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- 输入：phi是目标函数，a,b是搜索区间的两个端点 delta,epsilon分别是自变量和函数值的容许误差 输出：s,phis分别是近似极小点和极小值，G是n乘4矩阵- input: phi is the objective function, a, b is the search interval of two endpoints delta, epsilon, respectively is the independent variable and function
steepest-descent--and-Newton
- function[x,val,k] dampnm(fun,gfun,hesse,x0) 功能：用阻尼牛顿法求解无约束问题：min f(x) 输入：x0是初始点，fun,gfun,hesse分别是目标函数值，梯度，hesse矩阵的函数 输出：x,val分别是近似最优点和最优值，k是迭代次数-The function/x, val, k dampnm (fun, gfun, Hesse, x0) function: with damped Newton method f
meridian
- image denoising by method proposed in signal processing paper(Salt-and-Pepper Noise Removal by Median-Type Noise Detectors and Detail-Preserving Regularization).
4-runge-kutta
- 基于VisioC++的四阶龙格库塔算法的实现，给出了具体实现过程。-The realization of the four order Runge Kutta algorithm based on VisioC++, gives the concrete realization of the process.
OpenGLsimulatedmissi
- 出了基于OpenGL的实现导弹的可视化仿真过程具体代码。- The realization of the visual simulation process of Missile Based on OpenGL is given.
trackView
- 给出导弹运动轨迹的求解方法，并给出了具体实现过程。-The solving method of the trajectory of the missile is given, and the concrete realization process is given.
RungeKutta
- 给出了四阶龙格库塔算法求解微分方程的具体过程和实现方法。- Given the detailed process and method of four order Runge Kutta algorithm for solving differential equations.
longe1
- 用四阶龙格库塔算法求解微分方程的具体过程和实现方法。- With the detailed process and method of four order Runge Kutta algorithm for solving differential equations.
weiqinglaieg2_1
- 近似动态规划学习例子，是我在看魏庆来的《迭代自适应动态规划理论及应用》书中的例子，自己编的程序，可以运行，有一定参考价值。-Approximate Dynamic Programming learning example, I look at Wei Qing to the " iterative adaptive dynamic programming theory and application," the book example, own program, you ca
pso
- the mfiles of PSO in mathlab. for optimization problem
Principal_Component_Analysis
- Implementation of Principal component analysis
principal-components-analysis
- Principal component analysis in python