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SLMQN:一个解大规模边界约束非线性规划子空间有限储存拟牛顿方法的FORTRAN优化软件 被引量:12
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作者 倪勤 袁亚湘 《数值计算与计算机应用》 CSCD 北大核心 1997年第3期173-179,共7页
SLMQN is a subspace limited memory quasi-Newton algorithm for solving largescale bound constrained nonlinear programming problems. The algorithm is suitable to these large problems in which the Hessian matrix is diffi... SLMQN is a subspace limited memory quasi-Newton algorithm for solving largescale bound constrained nonlinear programming problems. The algorithm is suitable to these large problems in which the Hessian matrix is difficult to compute or is dense,or the number of variables is too large to store and compute an n x n matris. Due to less storage requirement, this algorithm can be used in PCs for solving medium-sized and large problems. The algorithm is implemented in Fortran 77. 展开更多
关键词 非线性规划 slmqn FORTRAN语言 优化软件
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