nonlinear optimization

It has played a special role for solving large-scale nonlinear optimization problems due to its simplicity and its very low memory requirement.

由于其算法简便，存储需求小等优点，所以对求解大规模优化问题具有重要作用。

Using the penalty function which not only depends on the number of constraint violations but also on the degree of constraint violations, the multi-constrained nonlinear optimization problem is solved.

采用罚函数法解决多约束非线性优化问题，罚函数既是违反功率和通信QoS约束的数量函数，又是程度函数，同时采用归一化处理将不同的约束条件无量纲化。

We discuss non-monotonic trust region algorithm for unconstrained nonlinear optimization problems in view of Trust Region Model mainly.

然后从信赖域子问题的角度出发，对无约束优化问题提出了一个改进的非单调信赖域算法。

nonlinear optimization methods for meg source localization

利用非线性优化方法进行脑磁源定位

Multi-particle tracking and matrix multiplication are used to calculate the beam transport. Monte Carlo techniques are adopted to generate randomly the initial particle coordinates in the phase spaces, and Powell nonlinear optimization routines are incorporated in the codes to search the given optical conditions.

程序采用多粒子跟踪与σ矩阵相结合的万式，用Monte Carlo方法随机产生初始相空间中各代表点的坐标，并用Powell非线性最优化方法进行光路系统的最优化计算。

The determination of active slip system is reduced to a nonlinear optimization problem.

对于滑移系激活情况的判定则可转化为求解活动约束的非线性数学规划问题。

A new method applying nonlinear optimization for parametrization of material equation of state ( EOS) is put forward, by use of stress vs time profile recorded by a Lagrangian gauge.

提出一种确定材料物态方程参数的新方法，即从一次平面碰撞实验中单个拉格朗日量计记录的应力历史曲线出发，建立非线性优化模型，进而确定材料的物态方程参数。

Sequential Quadratic Programming ( SQP) is the most efficient algorithm for nonlinear optimization.

逐次二次规划法（Sequential quadratic programming，SQP）是目前求解非线性约束问题十分有效的方法。

It is the critical technique of soil slope stability analysis to locate the most dangerous slip surface, and to locate the most dangerous slip surface is a nonlinear optimization problem that takes integral stability safety factor of soil slope as a target function.

土坡最危险滑动面的搜索确定是土坡稳定性分析的关键技术。而土坡最危险滑动面的搜索可归结为一个以土坡整体稳定安全系数作为目标函数的非线性优化问题。

A nonlinear optimization method for solving three-dimensional inverse problem in acoustic scattering

三维声散射反问题的一种非线性最优化求解方法

For linear and nonlinear optimization!

用于线性及非线性最优化!