shengxianchangdu

GPS卡尔曼滤波仿真 read eph_data (GPS Kalman filter simulation read eph_data)

％ 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)

自制的计算器，可实现加减运算，清除，后退等功能(Homemade calculator, can realize the addition and subtraction, clear, back, etc)

北京航空航天大学硕士研究生数值分析课的第一次大作业，用幂法反幂法求取矩阵的最大最小特征值(Minimum and maximum eigenvalue of the first graduate of Beijing University of Aeronautics and Astronautics numerical analysis class job, using the power method matrix inverse power law to strike)

先通过emd进行分解，然后求出边际谱，进行分析(First, the EMD is decomposed, and then the marginal spectrum is obtained)

说明：  贝叶斯网络学习算法——k2算法，包括对贝叶斯网络结构的学习，最后生成网络(Bayesian network learning algorithm- k2 algorithms, including Bayesian network structure learning, the last generation network)

用C++编写的大整数计算的模板，可实现加、减、乘、除、取模等运算，可以通过此源码学习高精度的实现。(Written with C++ template large integer can be realized addition, subtraction, multiplication, division, modulus and other operations, you can achieve high-precision study of this source.)

Maximum Flow Graph (Boykov Kolmogorov Algorithm)

一些很有用的数值计算程序：包括多种数值逼近算法的C语言程序，如龙格逼近算法，里米兹一致逼近算法等(Some very useful numerical calculation procedures: including a variety of numerical approximation algorithm for the C language program, such as the Runge approximation algorithm, where meads uniform approximation algorithm)

求非线性系统的相平面轨迹、平衡点时，编写采用一步仿真计算状态轨线斜率的函数M文件(Phase plane trajectory of nonlinear systems, the equilibrium point, write step simulation state rail line slope function M)