FENZHI

Python 科学计算 的好书,该书主要是在python环境下进行科学计算，非常的棒(Python scientific computing books, the book is mainly for scientific computing in python environment, is the bar)

利用楚列斯基分解法和平方根法分解对称矩阵，较为实用(use the Cholesky method and esquare-root method to solve the problem of Triangle decomposition of matrix)

计算材料学中用相场法模拟合金凝固相变的程序(Computational Materials Science using phase-field simulation of solidification phase change process)

用fortran语言编写的传统矩量法求解立方体的RCS的程序。(The fortran language prepared by the traditional method of moments for solving the cube RCS program.)

描述固体凝固的随机变化状态，为fortran语言，请自行下载对应编译器(describe solid phase status, as fortran lauguage, please download associated compiler)

使用Unscented Kalman Filter进行SLAM，主要用于机器人定位和地图自动绘制，UKF的效果要优于EKF，当然计算量也大些。(The Matlab code for SLAM using Unscented Kalman Filter, mainly used for robot localization and map building)

变分模态分解的python版本，个人根据MATLAB版本译制而成(Python version of variational mode decomposition)

Fortran常用算法程序集－第二版.pdf，很全的算法程序集，对提高Fortran编程能力大有帮助。(Fortran common algorithm assembly- Second Edition. Pdf, is the whole assembly algorithms, to improve the Fortran programming skills go a long way.)

LU decomposition program.

说明：  ADAM （Adaptive Moment Estimation）是另外一种自适应学习率算法，它结合动量梯度 下降法，在不同参数方向上采用不同学习率，保留前几次迭代的梯度，能够很好 的适应于稀疏数据。(ADAM (Adaptive Moment Estimation) is another adaptive learning rate algorithm, which combines momentum gradient. The descent method, which uses different learning rates in different parameter directions and retains the gradients of previous iterations, is very good. It is suitable for sparse data.)