在简要介绍MATLAB优化工具箱中的序列二次规划法后，采用该算法求出设计结果。
The sequential quadratic programming algorithm of optimization toolbox of MATLAB is effectively used to solve the model after it is concisely introd.
建立非线性等式和不等式约束规划问题的一个序列二次规划(sqp)型算法。
An algorithm of successive quadratic programming (SQP) type is presented to program problems with nonlinear equality and inequality constraints.
为了克服这些困难，提出了一种基于序列二次近似算法精确的对偶映射。
In order to overcome the difficulties, a sequential quadratic approximate algorithm is proposed based on exact dual mapping.
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.
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.
基于此策略，结合序列二次规划(SQP)方法，并利用滤子以避免罚函数的使用，提出了一类积极集s QP滤子方法，并在合理条件下证明了算法的全局收敛性。
Based on this technique and the sequential quadratic programming (SQP) method, a new active set filter SQP method is proposed in which the penalty function is not required by filter strategy.
由于序列二次规划（SQP）算法具有快速收敛速度，所以它是求解光滑约束优化问题的有效方法之一。
Sequential quadratic programming (SQP) method is an efficient method for solving smooth constrained optimization problems because of its fast convergence rate.
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.
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.
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