资源列表
sf10059
- 一个有用的无损压缩原码用于文件中二进制位操作的函数说明,函数实现,错误处理以及内存中的函数实现-a useful lossless compression code for the original document binary operation of the function that function to achieve, error handling and memory functions to achieve
quxiannihe
- 已知两个点要求用插值的方法绘制拟和的曲线 此文件是拟和飞机下降曲线-known two-point demand of the interpolation method to draw the curve and this document is intended to be, and aircraft dropped curve
200592110402942
- 本压缩包包含了C-编译器的设计文档与源代码，供学习参考。-the compressed contains C-Compiler design documents and source code for the study reference.
用于数据流压缩的huffman算法源代码
- 用于数据流压缩的huffman算法源代码-data flow for the Huffman compression algorithm source code
tridiag
- 追赶法求解三对角矩阵是数值算法中重要的一种,这个利用了求借热传导方程-chased solve three-diagonal matrix numerical algorithm is an important, the use of the demand by heat conduction equation
泰勒级数展开
- 用来进行泰勒级数展开运算，可以直观的看到图形-used for computing Taylor series expansion, intuitive graphical see
linktostack
- 用链表实现栈的操作.该程序有栈的进栈和出栈操作.很简单.这是本人第一次上传程序源代码,如有什么不足之处还望各位多多海涵.-used to achieve stack operation. The program is the stack into the stack and stack up operation. Very simple. This is the first time I uploaded the source code, if there are any deficiencie
somtoolbox3
- SOM算法,matlab程序,是经典的教科书的例子程序-SOM algorithm, Matlab procedures, are classic textbook example of procedures
chcp
- 图论算法，旅行推销员问题，很有趣。 可算出图中的哈米尔顿回路-graph algorithm, traveling salesman problem, very interesting. Map can be calculated totally dominated the circuit
KMEANS聚类
- knn分类模式识别可用于文本挖掘和其他的识别分类,vc代码,-Commission pattern recognition can be used for classification of text mining and other identification classification, vc code,
matlab作业
- 模式识别一份很好的作业,包括线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
bpxor
- BP算法实现异或问题,采用S型函数的前向多层神经网络及其逆推学习算法-BP algorithm differences or problems, use of the S-Function to the multilayer neural networks and learning algorithms Backstepping