Name: Numerical Methods and Optimization: An Introduction (Chapman & Hall (en Inglés)
Price: 540605.00 COP
Availability: InStock
Author: Sergiy Butenko; Panos M. Pardalos
ISBN: 9781466577770

portada Numerical Methods and Optimization: An Introduction (Chapman & Hall (en Inglés)

Numerical Methods and Optimization: An Introduction (Chapman & Hall (en Inglés)

Formato

Libro Físico

Editorial

Chapman And Hall/Crc

Autor

Sergiy Butenko; Panos M. Pardalos

Año

2013

Idioma

Inglés

N° páginas

300

Encuadernación

Tapa Dura

ISBN

1466577770

ISBN13

9781466577770

N° edición

Categorías

Investigación operativa

Numerical Methods and Optimization: An Introduction (Chapman & Hall (en Inglés)

Sergiy Butenko; Panos M. Pardalos (Autor) · Chapman And Hall/Crc · Tapa Dura

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Reseña del libro "Numerical Methods and Optimization: An Introduction (Chapman & Hall (en Inglés)"

For students in industrial and systems engineering (ISE) and operations research (OR) to understand optimization at an advanced level, they must first grasp the analysis of algorithms, computational complexity, and other concepts and modern developments in numerical methods. Satisfying this prerequisite, Numerical Methods and Optimization: An Introduction combines the materials from introductory numerical methods and introductory optimization courses into a single text. This classroom-tested approach enriches a standard numerical methods syllabus with optional chapters on numerical optimization and provides a valuable numerical methods background for students taking an introductory OR or optimization course. The first part of the text introduces the necessary mathematical background, the digital representation of numbers, and different types of errors associated with numerical methods. The second part explains how to solve typical problems using numerical methods. Focusing on optimization methods, the final part presents basic theory and algorithms for linear and nonlinear optimization. The book assumes minimal prior knowledge of the topics. Taking a rigorous yet accessible approach to the material, it includes some mathematical proofs as samples of rigorous analysis but in most cases, uses only examples to illustrate the concepts. While the authors provide a MATLAB® guide and code available for download, the book can be used with other software packages.