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有限元方法和计算流体力学的经典教材，内容很不错(Finite Element Method- Fluid Dynamics- Zienkwicz and Taylor)

这是python一个数学计算库，非常有用，而且python在处理科学计算时经常会用到它(This is a mathematical calculation python library is very useful, but when dealing with scientific computing python often use it)

cressman格点插到格点程序，从一个场插值出另一个分辨率不同的场(interpolates fields to another grid as specified )

利用五点差分格式和Jacobi迭代法，求解精确解和数值解的误差，判断阶数是否正确(Five-point difference scheme and Jacobi iteration method are used to solve the error between exact solution and numerical solution and to judge whether the order is correct or not.)

频域二维卷积算法，通过在频域用fft计算，加速了卷积的实现过程(Frequency domain of two-dimensional convolution algorithm, by calculating the frequency domain using fft and accelerate the realization of the convolution process)

说明：  算法设计第三版，算法设计第三版，算法设计第三版，算法设计第三版(Algorithm Design Third Edition)

说明：  最速下降法就是梯度下降法,可以用于求解最小二乘问题(线性和非线性都可以)。可以说是求解机器算法的最古老、最经典的模型，另一种常用的方法是最小二乘法。(The steepest descent method is the gradient descent method, which can be used to solve the least squares problem (both linear and non-linear). It can be said that it is the oldest and most classical model for solving machine algorithm. Another commonly used method is the least square method.)

the structure of the DG-FEM is very similar to that of the finite element method (FEM), there are several fundamental differences. In particular, the mass matrix is local rather than global and thus can be inverted at very little cost, yielding a semidiscrete scheme that is explicit. Furthermore, by carefully designing the numerical flux to reflect the underlying dynamics, one has more flexibility than in the classic FEM to ensure stability for wavedominated problems. Compared with the FVM, the DG-FEM overcomes the key limitation on achieving high-order accuracy on general grids by enabling this through the local element-based basis

使用经典R/S方法计算赫斯特指数，以衡量数据的分型特性(using R/S method to caculate the Hurst exponent)

数值计算资料 13个独立的实验，涉及矩阵、微积分、统计等等(numerical calculation)