Practical Mathematical Optimization Book

Name: Practical Mathematical Optimization, , Practical Mathematical Opt
Brand: Steidl Publishing
SKU: 9780387243481
Price: 159.00 USD
Availability: InStock
Rating: 3 (2 reviews)

2 Ratings

Practical Mathematical Optimization, , Practical Mathematical Optimization

3 out of 5 stars based on 2 reviews

Practical Mathematical Optimization
Written by author Jan A. Snyman
Published by Springer-Verlag New York, LLC, March 2005
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

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1 Introduction 1
2 Line search descent methods for unconstrained minimization 33
3 Standard methods for constrained optimization 57
4 New gradient-based trajectory and approximation methods 97
5 Example problems 151
6 Some theorems 207
A The simplex method for linear programming problems 233

Title: Practical Mathematical Optimization

Manufacturer:

Steidl Publishing

Item Number: 9780387243481

Publication Date: March 2005

Number: 1

Product Description: Practical Mathematical Optimization

Universal Product Code (UPC): 9780387243481

WonderClub Stock Keeping Unit (WSKU): 9780387243481

Rating: 3/5 based on 2 Reviews

Image Location: https://wonderclub.com/images/covers/34/81/9780387243481.jpg

Category: Media >> Books

Weight: 0.200 kg (0.44 lbs)

Width: 0.000 cm (0.00 inches)

Heigh : 0.000 cm (0.00 inches)

Depth: 0.000 cm (0.00 inches)

Date Added: August 25, 2020, Added By: Ross

Date Last Edited: August 25, 2020, Edited By: Ross

Price	Condition	Delivery	Seller	Action
$159.00	Digital	Arrives between Apr 30 - May 30 Login to your account for a direct download. Some files are emailed from Dropbox. Continent $0.00 - World $0.00	WonderClub (9294 total ratings)

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Ronna Sklar

reviewed Practical Mathematical Optimization on September 12, 2018

Practical Mathematical Optimization

A good book to learn

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Practical Mathematical Optimization Book

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1	Introduction	1
2	Line search descent methods for unconstrained minimization	33
3	Standard methods for constrained optimization	57
4	New gradient-based trajectory and approximation methods	97
5	Example problems	151
6	Some theorems	207
A	The simplex method for linear programming problems	233