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Selected Applications of Convex Optimization (Springer Optimization and Its Applications Book 103) by Li, Li is a nonfiction available to read on EtoBox.
What is Selected Applications of Convex Optimization (Springer Optimization and Its Applications Book 103) about?
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 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. Content Level » Research Keywords » Convex Optimization - Convex Relaxation - Expectation Maximization - Linear Matrix Inequalities - Support Vector Machines - data mining Related subjects » Applications - Computational Science & Engineering - Mathematics
Who reads Selected Applications of Convex Optimization (Springer Optimization and Its Applications Book 103)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Li, Li
- Publisher
- Springer Berlin Heidelberg : Imprint : Springer
- Published
- 2015
- Language
- EN
- ISBN
- 9787302390299
- Category
- nonfiction
- Subjects
- Mathematics, Science, Technology
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