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Selected Applications of Convex Optimization de Li Li

Selected Applications of Convex Optimization: Springer Optimization and Its Applications, cartea 103

Autor Li Li
en Limba Engleză Paperback – 9 apr 2015
This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex optimization problems they might encounter in practice.
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Specificații

ISBN-13: 9783662463550
ISBN-10: 3662463555
Pagini: 152
Ilustrații: X, 140 p. 30 illus., 25 illus. in color.
Dimensiuni: 155 x 235 x 9 mm
Greutate: 0.24 kg
Ediția:2015
Editura: Springer
Colecția Springer Optimization and Its Applications
Seria Springer Optimization and Its Applications

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Preliminary Knowledge.- Support Vector Machines.- Parameter Estimations.- Norm Approximation and Regulariztion.- Semi-Definite Programing and Linear Matrix Inequalities.- Convex Relaxation.- Geometric Problems.

Recenzii

“Selected Applications of Convex Optimization is abrief book, only 140 pages, and includes exercises with each chapter. It wouldbe a good supplemental text for an optimization or machine learning course.”(John D. Cook, MAA Reviews, maa.org, December, 2015)

Textul de pe ultima copertă

This book focuses on the applications of convex optimization and highlights several topics, including support vector machines, parameter estimation, norm approximation and regularization, semi-definite programming problems, convex relaxation, and geometric problems. All derivation processes are presented in detail to aid in comprehension. The book offers concrete guidance, helping readers recognize and formulate convex optimization problems they might encounter in practice.

Caracteristici

Presents applications of convex optimization issues arranged in a synthetic way Demonstrates the interplay of convex optimization theory and applications of carefully designed Matlab sample codes Introduces all derivation processes in details so that readers can teach themselves without any difficulties

Notă biografică

Li Li is an Associate Professor at East China Normal University (ECNU) with a Ph.D. in Economics from the National University of Singapore (NUS). Prior to joining ECNU, she worked at the Institute of Water Policy, Lee Kuan Yew School of Public Policy, NUS, supporting Singapore's Public Utilities Board. Her research focuses on labor economics, resource economics, and development economics. Her work has appeared in peer-reviewed journals such as Journal of Human Resources, Journal of Environmental Economics and Management, Journal of Population Economics, and Journal of Econometrics. She is the PI of two projects under the National Natural Science Foundation of China (youth and general).