The algorithm can be applied to various linear and nonlinear bilevel programming problems.
算法适用于各类线性和非线性二层规划问题。
This paper introduces the problem of nonlinear programming, compares the linear programming with the nonlinear programming, and researches on several common nonlinear double-plan models.
介绍了非线性规划问题，比较了线性规划问题和非线性规划问题，研究了几种常见的非线性双方案模型。
This article deals with the basic methods for solving unconstrained and constrained nonlinear problems. It describes also the linear approximation methods of nonlinear programming.
本文阐明无约束和有约束非线性问题的基本解法，并说明非线性规划的线性近似方法。
This formulation results in a large scale 0-1 programming problem with nonlinear objective function and linear or nonlinear constraints.
该数学表达式表现为一个具有非线性目标函数及线性与非线性约束条件的大规模0 - 1规划问题。
The simplex optimization method about nonlinear programming problem has been used in the mixed acid linear titration and the effect of various factors on computative speed has been discussed.
将非线性规划问题的单纯形加速法用于混合酸的线性滴定计算，同时优化酸浓度及有关条件常数，求出酸浓度的最优解。 讨论了影响单纯形法计算速度的因素。
A nonlinear programming model of production planning with demand constraints is built up and then transformed into a linear programming model by adding constraints.
首先根据实际需要建立车间生产计划的含需求约束的非线性规划模型，然后为求解方便通过引进约束将其转化成线性规划模型。
Based on internal algorithm, a generalized variable metric projection internal algorithm for nonlinear programming with linear constraints and the convergence proof are given.
基于内点算法的思想，利用广义投影技术构造了一求解线性约束的非线性规划问题的变尺度方向内点算法，并给出了其收敛性证明。
In mathematical programming, the problem in which the objective function and constraints are not all linear is called nonlinear programming.
在数学规划中，当问题的目标函数和约束条件并非均为线性时，该问题即称为非线性规划。
The corrective control problem was decomposed into a nonlinear power flow and linear sensitivity computation sub-problem and a sensitivity-based linear programming optimization control sub-problem.
该算法基于连续线性规划技术，将安全校正问题分解为非线性潮流和线性控制灵敏度计算子问题以及基于灵敏度的线性规划控制子问题。
The corrective control problem was decomposed into a nonlinear power flow and linear sensitivity computation sub-problem and a sensitivity-based linear programming optimization control sub-problem.
该算法基于连续线性规划技术，将安全校正问题分解为非线性潮流和线性控制灵敏度计算子问题以及基于灵敏度的线性规划控制子问题。
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