[PDF.21ql] Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms (Applied Optimization)
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Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms (Applied Optimization)
Jan Snyman
[PDF.jj34] Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms (Applied Optimization)
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| #4919903 in Books | 2009-02-22 | Original language:English | PDF # 1 | 9.25 x.64 x6.10l,1.06 | File type: PDF | 258 pages||1 of 1 people found the following review helpful.| Nice intro with original ideas|By Keiichi Ito|While brief, it gives a good mathematical foundation of mathematical optimization. Describes both the new methods developed by the author and most commonly used methods, such as SQP and CG. It provides examples that can be verified by hand calculations. It touches on many pragmatic issues such as optimization of noisy functions, mu||From the reviews: |"The book ??? is a timely addition to the literature on optimization basics and algorithms. ??? It covers all the important topics required to teach basic concepts and methods of optimization. These topics are presented in a concise yet rigo
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.
You easily download any file type for your device.Practical Mathematical Optimization: An Introduction to Basic Optimization Theory and Classical and New Gradient-Based Algorithms (Applied Optimization) | Jan Snyman. I have read it a couple of times and even shared with my family members. Really good. Couldnt put it down.
