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The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods.
In h
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Mapack可用来做矩阵运算
Mapack is a .NET class library for basic linear algebra computations. It supports the following matrix operations and properties: Multiplication, Addition, Subtraction, Determinant, Norm1, Norm2, Frobenius Norm, Infinity Norm, Rank,
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提出了一种基于函数联接的感知器神经网络的纹理分类方法.它采用高斯2马尔柯夫随机场模型(GM RF)对纹理进行描述,模型参数即为纹理特征,参数估计采用最小平方误差方法获得.将估计参数作为表达纹理的特征向量,用感知器网络对特征进行分类,并且采用函数联接的方式解决线性不可分问题.对纹理图象进行的实验表明,采用这种方法能够提高学习速度,简化计算过程,并取得较好的纹理分类效果.
-Based on the function connected perceptron neural network tex
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Matlab的数值拟合和插值方法介绍，内有程序说明和算法介绍。主要对最小二乘，线性回归作了介绍-Matlab Numerical fitting and interpolation methods introduce, within the descr iption of the procedures and algorithms have introduction. Mainly on the least-squares, linear regression was introduced by
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最小二乘法 一元线性回归 最小二乘法 一元线性回归-Least squares linear regressionLeast squares linear regressionLeast squares linear regression
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线性方程组，非线性方程组，最小二乘拟合等数值算法的matlab实现。-Linear equations, nonlinear equations, numerical algorithm such as least-squares fitting of the realization of matlab.
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LAPACK是用Fortran90和规定套路解决系统同步线性方程组，最小二乘解线性方程组，特征值问题，以及奇异值问题。相关的矩阵分解（陆，乔莱斯基，快速反应，分解，舒尔，广义Schur ）也提供了，因为有关的计算，如重新安排的舒尔分解和估计条件号码。致密带状矩阵的处理，而不是一般稀疏矩阵。在所有领域，类似的功能是提供真正的和复杂的矩阵，在单，双精度-LAPACK is written in Fortran90 and provides routines for solving systems o
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采用CG法求解稀疏不对称的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems:
Solve Ax = b
or minimize || Ax- b ||2
or minimize || Ax- b ||2+ d2 ||x||2.
The matrix A may be squ
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The Kalman filter30 is a minimum-variance filter in which time-series measurements are incorporated recursively into estimates of state variables it is the optimal, Bayesian least-squares estimator for linear dynamic systems.-text
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The Kalman filter30 is a minimum-variance filter in
which time-series measurements are incorporated recursively
into estimates of state variables it is the
optimal, Bayesian least-squares estimator for linear
dynamic systems.-The Kalman filte
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The Kalman filter30 is a minimum-variance filter in
which time-series measurements are incorporated recursively
into estimates of state variables it is the
optimal, Bayesian least-squares estimator for linear
dynamic systems.-dd
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该算法建立了由最小二乘法,离散点曲率和离散点曲率变化和三项组成的目标函数并求出了最优控制点序列坐标,采用非线性优化方法对权因子序列进行了调整,确立了逼近误差的近似表示方法,并提出了包括上述方法的循环判断流程.-The algorithm was established by the least squares method, discrete points, the curvature and the curvature change and the three discrete points
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该算法建立了由最小二乘法,离散点曲率和离散点曲率变化和三项组成的目标函数并求出了最优控制点序列坐标,采用非线性优化方法对权因子序列进行了调整,确立了逼近误差的近似表示方法,并提出了包括上述方法的循环判断流程.-The algorithm was established by the least squares method, discrete points, the curvature and the curvature change and the three discrete points
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本书内容丰富且颇具特色。
本书综述了数值分析领域的诸多内容，包括配置多项式、有限差分、阶乘多项式、求和法、Newton公式、算子与配置多项式、祥条、密切多项式、TaylM多项式、插值、数值微分、数值积分、和与级数、差分方程、微分方程、最小二乘多项式逼近、极小化极大多项式逼近、有理函数逼近、三角逼近、非线性代数、线性方程组、线性规划、边值问题、MonteCarIo方法等内容。
本书的特色主要表现在利用例题及大量详细的题解来透彻地阐明所述内容的内涵，同时附有大量的补充题以便读者进一步巩固和深
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最小二乘线性拟合计算子程序，C51中可以直接使用，完美无误自己工作中使用，回馈pudn之作。-Least-squares linear fit calculation subroutine, C51 can be used directly, the perfect and correct their own work be used as the feedback pudn.
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一种车牌图像校正新方法
【摘要】因摄像机角度而造成的机动车牌图像倾斜会对其后继的字符分割与识别带来不利的影响。本文在分析了车牌倾斜模式的基础上,提出了一种基于最小二乘支持向量机（LS-SVM）的车牌图像倾斜校正新方法。通过LS-SVM线性回归算法求取坐标变换矩阵并对畸变图像进行旋转校正。主要方法：首先,将二值倾斜车牌图像中的像素转换为二维坐标样本,并构造图像数据集 再通过LS-SVM线性回归算法对该数据集进行回归,求取主要参数 最后,再由该参数转换为能反映图像倾斜方向的2维坐标变换矩阵。实验
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MATLAB 数值计算 入门 源码
² introduction to MATLAB
² linear equations
² interpolation
² zero ¯ nding
² least squares
² quadrature
² ordinary di® erential equations
² random numbers
² Fourier analys
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MATLAB中的优化算法集锦，包括遗传算法，线性规划，非线性最小二乘，最大最小问题等-Collection of MATLAB algorithms in the optimization, including genetic algorithms, linear programming, nonlinear least squares, maximum and minimum problems
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提供了一般和大型的非线性优化函数，同时还提供了线性规划，二次规划，非线性最小二乘以及非线性方程求解的工具。是SWF格式的，用单独的flash player打开，或者用任何一种网页浏览器打开即可。-Provides a general and large-scale nonlinear optimization function, and also provides a linear programming, quadratic programming, nonlinear least squar
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一元线性回归，用最小二乘法预测，已知期中期末成绩，构造函数由其中成绩预测期末成绩-Linear regression, using least squares prediction, known Midterm and final results, performance prediction constructor final grade by one
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