And then, we present an approximation method for solving this probabilistic constrained stochastic programming, and prove certain convergence of the method under some conditions.
随后我们提出了求解这类概率约束随机规划的一种近似算法，并在一定的条件下证明了算法的收敛性。
Then, we start from uniform approximation to offer optimal transfer matrix algorithm and use method of linear programming to solve for optimal transfer matrix.
然后从一致逼近出发提出最佳传递矩阵计算法，并利用线性规划的方法求出最佳传递矩阵。
We first formulate the problem as a stochastic nonlinear programming problem and then propose a new simple method for solving it via some approximation techniques.
本文先把问题转化为一个随机非线性规划问题，然后用逼近技术给出一个简单的求解方法。
In this paper, an optimal mathematical model solving method, the successive approximation method, of the nature of nonlinear integral programming problem is suggested.
本文提出一种求解优化数学模型，属于非线性整数规划问题的方法——逐次近似法。
In this paper, a smooth approximation-BFGS method for solving inequality constrained nonlinear programming is presented.
本文对不等式约束非线性规划提出一种光滑逼近- BFGS法。
In this paper, a smooth approximation-BFGS method for solving inequality constrained nonlinear programming is presented.
本文对不等式约束非线性规划提出一种光滑逼近- BFGS法。
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