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youhua
最优化问题方法介绍,以及工具箱补充实验.m文件(Method of optimization problem introduction, as well as the toolbox to add the experiment. M file)
- 2007-08-21 16:28:39下载
- 积分:1
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1
说明: 介绍matlab和vc混编后独立运行程序(Introduce matlab and vc after running the program. Independent mix
)
- 2011-06-23 09:05:47下载
- 积分:1
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icosahedron
geometric shape modeling4
- 2011-11-28 15:58:12下载
- 积分:1
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power_simplealt
power_simplealt.rar,功率电子领域matlab仿真文件,已经验证过,程序运行正常(power_simplealt.rar,Power electronics field matlab simulation file, has already been
verified, the normal operating procedures)
- 2013-07-14 12:34:48下载
- 积分:1
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MIMO
MIMO-OFDM System 2*2 matlab code
- 2013-09-06 22:54:08下载
- 积分:1
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dpll_fixpt
Simulink all digital pll with fixed point
- 2012-09-11 06:54:00下载
- 积分:1
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src.tar
Txk - Tux kart main file
- 2014-12-21 03:53:04下载
- 积分:1
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NMF-DTU-Toolbox
matlab源代码,是非负矩阵分解工具箱,包含乘法更新,最小二乘约束,投影梯度法等方法(Usage:
[W,H] = nmf(X,K,alg,maxiter,speak)
W: output matrix
H: output matrix
X: input matrix
K: number of components
alg: algorithm to use
maxiter: maximum number of iterations
speak: print to screen
Algorithms:
mm: Multiplicative updates method using euclidean distance measure.
cjlin: Projected gradient method
prob: Probabilistic non-negative matrix factorization.
als: Alternating least squares.
alsobs: Alternating least squares with optimal brain surgeon.
Demonstrations:
PET: NMF on a PET dataset
Text: NMF used on a three different datasets Email, medical, and CNN.
Algorithms
mm: Multiplicative update method using euclidean distance measure.
Described in Lee and Seung, 2001, Algorithms for Non-negative Matrix Factorization, Advances in Neural Information Processing Systems 13, 556-562. This algorithm is the most commonly used algorithm to solve NMF.
cjlin: Alternative non-negative least squares using projected gradients.
Author: Chih-Je)
- 2021-04-22 19:28:48下载
- 积分:1
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munkres
Hungrian method for assignment
- 2011-08-10 20:42:56下载
- 积分:1
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new
命令解析函数getopt_long()接口的使用(Order analytic function getopt_long () interface to use)
- 2010-08-22 18:28:41下载
- 积分:1