本文研究求解约束最优化问题的序列二次规划算法(SQP算法)。
In this paper, we are concerned with the sequence quadratic programming (SQP) methods for solving constrained optimization problems.
本文对不等式优化问题提出了一个修正的序列二次规划算法(SQP)。
In this paper, a modified sequential quadratic program (SQP) for inequality constrained optimization problems is presented.
利用直接打靶法，将此最优控制模型转化为非线性规划问题，并采用序列二次规划算法进行解算。
By using direct shooting method, the associated optimization was converted into a nonlinear programming problem, which was solved through a sequential quadratic programming solver.
利用这些敏度公式就可以构造出有效的序列二次规划算法来求解涉及重特征值的最优结构设计问题。
Truncating the characteristic equation up to the different order, we have obtained the first order and the second order sensitivity expressions both for the single and multimodal eigenvalues.
利用这些敏度公式就可以构造出有效的序列二次规划算法来求解涉及重特征值的最优结构设计问题。
Truncating the characteristic equation up to the different order, we have obtained the first order and the second order sensitivity expressions both for the single and multimodal eigenvalues.
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