Practical Optimization

Philip E. Gill

ISBN 10: 161197559X / ISBN 13: 9781611975598

Editore: Society for Industrial & Applied Mathematics,U.S., 2019

New copy - Usually dispatched within 4 working days. Codice articolo B9781611975598

Riassunto:

In the intervening years since this book was published in 1981, the field of optimization has been exceptionally lively. This fertility has involved not only progress in theory, but also faster numerical algorithms and extensions into unexpected or previously unknown areas such as semidefinite programming. Despite these changes, many of the important principles and much of the intuition can be found in this Classics version of Practical Optimization.

This book provides model algorithms and pseudocode, useful tools for users who prefer to write their own code as well as for those who want to understand externally provided code. It presents algorithms in a step-by-step format, revealing the overall structure of the underlying procedures and thereby allowing a high-level perspective on the fundamental differences. And it contains a wealth of techniques and strategies that are well suited for optimization in the twenty-first century, and particularly in the now-flourishing fields of data science, “big data,” and machine learning.

Practical Optimization is appropriate for advanced undergraduates, graduate students, and researchers interested in methods for solving optimization problems.

Dati bibliografici

Titolo: Practical Optimization
Casa editrice: Society for Industrial & Applied Mathematics,U.S.
Data di pubblicazione: 2019
Legatura: Paperback / softback
Condizione: New