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Global Optimization: Scientific and Engineering Case Studies (Nonconvex Optimization and Its Applications) download ebook

by János D. Pintér

Global Optimization: Scientific and Engineering Case Studies (Nonconvex Optimization and Its Applications) download ebook
ISBN:
1441940235
ISBN13:
978-1441940230
Author:
János D. Pintér
Publisher:
Springer; Softcover reprint of hardcover 1st ed. 2006 edition (November 24, 2010)
Language:
Pages:
546 pages
ePUB:
1893 kb
Fb2:
1232 kb
Other formats:
txt lrf docx mobi
Category:
Mathematics
Subcategory:
Rating:
4.5

Nonconvex Optimization and Its Applications. Scientific and Engineering Case Studies.

Nonconvex Optimization and Its Applications. Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of global optimization (GO) is to find the best possible solution of multiextremal problems. Global Optimization: Selected Case Studies illustrates the applicability of GO modeling techniques and solution strategies to real-world problems.

The objective of global optimization (GO) is to find the best possible . A global optimization strategy and its use in solvent design.

The objective of global optimization (GO) is to find the best possible solution of multiextremal problems. This volume illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. in neural nets, mechanical engineering design, numerical solution of equations, radiotherapy planning, robot design, and satellite data analysis. The solution strategies discussed encompass a range of practically viable methods, including both theoretically rigorous and heuristic approaches.

Case study: Optimization of production processes. January 2019 · MATEC Web of Conferences. This article presents an alternative approach to the economical assessment and optimization of radial power distribution feeders with concentrated and/or distributed loading.

Электронная книга "Global Optimization: Scientific and Engineering Case Studies", János D. Pintér

Электронная книга "Global Optimization: Scientific and Engineering Case Studies", János D. Pintér. Эту книгу можно прочитать в Google Play Книгах на компьютере, а также на устройствах Android и iOS. Выделяйте текст, добавляйте закладки и делайте заметки, скачав книгу "Global Optimization: Scientific and Engineering Case Studies" для чтения в офлайн-режиме.

Optimization models based on a nonlinear systems description often possess multiple local optima. Coverage extends to a broad range of applications, from agroecosystem management to robot design. Proposed solutions encompass a range of practical and viable methods.

Optimization models based on a nonlinear systems description often possess multiple local optima. Series: Nonconvex Optimization and Its Applications. Categories: Technique. File: PDF, 2. 2 MB. Читать онлайн.

book can be recommended to each reader who needs a far-reaching survey of continuous and Lipschitz optimization. Series: Nonconvex Optimization and Its Applications (Book 6). The book is distinguished by its vivid and informative style, the large number of areas that are touched, the lack of longwinded and overly sophisticated expositions, and the optimum balance between theory and practical applications.

Global Optimization: Selected Case Studies illustrates the applicability of GO. .

Global Optimization: Selected Case Studies illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. Download from free file storage.

Non-linear Optimization Models in Water Resource Systems (S. Liberatore . Описание: This book examines problems in science and engineering, describing key numerical methods applied to real life. Liberatore, G. M. Sechi and P. Zuddas)11. Solving the Phase Unwrapping Problem by a Parameterized Network Optimization Approach (P. Maponi and F. Zirilli)12. Evolutionary Algorithms for Global Optimization (A. Osyczka and S. Krenich)13. A Case Study: Composite Structure Design Optimization (Z. B. Zabinsky, M. E. Tuttle and C. Khompatraporn)22.

In science, engineering and economics, decision problems are frequently modelled by optimizing the value of a (primary) objective function under stated feasibility constraints. A unified approach to numerous known algorithms makes possible straightforward generalizations and extensions, leading to efficient computer-based implementations. A considerable part of the book is devoted to applications, including some generic problems from numerical analysis, and several case studies in environmental systems analysis and management.

Optimization models based on a nonlinear systems description often possess multiple local optima. The objective of Global Optimization (GO) is to find the best possible solution of multiextremal problems. This volume illustrates the applicability of GO modeling techniques and solution strategies to real-world problems. Coverage extends to a broad range of applications, from agroecosystem management to robot design. Proposed solutions encompass a range of practical and viable methods.