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.
General
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