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sou-V6.2
BP神经网络用于函数拟合与模式识别，研究生时的现代信号处理的作业，包括数据分析、绘图等等。( BP neural network function fitting and pattern recognition, Modern signal processing jobs when the graduate, Data analysis, plotting, etc..)
- 2017-05-15 16:43:00下载
- 积分：1
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Chapter02.Interpolation
清华大学《数值分析A》－第02章.插值
Lagrange
Newton
Hermite
三次样条(Tsinghua University, )
- 2008-07-16 11:22:14下载
- 积分：1
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PGS
Point Gauss Seidel method by fortran. CFD KLAUS A. HOFFMAN
- 2015-04-09 14:01:52下载
- 积分：1
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thin_plate
薄板样条，一种很好的拟合曲线的方法。是最近比较常用的拟合方法。(thin plate spline is so nice fitting method.
Features:
(1) support arbitrary control points
(2) allow regularization
(3) estimate the warp parameters from corresponding pairs
)
- 2009-03-13 15:32:13下载
- 积分：1
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M_rls
该程序是一种最小二乘滤波算法的matlab实现程序，主要应用于非平稳信号的干扰抑制中(The program is a least squares filtering algorithm matlab implementation program, mainly used in non-stationary signal interference suppression in)
- 2013-04-12 12:29:42下载
- 积分：1
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Approximations_Finite_Element_Methods
In this section we introduce the idea of Galerkin approximations by considering
a simple 1-d boundary value problem
- 2018-01-01 08:47:19下载
- 积分：1
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bycgste
共轭梯度法（Conjugate Gradient）是介于最速下降法与牛顿法之间的一个方法，它仅需利用一阶导数信息，但克服了最速下降法收敛慢的缺点，又避免了牛顿法需要存储和计算Hesse矩阵并求逆的缺点，共轭梯度法不仅是解决大型线性方程组最有用的方法之一，也是解大型非线性最优化最有效的算法之一(Conjugate gradient method (Conjugate Gradient) is between the steepest descent method and Newton' s method between a method that takes only a first derivative information, but to overcome the slow convergence of the steepest descent method shortcomings, but also avoid the need to store Newton and computing the inverse Hesse matrix and disadvantages, conjugate gradient method is not only to solve large linear equations of the most useful methods, large-scale nonlinear optimization solution is the most efficient algorithms)
- 2013-09-13 16:33:21下载
- 积分：1
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DAVAR
用于计算Davar，较为方便，用于allan方差的初步学习(Used to calculate Davar, more convenient for the Allan variance of the preliminary study)
- 2013-04-17 13:44:46下载
- 积分：1
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An-efficient-augmented-
基于经典的增广拉格朗日乘子法, 对求解一类带有特定结构（主要是针对凸规划）的非光滑等式约束优化问题, 我们提出、分析并测试了一个新算法. 在极小化增广拉格朗日函数的每一步迭代中, 该算法有效结合了带有非单调线性搜索的交替方向技术, 我们建立了算法的收敛性, 并用它来求解在带有全变差正则化的图像恢复问题.(Based on the classic augmented Lagrangian multiplier method, we propose, analyze and test an algorithm for solving a class of equality-constrained nonsmooth optimization problems (chiefly but not necessarily convex programs) with
a particular structure. The algorithm effectively combines an alternating direction
technique with a nonmonotone line search to minimize the augmented Lagrangian
function at each iteration. We establish convergence for this algorithm, and apply it
to solving problems in image reconstruction with total variation regularization.)
- 2017-01-05 15:54:19下载
- 积分：1
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diagnosis
计算几个复杂的天气诊断指数，最大对流稳定度指数，下沉对流有效位能，风暴强度指数等(The complexity of calculating the number of diagnosis index of the weather, the largest index of convective stability, subsidence CAPE, storm intensity index)
- 2009-04-28 18:45:00下载
- 积分：1
