Then we apply these NCP functions to some nonlinear optimization methods.
把这些NCP函数应用到解非线性优化问题的方法中。
The problem of EEG source location may be summed up as optimization problem. It is generally accepted that nonlinear optimization methods are good tools to solve this problem.
脑电源定位可以归结为优化问题，非线性优化方法是解决这一问题的有力工具。
Computer simulation demonstrates that nonlinear local optimization methods are effective for EEG inverse solution if the source number is one or two and the initial iterative values are reasonable.
仿真结果表明，在处理一个或两个源场的情况下，如果迭代初值选择合理，非线性局域优化方法可以有效地解决脑电逆问题。
Trust region method is a kind of efficient methods to solve the general unconstrained optimization and its special situation, the nonlinear least squares problems.
对于一般的无约束最优化问题及其特殊情况非线性最小二乘问题而言，信赖域方法是一种有效的方法。
A nonlinear direct optimization algorithm is given. The algorithm is diferent from the Talor expansion methods and easy to be realized by computer.
同时给出了一个非线性直接优化算法，该算法避开了常规的台劳级数线性展开的方法，易于在计算机上实现。
In this paper, two methods are introduced for optimization of nonlinear pipeline to be programmed.
文章介绍两种方法，以期流水线的优化可编程。
In this paper, we propose a new class of trust region methods for nonlinear optimization problems.
本文提出一类新的解无约束最优化问题的信赖域方法。
Introduce main problems of Constained Optimization and methods to solve them. Using immune computing algorithm for solving nonlinear programming problem.
介绍了约束条件的函数优化的主要问题及处理约束的解决方法，针对一般性非线性规划问题，采用免疫算法来进行处理。
Introduce main problems of Constained Optimization and methods to solve them. Using immune computing algorithm for solving nonlinear programming problem.
介绍了约束条件的函数优化的主要问题及处理约束的解决方法，针对一般性非线性规划问题，采用免疫算法来进行处理。
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