Urban Railway Alignment Optimization: Theory and Practice

This book falls within the field of urban transportation planning and design, with a particular focus on urban railway alignment optimization. It delves into the background, challenges, and objective func…

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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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Bernd Heidergott, Felisa Vazquez-Abad
Optimization and Learning via Stochastic Gradient Search

Princeton Series in Applied Mathematics

An introduction to gradient-based stochastic optimization that integrates theory and implementationThis book explains gradient-based stochastic optimization, exploiting the methodologies of stochastic app…

lieferbar in mind. 4 Wochen

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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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Mathematical Optimization Theory and Operations Research

Lecture Notes in Computer Science - Band 15681

This book LNCS 15681 constitutes the refereed proceedings of the 24th International Conference on Mathematical Optimization Theory and Operations Research, MOTOR 2025, held in Novosibirsk, Russia, during …

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Optimization, Learning Algorithms and Applications

Communications in Computer and Information Science - Band 2618

The two-volume set CCIS 2617 and 2618 constitutes the refereed post-conference proceedings of the 5th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2025, held in Ses…

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AI for Design and Optimization of Cellular Networks

Vital information on AI, ML, and 5G, and implementing these topics for cellular network design and optimization AI for Design and Optimization of Cellular Networks focuses on the intersection of cellular …

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Sören Jalas
Machine Learning Based Optimization of Laser-Plasma Accelerators

Springer Theses

This book explores the application of machine learning-based methods, particularly Bayesian optimization, within the realm of laser-plasma accelerators. The book involves the implementation of Bayesian op…

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Feng Pan, Qi Gao, Xiao-Xue Feng, Wei-Xing Li
Particle Swarm Optimizer and Multi-Objective Optimization

This book provides a comprehensive overview of the foundational attributes of the Particle Swarm Optimization(PSO) algorithm, including general descriptions, topological structures, evaluation metrics, an…

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Ai-Based Advanced Optimization Techniques for Edge Computing

The book offers cutting-edge insights into AI-driven optimization algorithms and their crucial role in enhancing real-time applications within fog and Edge IoT networks and addresses current challenges an…

lieferbar in mind. 4 Wochen

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Optimization, Learning Algorithms and Applications

Communications in Computer and Information Science - Band 2617

The two-volume set CCIS 2617 and 2618 constitutes the refereed post-conference proceedings of the 5th International Conference on Optimization, Learning Algorithms and Applications, OL2A 2025, held in Ses…

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Charu C. Aggarwal
Linear Algebra and Optimization for Machine Learning

This textbook is the second edition of the linear algebra and optimization book that was published in 2020. The exposition in this edition is greatly simplified as compared to the first edition. The secon…

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