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New type of conjugate gradient algorithms for unconstrained optimization problems
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作者 caiying wu guoqing chen 《Journal of Systems Engineering and Electronics》 SCIE EI CSCD 2010年第6期1000-1007,共8页
Two new formulaes of the main parameter βk of the conjugate gradient method are presented, which respectively can be seen as the modifications of method HS and PRP. In comparison with classic conjugate gradient metho... Two new formulaes of the main parameter βk of the conjugate gradient method are presented, which respectively can be seen as the modifications of method HS and PRP. In comparison with classic conjugate gradient methods, the new methods take both available gradient and function value information. Furthermore, their modifications are proposed. These methods are shown to be global convergent under some assumptions. Numerical results are also reported. 展开更多
关键词 conjugate gradient unconstrained optimization global convergence conjugacy condition.
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A SMOOTHING CONJUGATE GRADIENT ALGORITHM FOR NONLINEAR COMPLEMENTARITY PROBLEMS 被引量:3
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作者 caiying wu guoqing chen 《Journal of Systems Science and Systems Engineering》 SCIE EI CSCD 2008年第4期460-472,共13页
A PRP-type smoothing conjugate gradient method for solving large scale nonlinear complementarity problems (NCP(F)) is proposed. At each iteration, two Armijo line searches are performed, which guarantees the posit... A PRP-type smoothing conjugate gradient method for solving large scale nonlinear complementarity problems (NCP(F)) is proposed. At each iteration, two Armijo line searches are performed, which guarantees the positive property of the smoothing parameter and minimizes the merit function formed by Fischer-Burmeister function, respectively. Global convergence is studied when F:R^n→R^n is a continuously differentiable P0 + R0 function. Numerical results show that the method is efficient. 展开更多
关键词 Nonlinear complementarity conjugate gradient global convergence Fischer-Burmeister function
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