Tous les ebooks de la collection "SpringerBriefs in Optimization" - Springer

44 Livre(s)


Ajouter à ma liste d'envies Derivative-free DIRECT-type Global Optimization Remigijus Paulavicius , Linas Stripinis After providing an in-depth introduction to derivative-free global optimization with various constraints, this book presents new original results from well-known experts on the subject. A primary focus of this book is the well-known class of deterministic DIRECT... Editeur : Springer Parution : 2023-11-27 Collection : SpringerBriefs in Optimization PDF, ePub 47,46 € PDF ePub
Ajouter à ma liste d'envies Optimization in Banach Spaces Alexander J. Zaslavski The book is devoted to the study of constrained minimization problems on closed and convex sets in Banach spaces with a Frechet differentiable objective function. Such problems are well studied in a finite-dimensional space and in an... Editeur : Springer Parution : 2022-09-29 Collection : SpringerBriefs in Optimization PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies The Krasnosel'skii-Mann Iterative Method Collectif This brief explores the Krasnosel'skii-Man (KM) iterative method, which has been extensively employed to find fixed points of nonlinear methods. Editeur : Springer Parution : 2022-02-24 Collection : SpringerBriefs in Optimization PDF, ePub 68,56 € PDF ePub
Ajouter à ma liste d'envies From Approximate Variation to Pointwise Selection Principles Vyacheslav V. Chistyakov The book addresses the minimization of special lower semicontinuous functionals over closed balls in metric spaces, called the approximate variation.The new notion of approximate variation contains more information about the bounded variation functional and has the... Editeur : Springer Parution : 2021-10-22 Collection : SpringerBriefs in Optimization PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies A Derivative-free Two Level Random Search Method for Unconstrained Optimization Neculai Andrei The book is intended for graduate students and researchers in mathematics, computer science, and operational research.The book presents a new derivative-free optimization method/algorithm based on randomly generated trial points in specified domains and where the... Editeur : Springer Parution : 2021-03-31 Collection : SpringerBriefs in Optimization PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Algorithm Portfolios Ilias S. Kotsireas , Panos M. Pardalos , Konstantinos E. Parsopoulos , Dimitris Souravlias This book covers algorithm portfolios, multi-method schemes that harness optimization algorithms into a joint framework to solve optimization problems. It is expected to be a primary reference point for researchers and doctoral students in relevant domains that seek a... Editeur : Springer Parution : 2021-03-24 Collection : SpringerBriefs in Optimization PDF, ePub 68,56 € PDF ePub
Ajouter à ma liste d'envies Bayesian and High-Dimensional Global Optimization Anatoly Zhigljavsky , Antanas Žilinskas Accessible to a variety of readers, this book is of interest to specialists, graduate students and researchers in mathematics, optimization, computer science, operations research, management science, engineering and other applied areas interested in solving optimization... Editeur : Springer Parution : 2021-03-02 Collection : SpringerBriefs in Optimization PDF, ePub 68,56 € PDF ePub
Ajouter à ma liste d'envies Advancing Parametric Optimization Nathan Adelgren The theory presented in this work merges many concepts from mathematical optimization and real algebraic geometry. When unknown or uncertain data in an optimization problem is replaced with parameters, one obtains a multi-parametric optimization problem whose... Editeur : Springer Parution : 2021-01-21 Collection : SpringerBriefs in Optimization PDF, ePub 68,56 € PDF ePub
Ajouter à ma liste d'envies Controller Tuning Optimization Methods for Multi-Constraints and Nonlinear Systems Maude Josée Blondin This book covers controller tuning techniques from conventional to new optimization methods for diverse control engineering applications. Classical controller tuning approaches are presented with real-world challenges faced in control engineering. Current developments... Editeur : Springer Parution : 2021-01-06 Collection : SpringerBriefs in Optimization PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies Statistical Analysis of Graph Structures in Random Variable Networks V. A. Kalyagin , A. P. Koldanov , P. A. Koldanov , P. M. Pardalos This book studies complex systems with elements represented by random variables. Its main goal is to study and compare uncertainty of algorithms of network structure identification with applications to market network analysis. For this, a mathematical model of random... Editeur : Springer Parution : 2020-12-05 Collection : SpringerBriefs in Optimization PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies The Projected Subgradient Algorithm in Convex Optimization Alexander J. Zaslavski This focused monograph presents a study of subgradient algorithms for constrained minimization problems in a Hilbert space. The book is of interest for experts in applications of optimization to engineering and economics. The goal is to obtain a good approximate... Editeur : Springer Parution : 2020-11-25 Collection : SpringerBriefs in Optimization PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Optimal Social Influence Weili Wu , Wen Xu This self-contained book describes social influence from a computational point of view, with a focus on recent and practical applications, models, algorithms and open topics for future research. Researchers, scholars, postgraduates and developers interested in research... Editeur : Springer Parution : 2020-01-29 Collection : SpringerBriefs in Optimization PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Bayesian Optimization and Data Science Francesco Archetti , Antonio Candelieri This volume brings together the main results in the field of Bayesian Optimization (BO), focusing on the last ten years and showing how, on the basic framework, new methods have been specialized to solve emerging problems from machine learning, artificial intelligence,... Editeur : Springer Parution : 2019-09-25 Collection : SpringerBriefs in Optimization PDF, ePub 68,56 € PDF ePub
Ajouter à ma liste d'envies Optimal Control Problems Arising in Forest Management Alexander J. Zaslavski This book is devoted to the study of optimal control problems arising in forest management, an important and fascinating topic in mathematical economics studied by many researchers over the years. The volume studies the forest management problem by analyzing a class of... Editeur : Springer Parution : 2019-08-16 Collection : SpringerBriefs in Optimization PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Mathematical Foundations of Nature-Inspired Algorithms Xing-Shi He , Xin-She Yang This book presents a systematic approach to analyze nature-inspired algorithms. Beginning with an introduction to optimization methods and algorithms, this book moves on to provide a unified framework of mathematical analysis for convergence and stability. Specific... Editeur : Springer Parution : 2019-05-08 Collection : SpringerBriefs in Optimization PDF, ePub 63,29 € PDF ePub
Ajouter à ma liste d'envies The GLOBAL Optimization Algorithm Collectif This book explores the updated version of the GLOBAL algorithm which contains improvements for a local search algorithm and new Java implementations. Efficiency comparisons to earlier versions and on the increased speed achieved by the parallelization, are detailed.... Editeur : Springer Parution : 2018-12-10 Collection : SpringerBriefs in Optimization PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Attraction in Numerical Minimization Adam B. Levy Numerical minimization of an objective function is analyzed in this book to understand solution algorithms for optimization problems. Multiset-mappings are introduced to engineer numerical minimization as a repeated application of an iteration mapping. Ideas from... Editeur : Springer Parution : 2018-12-07 Collection : SpringerBriefs in Optimization PDF, ePub 52,74 € PDF ePub
Ajouter à ma liste d'envies Deterministic Global Optimization Dmitri E. Kvasov , Yaroslav D. Sergeyev This book begins with a concentrated introduction into deterministic global optimization and moves forward to present new original results from the authors who are well known experts in the field. Multiextremal continuous problems that have an unknown structure with... Editeur : Springer Parution : 2017-06-16 Collection : SpringerBriefs in Optimization PDF, ePub 58,01 € PDF ePub
Ajouter à ma liste d'envies Search Techniques in Intelligent Classification Systems Andrey V. Savchenko A unified methodology for categorizing various complex objects is presented in this book. Through probability theory, novel asymptotically minimax criteria suitable for practical applications in imaging and data analysis are examined including the special cases such as... Editeur : Springer Parution : 2016-05-02 Collection : SpringerBriefs in Optimization ePub 52,74 €
Ajouter à ma liste d'envies Intentional Risk Management through Complex Networks Analysis Victor Chapela , Regino Criado , Santiago Moral , Miguel Romance ??This book combines game theory and complex networks to examine intentional technological risk through modeling. As information security risks are in constant evolution, the methodologies and tools to manage them must evolve to an ever-changing environment. A formal... Editeur : Springer Parution : 2015-12-14 Collection : SpringerBriefs in Optimization PDF, ePub 52,74 € PDF ePub
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