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Practical Mathematical Optimization - Basic Optimization Theory and Gradient-Based Algorithms (Paperback, Softcover reprint of the original 2nd ed. 2018) Loot Price: R2,400
Discovery Miles 24 000
Repayment Terms: R225 pm x 12*
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Practical Mathematical Optimization - Basic Optimization Theory and Gradient-Based Algorithms (Paperback, Softcover reprint of...

Practical Mathematical Optimization - Basic Optimization Theory and Gradient-Based Algorithms (Paperback, Softcover reprint of the original 2nd ed. 2018)

Jan A Snyman, Daniel N Wilke

Series: Springer Optimization and Its Applications, 133

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Loot Price R2,400 Discovery Miles 24 000 | Repayment Terms: R225 pm x 12*

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This book presents basic optimization principles and gradient-based algorithms to a general audience, in a brief and easy-to-read form. It enables professionals to apply optimization theory to engineering, physics, chemistry, or business economics.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Springer Optimization and Its Applications, 133
Release date: 2019
First published: 2018
Authors: Jan A Snyman • Daniel N Wilke
Dimensions: 235 x 155 x 21mm (L x W x T)
Format: Paperback
Pages: 372
Edition: Softcover reprint of the original 2nd ed. 2018
ISBN-13: 978-3-03-008486-8
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Calculus & mathematical analysis > Real analysis
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Computing & IT > Computer software packages > Other software packages > Mathematical & statistical software
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LSN: 3-03-008486-8
Barcode: 9783030084868

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