Nonlinear Optimization

This book PDF is perfect for those who love Mathematics genre, written by Francisco J. Aragón and published by Springer which was released on 27 February 2019 with total hardcover pages 350. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Nonlinear Optimization books below.

Nonlinear Optimization
Nonlinear Optimization
Author : Francisco J. Aragón
File Size : 52,7 Mb
Publisher : Springer
Language : English
Release Date : 27 February 2019
ISBN : 9783030111847
Pages : 350 pages
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Nonlinear Optimization by Francisco J. Aragón Book PDF Summary

This textbook on nonlinear optimization focuses on model building, real world problems, and applications of optimization models to natural and social sciences. Organized into two parts, this book may be used as a primary text for courses on convex optimization and non-convex optimization. Definitions, proofs, and numerical methods are well illustrated and all chapters contain compelling exercises. The exercises emphasize fundamental theoretical results on optimality and duality theorems, numerical methods with or without constraints, and derivative-free optimization. Selected solutions are given. Applications to theoretical results and numerical methods are highlighted to help students comprehend methods and techniques.

Nonlinear Optimization

Nonlinear Optimization by Francisco J. Aragón,Miguel A. Goberna,Marco A. López,Margarita M.L. Rodríguez

This textbook on nonlinear optimization focuses on model building, real world problems, and applications of optimization models to natural and social sciences. Organized into two parts, this book may be used as a primary text for courses on convex optimization and non-convex optimization. Definitions, proofs, and numerical methods are well

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Introduction to Nonlinear Optimization

Introduction to Nonlinear Optimization by Amir Beck

This book provides the foundations of the theory of nonlinear optimization as well as some related algorithms and presents a variety of applications from diverse areas of applied sciences. The author combines three pillars of optimization?theoretical and algorithmic foundation, familiarity with various applications, and the ability to apply the

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Nonlinear Optimization

Nonlinear Optimization by Andrzej Ruszczynski

Optimization is one of the most important areas of modern applied mathematics, with applications in fields from engineering and economics to finance, statistics, management science, and medicine. While many books have addressed its various aspects, Nonlinear Optimization is the first comprehensive treatment that will allow graduate students and researchers to

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Nonlinear Optimization

Nonlinear Optimization by H. A. Eiselt,Carl-Louis Sandblom

This book provides a comprehensive introduction to nonlinear programming, featuring a broad range of applications and solution methods in the field of continuous optimization. It begins with a summary of classical results on unconstrained optimization, followed by a wealth of applications from a diverse mix of fields, e.g. location

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Nonlinear Optimization with Engineering Applications by Michael Bartholomew-Biggs

This textbook examines a broad range of problems in science and engineering, describing key numerical methods applied to real life. The case studies presented are in such areas as data fitting, vehicle route planning and optimal control, scheduling and resource allocation, sensitivity calculations and worst-case analysis. Chapters are self-contained with

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Convex Analysis and Nonlinear Optimization

Convex Analysis and Nonlinear Optimization by Jonathan Borwein,Adrian S. Lewis

Optimization is a rich and thriving mathematical discipline, and the underlying theory of current computational optimization techniques grows ever more sophisticated. This book aims to provide a concise, accessible account of convex analysis and its applications and extensions, for a broad audience. Each section concludes with an often extensive set

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Nonlinear Programming

Nonlinear Programming by Lorenz T. Biegler

This book addresses modern nonlinear programming (NLP) concepts and algorithms, especially as they apply to challenging applications in chemical process engineering. The author provides a firm grounding in fundamental NLP properties and algorithms, and relates them to real-world problem classes in process optimization, thus making the material understandable and useful

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Nonlinear Optimization Applications Using the GAMS Technology

Nonlinear Optimization Applications Using the GAMS Technology by Neculai Andrei

Here is a collection of nonlinear optimization applications from the real world, expressed in the General Algebraic Modeling System (GAMS). The concepts are presented so that the reader can quickly modify and update them to represent real-world situations.

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