搜索资源列表
WYSTD2
- 无约束优化算法的源代码 用于优化设计问题 Turbo 2.0下编译-unconstrained optimization algorithm source code for optimal design of Turbo 2.0 compiler
f1
- 差分进化算法,是一种新兴起的智能计算方法.它能求解各种无约束优化问题.
CG
- 共梯度算法程序代码.数学上，共梯度法实求解特定线性系统的数值解的方法，其中那些矩阵为对称和正定。共轭梯度法是一个迭代方法，所以它适用于稀疏矩阵系统，因为这些系统对于象乔莱斯基分解这样的直接方法太大了。这种系统在数值求解偏微分方程时相当常见。 共梯度法也可以用于求解无约束优化问题。
fminsi
- 用Fortran语言编写的Nelder-Mead优化程序，可用于解决无约束优化问题。-Written in Fortran Nelder-Mead optimization procedure can be used to solve unconstrained optimization problems.
ntontrust5duowei08
- 解无约束优化问题的锥模型拟牛顿信赖域算法。不同与传统的二次模型方法。-A quasi-Newton algorithm based on the simple dogleg method is developed.
programming
- 数学建模方法解决规划问题，有线性规划，非线性规划，无约束优化-Mathematical modeling to solve programming problems, there are linear programming, nonlinear programming, unconstrained optimization
L-BFGS
- 自己编的，实现l-bfgs解无约束优化问题-Own, and the realization of l-bfgs Unconstrained optimization problems
BFGS
- 利用BFGS算法求解大规模无约束最优化问题，代码所用语言为Fortran77.-BFGS algorithm using large-scale unconstrained optimization problems, the code language for Fortran77.
CG_PLUS
- 利用共轭梯度法（CG+）求解大规模无约束最优化问题，代码所用语言为Fortran77.-The use of conjugate gradient method (CG+) to solve large-scale unconstrained optimization problems, the code language for Fortran77.
MathematicalModelingandMathematical
- 数学建模与数学实验（第3版） 第1讲 数学建模简介 第2讲 MATLAB入门 第3讲 MATLAB作图 第4讲 线性规 第5讲 无约束优化划 第6讲 非线性规划 第7讲 微分方 第8讲 最短路问题程 第9讲 行遍性问题-Mathematical Modeling and Mathematical Experiments (3rd edition) Section 1 Introduction to Mathematical Modeling 2 speaker
wolfe
- 求解无约束优化问题 wolfe线性搜索代码-Wolfe line search for unconstrained optimization
Newton
- 数值计算中求解最优化问题时 针对无约束优化问题的牛顿法求解算法代码-Solving numerical optimization problems in the unconstrained optimization problem for the Newton algorithm code
FR
- 一种节无约束优化问题的算法，该算法有很大的局限性。-One kind of unconstrained optimization problems section algorithm has great limitations.
gongefangxiang
- 用共轭方向法求多元二次正定函数无约束优化问题-optimization problem
Lbfgsb.3.0.tar
- 无约束优化中非常有用的L-BFGS代码,在解决大规模优化问题中,有着良好的数值表现.-useful unconstrained optimization L-BFGS code, in the solution of large-scale optimization problems, has a good numerical performance.
Particle-Swarm-Optimization
- 用基于交叉遗传的粒子群优化算法求解无约束优化问题；用基于模拟退火的粒子群优化算法求解无约束优化问题-Based on the cross with a genetic particle swarm optimization algorithm for solving unconstrained optimization problems using simulated annealing particle swarm optimization algorithm for solving unc
Trust-Region-program
- 用matlab实现了信赖域算法，主要用于无约束优化问题的求解-Using matlab to achieve the trust region algorithm, mainly used for solving unconstrained optimization problems
trustm
- 牛顿型信赖域方法求解无约束优化问题的最小值和最小值点-Newton type trust region method for unconstrained optimization problems minimum and minimum point
programming
- 优化问题，包括一维搜索，最速下降法，牛顿法，拟牛顿法等无约束极值问题的求解方法-optimization problem
zuobiaolunhuanfa
- 将工程问题转化为数学问题，进行无约束优化，求得极小值。(The engineering problem is transformed into a mathematical problem, and unconstrained optimization is used to obtain the minimum value.)