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RationalComplex Matrix calculator
说明： Matrix multiplication explained in detail for C++
- 2020-08-31 03:09:28下载
- 积分：1
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zyp
计算各种气象物理量，包括散度、涡度、螺旋度、垂直速度、水汽通量、比湿、假相当位温、k指数等的grads 程序，(Calculate various meteorological physical quantity, including divergence, vorticity, helicity, vertical velocity, water vapor flux, specific humidity, pseudo-equivalent temperature, k index grads program,)
- 2021-05-07 18:01:36下载
- 积分：1
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Window_moving_iteration
重力勘探多次滑动平均方法。给出地址参数，建立网格模型，按网格进行滑动平均。得到平滑后的重力数据。可以去噪。(gravity window moving iteration)
- 2011-12-15 23:03:58下载
- 积分：1
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bp.example
采用动量梯度下降算法训练BP网络，采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络(Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (trainbr), to facilitate the training of BP network)
- 2009-01-18 20:49:24下载
- 积分：1
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EM
自己编写的期望最大化（EM）算法的MATLAB实现，里面有较为运行方法和程序说明，对新手有很好的帮助(
I have written the expectation-maximization (EM) algorithm in MATLAB, which has run more methods and procedures described, there is a good help for the novice)
- 2014-02-09 17:12:01下载
- 积分：1
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FFT
FFT快速傅立叶变换，DSP实际例子，学习的一手好资料。放进CCS仿真(FFT Fast Fourier transform, DSP practical examples)
- 2016-06-18 15:18:53下载
- 积分：1
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JDJSQ
这是一个最最简单计算器，提供给大家参考一下(dadasddasdasd fafdsafasfafad)
- 2012-03-16 15:48:54下载
- 积分：1
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supervisedWSD
利用贝叶斯分类原理实现多义词的消歧。首先利用训练语料进行训练，然后基于机器已经获取的知识的基础上对生语料进行词义标注。(Realize the principle of the use of Bayesian classification polysemous word sense disambiguation. First of all, the use of training corpus for training, and then the machine has been based on knowledge gained on the basis of corpus for semantic tagging of Health.)
- 2008-05-15 19:04:24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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FiniteElementAnalysis-(Abaqus)
这是一本关于大型有限元模拟软件ABAQUS的英语书籍，从入门介绍到应用实例，还可以学习英文。如果你需要你一定会喜欢的。(English contents: 1. Introduction 2.Bar Element 3.Beam Element 4.Rigid Jointed Frames 5.Stress and Strain Analysis 6.Weighted Residual Methods 7.Finite Element Approximation 8.Numerical Integration 9.Plane Problems 10.Axisymmetric Problems 11.Thin and Thick Plates )
- 2014-10-31 15:13:39下载
- 积分：1
