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zuisuxiajiang
- 最速下降法求极值的vb源程序，优化课上的作业。-Steepest descent algorithm for the vb source extremum, and optimize the class work.
zuiyouhuashiyanbaogao
- 用MATLAB求解无约束的问题，主要有最速下降法，牛顿法，共轭梯度法，变尺度法（DFP和BFGS法），非线性最小二乘法。 用MATLAB求解有约束的问题，主要是外惩罚函数和广义乘子法。 以及一些对具体问题的分析，MATLAB的代码在文档里都有。 -Using MATLAB to solve the problem of non-binding, there are the steepest descent method, N
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- 求解非线性问题的算法及程序，其中有如最速下降法的详细介绍和完整的理论推导过程-The algorithm for solving nonlinear problems and procedures, like the steepest descent method in which a detailed descr iption and complete the process of theoretical derivation
mixNewton
- 混合Newton发求最小值.原理是基于Newton法，求解非线性方程。利用和最速下降法混合，避免了Newton的不足-ues mix Newton method to solve the problem: min f(x)
mulFastDown
- 最速下降法求解非线性方程组，此程序求解了【6x-sin（y）-50=0 cos（x）-4y-70=0】这一方程的解，大家可以把方程组改换，应用于自己的题目，例子。-Steepest descent method for solving nonlinear equations, this procedure solved 【6x-sin (y)-50 = 0 cos (x)-4y-70 = 0】 solution of this equa
EQU_SOLVE
- 完整的以最速下降法，牛顿迭代法，二分法求解非线性方程的Matlab程序源代码，含GUI界面，简洁明了，可对每种算法绘制收敛曲线，计算求解精度。-the completely matlab source code for equation solving by adapting steepest descent method,newton method, binary divided method,graphics user interf
unconstrained-nonlinear-
- 用最速下降法求解无约束非线性规划问题,最大奇异值,其梯度列向量-Using the steepest descent method solving unconstrained nonlinear programming problem
MATLAB
- 分别用牛顿法、最速下降法、二分法求解非线性方程，用MATLAB编写这些程序-Respectively Newton, steepest descent method, for solving nonlinear equations dichotomy, these programs using MATLAB
matlab-Code
- 此时例是关于用matlab实现牛顿法求解非线性方程组，（包含牛顿法、改进的牛顿法.梯度法、最速下降法代码），里面附带可以直接运行的程序。-At this case is about solving nonlinear equations using matlab Newton, (including Newton, Newton method to improve the code), which comes with the prog
FastDownGroudfun
- 通过matlab平台，设计最速下降法求解无约束非线性优化问题-Through the matlab platform, design the steepest descent method solving unconstrained nonlinear optimization problems
最速下降法求解方程组
- 最速下降法就是梯度下降法,可以用于求解最小二乘问题(线性和非线性都可以)。可以说是求解机器算法的最古老、最经典的模型，另一种常用的方法是最小二乘法。(The steepest descent method is the gradient descent method, which can be used to solve the least squares problem (both linear and non-linear). It