资源列表
1234
- 用来解一般的线性方程组！方程必须是未知数与方程个数相等的-Used to solve linear equations in general! Equation must be equal to the number of unknowns and equations
include
- 数值分析迭代法的编程分析-顺序对误差的影响-Numerical analysis of iterative method of programming- the impact of the error sequence
least-aquare
- 最小二乘算法，此算法对于压缩感知的OMP算法很有帮助-the least-square algorithm,this is helpful for OMP for compressed sensing.
dt
- 线性最小二乘法 运用中不需控件可直接运行输入数据即可-Least squares No controls used in the input data can be directly run
QR
- 矩阵的QR分解，编译执行，按提示操作输入矩阵的元素即可输出结果.- The QR factorization algorithm of matrix,compile and run,input the element according the suggestion,then you can have the desire result!
1.1
- 高等数学中初等函数的上课目的及本堂课的重点难点及教学方法等-Advanced mathematics classes in primary purpose and function of the key difficulties of this class and teaching methods
silnia2.c
- The program is computing factorial. It has been written for a class use. It shows use of pointers and allocating memory in C.
RECURSION
- this C++ source is basically can be used for understanding the basics of recursion.
series
- This source file can be used for generating different mathematical series.
electromagnetic-calculation
- 本文主要研究频域数值计算方法，可分为高频近似方法和低频数值方法。本文提出了在图形硬件上统一处理目标可见性判断和电磁散射计算框架，能够正确地判断可见棱边，并且真正实现了实时一阶高频电磁散射计算。 -This paper studies the frequency domain numerical methods, approximation methods can be divided into high and low frequency numerical methods. This pa
pattern-recognition
- 本文针对几种有代表性的流形学习算法进行了深入的研究，主要探讨了流形学习的框架理论相关研究及其在模式识别中的应用。 -In this paper, a representative of several manifold learning algorithms in-depth study, which focused on the theoretical framework of manifold learning research and its application in pattern
GPU-speedup
- 针对LA在解决大规模优化问题时需要消耗大量的时间无法达到实时性的问题，结合GPU的高速并行性，本文提出了一种基于GPU(Graphics Processing Unit，GPU)加速的细粒度并行免疫算法。本算法借助CUJDA(Compute Unifled Device Architecture，CUDA)统一架构，将实现过程转化成CUDA线程块并行计算过程，使得免疫算法在GPU中加速执行，在取得较好的优化效果的同时，解决了细粒度并行的群体规模限制问题，提高了算法的运行速度。-Solution