0_feature_standar_rf

说明：  N体问题，它是指在已知N个物体的初始位置、速度和质量的情况下，在牛顿经典力学情况下研究它们的运动，包括轨迹预测等。(Back to the specific N-body problem, it refers to the study of the motion of n-bodies in Newtonian classical mechanics, including trajectory prediction, when the initial position, velocity and mass of n-bodies are known.)

此程序包的矩阵求逆函数基于 CUDA 的实现包含对称的积极明确逆矩阵使用 GPU。用法，请参阅 testspd.cpp 中的示例。此外，一般块矩阵求逆通过高斯(pivotting) 没有消除。请参阅 testge.cpp 例如使用。注： GE 可能无法在单精度足够稳定。请参阅生成文件更改为双精度。

cuda内存管理 很有用的一个教程 希望有帮助(cuda memory management)

用C语言编写的并行计算π值的代码，并附多次运算结果的分析和比较(Using C language code for parallel computing π value, along with many of the analysis and comparison of operation results)

用CUDA的SAR面目标回波生成的代码。(Multiple points SAR echo simulation Algorithm based on GPU via CUDA)

opemmp c-c++ document

compilateur de code source

说明：  深度学习的中文版本，里面详细介绍了深度学习的各种算法，其中还有一些用到的基础内容，例如矩阵和向量的范数(Chinese version of the depth of learning, which detailed the depth of learning algorithms, some of which used the basics, such as vector and matrix norm)

cuda官方代码，关于数据拷贝的带宽测试(cuda official code, copy data bandwidth on test)

一本将基于近邻传播算法的半监督聚类的算方法书.对于聚类研究的很有帮助(Abstract: A semi-supervised clustering method based on affinity propagation (AP) algorithm is proposed in this paper. AP takes as input measures of similarity between pairs of data points. AP is an efficient and fast clustering algorithm for large dataset compared with the existing clustering algorithms, such as K-center clustering. But for the datasets with complex cluster structures, it cannot produce good clustering results. It can improve the clustering performance of AP by using the priori known labeled data or pairwise constraints to adjust the similarity matrix. Experimental results show that such method indeed reaches its goal for complex datasets, and this method outperforms the comparative methods when there are a large number of pairwise constraints. )