We present an affine scaling trust region algorithm with interior back - tracking and subspace techniques for nonlinear optimizations subject to linear inequality constraints.
使用仿射变换内点回代技术的信赖域子空间算法解线性不等式约束的非线性优化问题。
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。
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。
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。
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