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Lectures on Convex Optimization

Lectures on Convex Optimization

Hardcover

Series: Springer Optimization and Its Applications, Book 137

General MathematicsProgramming

ISBN10: 3319915770
ISBN13: 9783319915777
Publisher: Springer
Published: Dec 1 2018
Pages: 589
Weight: 2.28
Height: 1.31 Width: 6.14 Depth: 9.21
Language: English
This book provides a comprehensive, modern introduction to convex optimization, a field that is becoming increasingly important in applied mathematics, economics and finance, engineering, and computer science, notably in data science and machine learning.

Written by a leading expert in the field, this book includes recent advances in the algorithmic theory of convex optimization, naturally complementing the existing literature. It contains a unified and rigorous presentation of the acceleration techniques for minimization schemes of first- and second-order. It provides readers with a full treatment of the smoothing technique, which has tremendously extended the abilities of gradient-type methods. Several powerful approaches in structural optimization, including optimization in relative scale and polynomial-time interior-point methods, are also discussed in detail.

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General Mathematics