Description: 最速下降法又称为梯度法,是1847 年由著名数学家Cauchy 给出的,它是解析法中最古老的一种,其他解析方法或是它的变形,或是受它的启发而得到的,因此它是最优化方法的基础。作为一种基本的算法,他在最优化方法中占有重要地位。-The steepest descent method called gradient method, is 1847 by famous mathematician Cauchy given, it is the most ancient of analytical method, other analytical methods or its deformation, or inspired by it for, and thus it is the foundation of optimization method. As one of the basic algorithm, he in optimization method plays an important role. Platform: |
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Author:兰中周 |
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Description: 用共轭梯度法解线性方程组解决解析方法解不了的方程。-Conjugate gradient method for solving linear equations to solve the analytical method solution of the equation can not Platform: |
Size: 1024 |
Author:闫小凡 |
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Description: 最速下降法又称为梯度法,是1847 年由著名数学家Cauchy 给出的,它是解析法中最古老的一种,其他解析方法或是它的变形,或是受它的启发而得到的,因此它是最优化方法的基础。这里给出其Matlab源程序。-The steepest descent method, also known as gradient method, was in 1847 given by the famous mathematician Cauchy, it is the oldest analytical method one, other analytical method or its variants, or inspired by it obtained and therefore it is the basis for the optimization method. Here are its Matlab source. Platform: |
Size: 1024 |
Author:lucy |
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Description: Edge Detection in Potential-Field Gradient Tensor Data by Use of Improved Horizontal Analytical Signal Methods Platform: |
Size: 4530176 |
Author:yy123456789 |
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Description: 使用梯度下降法和解析法实现的线性回归算法。-Gradient descent algorithm using the linear regression method and analytical method to achieve. Platform: |
Size: 2048 |
Author:byuqjf |
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Description: The following code allows you to optimize non-linear functions using the algorithm of newton raphson. Analytical derivatives are used, the gradient and the Hessian matrix of the function to find maxima and minima. Two examples are provided, one basic and one advanced. Platform: |
Size: 1981 |
Author:franciscososasotomayor123 |
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