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Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms (Applied Optimization) by Jan A. Snyman is a nonfiction available to read on EtoBox.

What is Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms (Applied Optimization) about?

<p><p>this Book Presents Basic Optimization Principles And Gradient-based Algorithms To A General Audience In A Brief And Easy-to-read Form, Without Neglecting Rigor. The Work Should Enable Professionals To Apply Optimization Theory And Algorithms To Their Own Particular Practical Fields Of Interest, Be It Engineering, Physics, Chemistry, Or Business Economics. Most Importantly, For The First Time In A Relatively Brief And Introductory Work, Due Attention Is Paid To The Difficulties &#8211; Such As Noise, Discontinuities, Expense Of Function Evaluations, And The Existence Of Multiple Minima &#8211; That Often Unnecessarily Inhibit The Use Of Gradient-based Methods. In A Separate Chapter On New Gradient-based Methods Developed By The Author And His Coworkers, It Is Shown How These Difficulties May Be Overcome Without Losing The Desirable Features Of Classical Gradient-based Methods.</p>

Who reads Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms (Applied Optimization)?

Author

Jan A. Snyman

Publisher

Springer

Published

2005

Language

EN

ISBN

9786610618644

Category

nonfiction

Subjects

Mathematics, Stem