A subspace truncated-Newton algorithm for large-scale bound constrained optimization is proposed.
给出了大规模界约束优化的一个子空间截断牛顿法。
Based on successive unconstrained programming methods, the successive bound constrained programming algorithms for large-scale process system optimization are studied in this paper.
基于非线性约束极小化的序列无约束方法，对大规模过程系统稳态优化的序列界约束方法进行了研究。
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