Simplex algorithm is an effective method for solving linear programming problem.
单纯形法是求解线性规划问题的有效方法。
The interior point method is a polynomial time algorithm for solving linear programming problem, and its number of iterations is independent on the size of system.
内点法是一种求解线性规划问题的多项式时间算法，其显著特征是其迭代次数与系统规模关系不大。
To improve the method of solving linear programming problem by means of simplex method, this paper gives the method of linear programming problem general solution with infinite optimal solutions.
为了进一步完善解线性规划问题的单纯形法，本文给出了表达一类具有无穷多个最优解的线性规划问题通解的方法。
The paper studies the nonlinear programming problem with linear constraints. Based on its optimality conditions, a neural network for solving it is proposed.
研究了线性约束的非线性凸规划问题，基于最优性的充要条件，提出了求解它的一个神经网络。
The model is based on "Branch Bound" method which is used to solving the problem of integer linear programming, and it has the characters of parallel computing, goal driving and less time complicacy.
该模型基于求解整数线性规划问题的分枝定界方法，具有求解并行、目标驱动、时间复杂性低等特点。
This paper analyzes the theory and the method in solving the network problem by the mathematics model of linear programming and graph theory.
分析了用线性规划、图论的方法解决网络问题的理论和算法。
Direct search feasible direction (DSFD) is an effective algorithm for solving the constrained non-linear programming problem, however, it could only find the local optimal solution.
转轴直径搜索可行方向法(DSFD方法)是一种比较有效的求解有约束非线性规划问题的算法，但它只能得到局部最优解。
Hence, the proposed controller can be obtained by solving a standard linear programming problem.
因此控制器设计只需解一个标准线性规划问题。
Hence, the proposed controller can be obtained by solving a standard linear programming problem.
因此控制器设计只需解一个标准线性规划问题。
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