最小平方解 最小平方问题 (least squares problem) 为线性方程式系统 (1 ) 如果此系统为一致性， 我们可以使用高斯消去法 与反代法来解 x b x = A 1 1 × × × m n n m (2) “ ” 当...
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Meschach可以解稠密或稀疏线性方程组、计算特征值和特征向量和解最小平方问题，另外还有其它功能。
Meschach was designed to solve systems of dense or sparse linear equations, compute eigenvalues and eigenvectors, and solve least squares problems, among other things.
然后将其与地震子波褶积，使其求解结果与实际地震数据的最小平方问题归结为求解一大型稀疏矩阵方程，并采用奇异位分解法求解。
The least square problem of the convolution result and real seismic data can be considered as the solution of a huge rarefactional matrix equation, which can be solved by singular value decomposition.
以最小化问题估算参数-最小平方法介绍，机率论介绍，条件机率及联合机率，统计无关。
Parameter estimation as minimization - intro to method of least squares, introduction to probability theory, conditional and joint probabilities, statistical independence.
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