Lectures on convex optimization (Record no. 211331)

000 -LEADER
fixed length control field aam a22 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 190313b2018 ||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319915777
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.3
Item number N3L3
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Nesterov, Yurii
9 (RLIN) 376483
245 ## - TITLE STATEMENT
Title Lectures on convex optimization
250 ## - EDITION STATEMENT
Edition statement 2nd
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc Springer
Date of publication, distribution, etc 2018
Place of publication, distribution, etc Switzerland
300 ## - PHYSICAL DESCRIPTION
Extent xxiii, 589p.
Other physical details With index
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Title Springer optimization and its applications 137
9 (RLIN) 376484
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Table of Contents
Introduction
Part I Black-Box Optimization
1 Nonlinear Optimization
2 Smooth Convex Optimization
3 Non smooth Convex Optimization
4 Second-Order Methods
Part II Structural Optimization
5 Polynomial-time Interior-Point Methods
6 Primal-Dual Model of Objective Function
7 Optimization in Relative Scale
520 ## - SUMMARY, ETC.
Summary, etc 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.
Researchers in theoretical optimization as well as professionals working on optimization problems will find this book very useful. It presents many successful examples of how to develop very fast specialized minimization algorithms. Based on the author’s lectures, it can naturally serve as the basis for introductory and advanced courses in convex optimization for students in engineering, economics, computer science and mathematics.

https://www.springer.com/us/book/9783319915777
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Mathematics - Optimization
9 (RLIN) 376485
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer software
9 (RLIN) 376486
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Numerical analysis
9 (RLIN) 376487
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computers - Programming - Algorithms
9 (RLIN) 376488
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Permanent location Current location Shelving location Date acquired Source of acquisition Cost, normal purchase price Item location Full call number Barcode Date last seen Cost, replacement price Koha item type
          Non-fiction Vikram Sarabhai Library Vikram Sarabhai Library General Stacks 2019-03-13 71 4.00 Slot 1408 (0 Floor, East Wing) 519.3 N3L3 198725 2019-03-13 6097.00 Books

Powered by Koha