本文提出一类新的解无约束最优化问题的信赖域方法。
In this paper, we propose a new class of trust region methods for nonlinear optimization problems.
第二部分主要研究无约束最优化问题非单调信赖域法。
At the second part, nonmonotonic trust region method for unconstrained optimization is studied.
用无约束最优化方法求解各输入信息对涌水量的影响。
Unconstrained optimization method is used to find out the effect of input information on water-make.
给出无约束最优化的一类带线搜索的非单调信赖域算法。
A nonmonotonic trust region algorithm with line search for unconstrained optimization problems is presented in this paper.
对求解无约束最优化问题，本文给出了一个区间压缩方法。
In this paper, the method of region constriction for global optimization is proposed.
第四章，考虑无约束最优化问题，我们提出一种新的记忆预测方法。
In Chapter 4, we study a new memory-predicted methods for unconstrained optimizations.
给出了一个解无约束最优化问题的非单调的新的BFGS校正的信赖域算法。
The paper proposes a nonmonotonic BFGS-trust-region algorithm for unconstrained optimization.
根据无约束最优化问题的梯度算法，提出了二次梯度算法，并证明了其收敛性。
In this paper, the gradient computational algorithm about unconditional extreme value is given.
基于无约束最优化问题的记忆梯度法，本文设计了测定近震时空参数的计算机程序。
In this paper, a computer program for determining near earthquake time and space parameters is designed, on the basis of memory gradient method for unconstrained optimization.
针对码分多址(CDMA)系统提出了一种基于无约束最优化的近最大似然多用户检测算法。
A near maximum-likelihood (ML) multiuser detection algorithm based on unconstrained optimization approach is proposed for code-division multiple access (CDMA) systems.
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。
Trust region method is a kind of efficient methods to solve the general unconstrained optimization and its special situation, the nonlinear least squares problems.
针对无约束函数最优化问题，提出了一种能有效加快收敛速度的改进单纯形算法。
An improved simplex method (ISM) based on Nelder and Meads simplex method (N-M SM) is presented for unconstrained function optimization.
经过推导，把一个四维带约束非线性最优化问题转化为一个二维无约束非线性最优化问题，并给出了求解过程。
After transforming the nonlinear optimal problem of four degrees of freedom with constraints to a nonlinear optimal problem of two degrees of freedom without constraints, the solution is given.
经过推导，把一个四维带约束非线性最优化问题转化为一个二维无约束非线性最优化问题，并给出了求解过程。
After transforming the nonlinear optimal problem of four degrees of freedom with constraints to a nonlinear optimal problem of two degrees of freedom without constraints, the solution is given.
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