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Practical Mathematical Optimization: An Introduction To Basic Optimization ...

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Practical Mathematical Optimization: An Introduction To Basic Optimization Theory And Classical And New Gradient-Based AlgorithmsISBN13:9780387298245ISBN10:038729824XAuthor:Snyman, Jan (Author)Description: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 Text Is Structured To Let Professionals Apply Optimization Theory And Algorithms To Their Own Practical Fields Of Interest, Such As Engineering, Physics, Chemistry, Or Business Economics Most Importantly, Due Attention Is Paid To The Difficulties - Such As Noise, Discontinuities, Expense Of Function Evaluations, And The Existence Of Multiple Minima - 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 The Text Includes Theorems Of Special Interest, And Many Worked Examples Binding:Paperback, PaperbackPublisher:SpringerPublication Date:2005-11-29Weight:1.06 lbsDimensions:0.63'' H x 9.26'' L x 6.34'' WNumber of Pages:258Language:English

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Location: USA

End Time: 2024-11-23T16:08:34.000Z

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Practical Mathematical Optimization: An Introduction To Basic Optimization ...

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Book Title: Practical Mathematical Optimization: An Introduction To Basi...

Item Length: 9.3in

Item Width: 6.1in

Author: Jan A. Snyman

Publication Name: Practical Mathematical Optimization : An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms

Format: Trade Paperback

Language: English

Publisher: Springer

Publication Year: 2005

Series: Applied Optimization Ser.

Type: Textbook

Item Weight: 31 Oz

Number of Pages: Xx, 258 Pages

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