program

用Monte-Carlo方法解决二维Ising模型(Monte-Carlo method used to solve two-dimensional Ising model)

level set method in fortran.基本控制方程离散求解。(level set method)

％ 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)

c/C++跟fortran语言之间的一些转换(c/C fortran language with the conversion between)

牛顿迭代法求解非线性代数方程组的主要思想是将非线性函数线性化(Newton iteration method for solving nonlinear algebraic equations nonlinear function of the main idea is to linear)

对相干信号进行方位估计，使用TOEPLITZ矩阵进行解相干，music算法进行DOA估计(Estimation of the azimuth of coherent signals, decoherence using TOEPLITZ matrix and music algorithm for DOA estimation)

comsol仿真的学习教程，有助于初学者深度掌握comsol的 基本使用(Comsol simulation course is helpful for beginners to master the basic usage of COMSOL)

比较JPLDE405的切比雪夫系数导出的位置与低精度月球坐标分析。(Comparative Analysis of JPL DE405 cut Chebyshev coefficients derived position with low accuracy lunar coordinates.)

很好用的有关矩阵的各种操作，包括求逆，特征值，特征向量，svd分解等(good part of the matrix of various operations including inverse, eigenvalues, eigenvectors, svd decomposition, etc.)

mumford source code........