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pan-in77
详细画出了时域和频域的相关图，实现了图像的灰度化并进一步用于视频监视控，小波包分析提取振动信号中的特征频率。( Correlation diagram shown in detail the time domain and frequency domain, Achieve a grayscale image and further control for video surveillance, Wavelet packet analysis to extract vibration signal characteristic frequency.)
- 2017-03-21 19:32:56下载
- 积分：1
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newton_cpp
计算方法《牛顿差值》(calculation method, "Newton margin")
- 2005-01-25 21:40:20下载
- 积分：1
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Detection-of-Planetary-Gearboxes
考虑了静态传递误差，齿轮几何偏心的影响建立3平行轴齿轮啮合动力学模型(Consider the impact of static geometry eccentric transmission error, the establishment of three parallel shaft gear gear dynamics model)
- 2016-01-07 09:18:35下载
- 积分：1
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RNX2GTEX
说明： 将GNSS RINEX数据转换为电离层总电子含量(GTEX格式)(Convert GNSS RINEX data to Ionospheric Total Electron Content (GTEX format))
- 2020-10-08 12:12:21下载
- 积分：1
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牛顿迭代法求解非线性方程组
说明： 牛顿法又称牛顿-拉弗森方法（Newton-Raphson method），是一种在实数域和复数域上近似求解方程的方法。本程序收敛速度快，迭代步数可取大一些(Newton method, also known as Newton-Raphson method, is an approximate method for solving equations in real and complex fields. The program has fast convergence speed so the number of iteration steps can be larger.)
- 2019-05-13 21:08:38下载
- 积分：1
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277481
On the support vector machine (SVM) is a relatively quick calculation method, can improve the calculation speed
- 2017-05-13 06:24:09下载
- 积分：1
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最优化控制的算法，牛顿梯度法的源代码-Main_function
这里实现了一个最优化控制的算法，牛顿梯度法的源代码，运行于matlab平台下。(here to achieve optimization of a control algorithm, Newton gradient of the source code, which runs on Matlab platforms.)
- 2005-04-13 09:47:28下载
- 积分：1
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55875587Calculator
MFC做的计算器程序，可以实现加减乘除。平方，立方等功能(MFC to do calculator program can be achieved subtraction multiplication and division. Square, cubic and other functions)
- 2009-12-12 22:24:25下载
- 积分：1
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SVD
％ 奇异值分解 (sigular value decomposition,SVD) 是另一种正交矩阵分解法；SVD是最可靠的分解法，
％ 但是它比QR 分解法要花上近十倍的计算时间。[U,S,V]=svd(A)，其中U和V代表二个相互正交矩阵，
％ 而S代表一对角矩阵。 和QR分解法相同者， 原矩阵A不必为正方矩阵。
％ 使用SVD分解法的用途是解最小平方误差法和数据压缩。用svd分解法解线性方程组，在Quke2中就用这个来计算图形信息，性能相当的好。在计算线性方程组时，一些不能分解的矩阵或者严重病态矩阵的线性方程都能很好的得到解( Singular value decomposition (sigular value decomposition, SVD) is another orthogonal matrix decomposition method SVD decomposition is the most reliable method, but it takes more than QR decomposition near ten times the computing time. [U, S, V] = svd (A), in which U and V on behalf of two mutually orthogonal matrix, and the S on behalf of a diagonal matrix. And QR decomposition are the same, the original matrix A is no need for the square matrix. The use of SVD decomposition method are used as a solution of least squares error method and data compression. Using SVD decomposition solution of linear equations, in Quke2 on to use this information to calculate the graphics performance quite good. In the calculation of linear equations, some indecomposable matrix or serious pathological matrix of linear equations can be a very good solution)
- 2020-12-21 10:29:08下载
- 积分：1
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DERPAR
常微分方程求解的搜索延拓法，克服了Newton-Raphson法对初值问题影响过大的问题(Solving Ordinary Differential Equations search continuation method to overcome the Newton-Raphson method for initial value problem of the impact of the problem is too large)
- 2007-11-06 22:31:59下载
- 积分：1
