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Volumn 20, Issue 4, 2007, Pages 405-411

A new finitely convergent algorithm for systems of nonlinear inequalities

Author keywords

Finitely convergent algorithm; Generalized projection; Global and strong convergence; Method of strongly sub feasible direction; Systems of nonlinear inequalities

Indexed keywords

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; FINITE ELEMENT METHOD; NUMBER THEORY; NUMERICAL ANALYSIS; PROBLEM SOLVING;

EID: 33751249636     PISSN: 08939659     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aml.2006.05.007     Document Type: Article
Times cited : (7)

References (12)
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    • Fukushma, M.1
  • 5
    • 18944372884 scopus 로고    scopus 로고
    • Finitely convergent algorithm of generalized gradient projection for systems of nonlinear inequalities
    • Jian J.B., and Liang Y.M. Finitely convergent algorithm of generalized gradient projection for systems of nonlinear inequalities. Neural Parallel Sci. Comput. 12 (2004) 207-218
    • (2004) Neural Parallel Sci. Comput. , vol.12 , pp. 207-218
    • Jian, J.B.1    Liang, Y.M.2
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    • J.B. Jian, Researches on superlinearly and quadratically convergence algorithms for nonlinearly constrained optimization, Ph.D. Thesis, School of Xi'an Jiaotong University, Xi'an, China, 2000
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    • Jian, J.B.1    Zhang, K.C.2
  • 8
    • 0033634095 scopus 로고    scopus 로고
    • Global convergence analysis of algorithm for finding feasible points in norm-relaxed MFD
    • Chen X.B., and Kostreva M.M. Global convergence analysis of algorithm for finding feasible points in norm-relaxed MFD. JOTA 100 2 (1999) 287-309
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    • A trust region algorithm for equality constrained minimization: Convergence properties and implementation
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.