TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-662-46356-7
DO  - doi
AB  - 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.
T1  - Selected applications of convex optimization
AU  - Li, Li.
VL  - volume 103
CN  - QA402-402.37
ID  - 726382
KW  - Mathematical optimization.
SN  - 9783662463567
SN  - 3662463563
TI  - Selected applications of convex optimization
LK  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-46356-7
UR  - https://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-662-46356-7
ER  -