搜索资源列表
L1-Norm 优化求解
- 稀疏性方程组的优化求解算法，利用L1-Norm求解最稀疏的方程组解。主要用于压缩感知领域。
l1magic
- 压缩感知中求解最优L1范数问题的BP算法内含指导文章-Compressed sensing in L1 norm to solve the problem of optimal BP algorithm article contains guidance
LogisticR
- Logistic Loss with the L1-norm Regularization
l1-slove
- 压缩感知中求解最优L1范数问题的BP算法内含指导文章-Compressed sensing in L1 norm to solve the problem of optimal BP algorithm article contains guidance
quaternion
- 四元数乘法、求逆、共轭、求范数函数，并附有求解矢量旋转坐标的程序例子-Quaternion multiplication, inverse, conjugate, seeking norm function, together with procedures for solving the example of vector rotating coordinate
L1_homotopy
- 本程序是利用同伦方法求解L1范数最小化的数值算法-This procedure is the use of homotopy methods to solve the L1-norm minimization numerical algorithm
code
- 稀疏编码的工具包，用matlab实现，数学上是求解l1 norm最小化-toolkit for sparse coding
l1benchmark
- l1benchmark 这个算法包提供了十种求解带稀疏约束的矩阵方程 AX=b 的 MATLAB 实现代码，并提供了一个比较各种算法求解结果的演示。-An L1-norm minimization benchmark package, which contains an implementation of ten L1-norm minimization algorithms in MATLAB. The package also provides a test scr ipt for comp
fr
- Write a Matlab program which solves the initial value problem y = (xy − y2)/x2, y(1) = 2, by the order four Runge-Kutta method, over the interval [1, 3] using steps of h = 1/128. The exact solution to this problem is given by y(x) = x/
matlab-norm-distribution
- 用MATLAB产生正态分布和均匀分布,采用三种方法，并且进行纵横向对比-Generated using MATLAB normal and uniform distribution, using three methods, and conducted to compare vertical and horizontal
ShuZhiFenXi4
- 单位圆的内插实现，里面有4种内插算法：拉格朗日插值、牛顿插值、分段线性插值、分段样条插值、以及插值误差范数估计-Interpolation to achieve the unit circle, which has four kinds of interpolation algorithms: Lagrange interpolation, piecewise-linear interpolation, sub-spline interpolation, as well as Norm inte
norm
- Matlab program for normalized frequency derivation and integration in fiber coupler
mmse1
- pe to snr for equalizer zfl and mmse for channel [1 .55]/norm([1 .55]) and tap=5
pdf_norm_code
- 很好的正态分布代码，用简单的matlab代码编写，很清晰！-Very good normal distribution code, matlab code is written in simple, very clear!
cond(n)
- 利用matlab根据Gauss、Cholesky和Jacbbi三种方法实现矩阵的范数求取-Using matlab under Gauss, Cholesky and Jacbbi Three methods of striking the norm of matrix
nnLogisticR
- Logistic Loss with the L1-norm Regularization subject to non-negative constraint
least-square-a-least-norm-in-matlab
- file includes least square and least mean in matlab
matlab
- 对节点数N=5的泊松边值问题进行超松弛迭代计算，迭代因子w=1,1.25,1.5。结果输出迭代次数、迭代解与精确解的2-范数以及画图表示最终结果。-The number of nodes N = and The Poisson Boundary Value overrelaxation iterative iterative factor w = 1,1.25,1.5. Output result the number of iterations, the iterative solution
matlab
- 里卖含有很多函数，如求最大值，最小值函数，一范数和二范数相加的问题。-Being sold contain a lot of functions, such as seeking the maximum, minimum function, the sum of a norm and the two norm.
Canny-edge-detector-algorithm-matlab-codes
- Canny edge detector algorithm matlab codes This part gives the algorithm of Canny edge detector. The outputs are six subfigures shown in the same figure: • Subfigure 1: The initial "lena" • Subfigure 2: Edge detection along X-axis d