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最小二乘法 一元线性回归 最小小二乘法 一元线性回归
-The method of least squares linear regression most small squares linear regression
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近场信号源估计的源代码，基于线性预测理论的最小二乘准则代码，music，esprit和LS的部分代码-Near-field source estimates the source code, based on linear prediction theory, least squares criterion code, music, esprit and LS code
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使用最小二乘法来实现对输入的点进行直线拟合，-Using the least squares method to achieve the linear fitting of the input point,
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可输入多组数据，最小二乘法拟合直线方程。并可以验证其误差-Multiple sets of data can be entered, least-squares fitting a linear equation. And can verify its error
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二分类问题采用包括逻辑回归、最小二乘法、感知器算法（按下space不断迭代）、svm线性分类，另外还有高斯分线性分类（待完善），针对平面上两类点进行分类-Second classification using logistic regression, the method of least squares, perception algorithm (Press space iteratively) svm linear classification, in addition to the Ga
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工程线形拟合中，圆曲线最小二乘法拟合计算方法-Engineering linear fitting, round curves least squares fit
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LAPACK, version 3.4.2
LAPACK is written in Fortran 90 and provides routines for solving systems of simultaneous linear equations, least-squares solutions of linear systems of equations, eigenvalue problems, and singular value problems.
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无约束一维极值/无约束多维极值/约束优化/非线性最小二乘优化/线性规划/整数规划/二次规划/遗传优化算法等对应的matlab程序-Unconstrained one-dimensional extremal/unconstrained multidimensional the pole/constrained optimization/nonlinear least squares optimization/linear programming/integer programming/Quadr
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GNU Scientific Library (GSL) 是一个用于科学计算的 C 语言类库。有超过1000个函数。
该类库提供了关于数学计算的很多方面，包括：
Complex Numbers Roots of Polynomials
Special Functions Vectors and Matrices
Permutations Sorting
BLAS Support Linear Algebra
Eigensystems Fast Fourier
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基于vc++6.0实现线性偏最小二乘方法的源码文件-Vc++6.0 to achieve linear partial least squares algorithm source code
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用切比雪夫多项式逼近已知函数
用勒让德多项式逼近已知函数
用帕德形式的有理分式逼近已知函数
用列梅兹算法确定函数的最佳一致逼近多项式
求已知函数的最佳平方逼近多项式
用傅立叶级数逼近已知的连续周期函数
离散周期数据点的傅立叶逼近
用自适应分段线性法逼近已知函数
用自适应样条逼近（第一类）已知函数
离散试验数据点的多项式曲线拟合
离散试验数据点的线性最小二乘拟合
离散试验数据点的正交多项式最小二乘拟合
-By using Chebyshev poly
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vb6.0编写的最小二乘法直线拟合、二次曲面拟合程序，线性方程组采用列主元高斯消去法。-vb6.0 prepared by the method of least squares fitting a straight line, the quadratic surface fitting procedure, linear equations using Gaussian elimination main-element.
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This paper considers issues related to multiple structural changes, occurring at unknown dates, in the linear regression model estimated by least squares.
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image processing,affine transformations which is a kind of linear transformations. This model deals with matrix operation and multiplication. It can be counted as non-isotropic scaling that working by simple least squares estimate of transformation
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最小二乘回归法（PLSR：partial least squares regression)：是一种新型的多元统计数据分析方法，它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。-Least squares regression (PLSR: partial least squares regression): a new type of multivariate statistica
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主要描述Matlab优化实例。主要包括线性规划问题、foptions函数、非线性规划问题、“半无限”有约束的多元函数最优解、极小化极大（Minmax）问题、多目标规划问题、最小二乘最优问题和非线性方程(组)求解。-The main descr iption Matlab optimization instance. Mainly include linear programming problem, function foptions, nonlinear programming problem
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我们处理数据时，往往需要事先知道这些数据的规律（如线性），然后再进行相应阶数的最小二乘法拟合，本文试图在不知道拟合阶数的情况下通过程序计算拟合阶数。-We handle the data, the data often need to know in advance the rules (such as linear), and then make the appropriate order of the least squares fit, this article attempts to f
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dna分类 2000数学建模a题 线性回归 最小二乘法 函数定义-dna Category 2000 issue of mathematical modeling a least squares linear regression function definition
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求解大型系数矩阵方程的最小二乘解，包括实数方程组和复数方程组。来自斯坦福Systems Optimization Laboratory- Implementation of a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems
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matlab 最小二乘法线性分类器设计功能及其应用。-matlab least squares linear classifier design
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