Selected Applications of Convex Optimization, 2015 Springer Optimization and Its Applications Series, Vol. 103
Langue : Anglais
Auteur : Li Li
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.
Preliminary Knowledge.- Support Vector Machines.- Parameter Estimations.- Norm Approximation and Regulariztion.- Semi-Definite Programing and Linear Matrix Inequalities.- Convex Relaxation.- Geometric Problems.
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
Date de parution : 04-2015
Ouvrage de 140 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 52,74 €
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