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文献1的仿真程序
solves the linear least squares problem with nonnegative variables =
using the newton s algorithm in [1].
[1] Portugal, Judice and Vicente, A comparison of block pivoting and
％ interior point algorithms for linear least squares probl
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The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial
and nancial problems. Although the Kalman lter is effective in the linear-Gaussian
case, new methods of dealing with sequential data are requi
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In computer science, a selection algorithm is an algorithm for finding the kth smallest number in a list (such a number is called the kth order statistic.) This includes the cases of finding the minimum, maximum, and median elements. There are worst-
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根据a comparison of block pivoting and interior-point algorithms for linear least squares problems with nonnegative variables 编写的相关算法。包含：active-set，principal pivoting algorithms,Newton s algorithm,predictor-corrector algorithm.对于解决非负最小二乘问题非常实用，注解简单，易于操
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实现样本功能的距离变换—linear-time algorithms for solving a class of problems that involve
transforming a cost function on a grid using spatial information.-linear-time algorithms for solving a class of problems that involve
transforming a cost function on
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matlab常用算法程序集，包括插值、函数逼近、矩阵特征值计算、数值微分、数值积分、方程求根、非线性方程组求解、解线性方程组的直接法、解线性方程组的迭代法，随机数生成、特殊函数计算、常微分方程的初值问题、偏微分方程的数值解法、数据统计和分析-matlab commonly used algorithm for assembly, including interpolation, function approximation, eigenvalue calculations, numerical
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