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Volumn 2006, Issue , 2006, Pages 123-129

A region-dividing approach to robust semidefinite programming and its error bound

Author keywords

Approximation; Computational complexity; Conservatism; Linear matrix inequalities; Polynomial optimization; Robust semidefinite programming

Indexed keywords

COMPUTATIONAL COMPLEXITY; ERROR ANALYSIS; MATHEMATICAL PROGRAMMING; OPTIMIZATION; PARAMETER ESTIMATION; POLYNOMIAL APPROXIMATION; UNCERTAIN SYSTEMS;

EID: 34047237671     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (34)

References (38)
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    • (2005)
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  • 34
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    • Matrix sum-of-squares relaxations for robust semi-definite programs
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    • Sums of squares and semidefinite programming relaxations for polynomial optimization problems with structured sparsity
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.