1.
Study on Singular Nonlinear Systems of Equations and Nonlinear Optimization;
关于奇异的非线性方程组与奇异的非线性最优化方法的研究
2.
Nonlinear Lagrange Methods for Solving Nonlinear Optimization Problems;
求解非线性优化问题的非线性Lagrange方法
3.
A Superlinearly Convergent Norm-Relaxed Method of Strongly Sub-Feasible Directions for Nonlinearly Constrained Optimization;
非线性约束最优化超线性收敛的模松弛强次可行方向法
4.
Nonlinear Conjugate Gradient Methods for Optimization Problems;
求解最优化问题的非线性共轭梯度法
5.
A study of newton algorithm for the solution of nonlinear optimization problems;
求解非线性最优化问题的Newton算法研究
6.
The Comparative Study on Linear and Non-linear Optimal Forecast-combination Methods;
线性与非线性最优组合预测方法的比较研究
7.
A Class of Nonlinear Lagrange Methods for Nonlinear Optimization Problems;
求解非线性优化问题的一类非线性Lagrange方法
8.
The Optimization Solution of The Linear Programming of Elasticity Constraints;
弹性约束下的线性规划之最优化方法
9.
Abstract: Seismic inversion problems must be solved by non-linear global optimization methods.
文摘:地震反演问题常常需要一些非线性全局最优化的方法。
10.
Newton-Type Methods for Unconstrained Optimization Problems and Nonlinear Equations with Singular Solutions;
具有奇异解的无约束最优化问题和非线性方程组的牛顿法
11.
LS-SVM predictive control based on PSO for nonlinear systems
基于粒子群优化的非线性系统最小二乘支持向量机预测控制方法
12.
A KIND OF ADJOINT EQUATION APPROACH FOR SOLVING NONLINEAR OPTIMIZATION PROBLEMS
一类非线性优化问题的伴随方程算法
13.
Application of Nonlinear Optimization Methods to the Study of Blocking;
非线性优化方法在阻塞研究中的应用
14.
Application of Optimization of Multi-Parameters in Non-Linear System;
非线性系统中多参量优化方法的应用
15.
Illustrations show that PSO method is capable in evaluating nonlinear optimization problems such as spatial straightness error and can obtain optimal solutions.
实例表明该方法对于空间直线度误差评定等非线性优化问题能得到最优解。
16.
Studies on the Approximate Approac hes of Optimal Control for Nonlinear Discrete Systems
非线性离散时滞系统最优控制近似方法研究
17.
Interior Affine Scaling Trust Region Algorithm Via Optimal Path for Nonlinear Optimizations Subject to Linear Constraints;
线性约束优化的最优路径仿射内点信赖域方法
18.
The PHD thesis is to study the super-memory gradient methods for optimization problems.
本文研究非线性最优化中的超记忆梯度算法。