搜索资源列表
AutoProgram
- “整体叶轮五轴联动数控加工自动编程”，只要用Microsoft Access(数据库）软件把叶轮的截面数据建成表，并输入叶轮的基本尺寸，就可以自动生成叶轮的数控加工程序。-"impeller overall 5-axis NC machining automatic programming" as long as Microsoft Access (database) software onto the impeller section data into tables, t
Matrice2
- 法国cromda编写的新版本MATRICE 2（矩阵和矢量运算单元）。 // ---------------------------------------------------------- // 12-01-02 : MODIFIED Matrice to Matrice2 (Delphi 6) // All routines now operate on rectangular matrix, except (InvMat and SysLin) // No
Scrap
- The speech signal contains rich messages, and three main recognition fields from speech signal, which are of most interest and have been studied for several decades, are speech recognition, language recognition and speaker recognition. In this the fo
dim
- 这是一个用来计算一条曲线的分维数的程序。-fractal dimensions
matrix_mpi
- Multiplication of matrices of size and MxK HxM. ALL shipment must be made without blocking! Managing the process: 1. Asks for the dimensions of matrices M, K, N. 2. Produces dynamic formation and filling of matrix operands. 3. Prepares
Hier-Cube_4.49
- Easy and time-proved VCL OLAP components for creating OLAP applications in Delphi and C++ Builder. Works with a data source like a flat fact table that makes it easier to configure cube structure. Supports composite (multilevel) and hierarchical dime
hilbert3
- 三维Hilbert曲线绘制,能在三维空间中绘制出Hilbert曲线-Hibert curver in three dimensions
IAPWS_IF97
- IAPWS_IF97(FUN,IN1,IN2) is 104 functions of water properties and derivatives, based on the International Association on Properties of Water and Steam (http://www.iapws.org). Thermodynamic, hydrodynamic and non-linear modeling often requires thermodyn
boxcount
- 分形计算的程序 盒子算法 非常有用的算法 大家可以试试看 可以的就用吧 -Box-counting dimension for the matlab procedure, can calculate the dimensions, using the box dimension method
fftn
- n维傅里叶变换，可以实现任意的维数的傅里叶变换-n-dimensional Fourier transform, can implement any number of dimensions of the Fourier transform
N-sparse
- 创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。-Cr
bzXY
- 动态标注Xy坐标插件 可以随着点位的移动随时改变Xy值-Dynamic Dimensions Xy coordinate with the movement of the plug can be changed at any time point Xy value
bddtapi
- 通过调用百度api 实现手机gps数据转化成百度精度和维度和实际地址，附带了一个json 非静态版的易语言支持库 和一个功能很强大的网页访问模块。-Baidu api achieved by calling the phone gps data into Baidu accuracy and dimensions and the actual address, with a non-static version of a json easy language support library an
fcm001
- 数据的归一化程序，用于任何维数数据的归一化或标准化，程序简单易懂，可直接运行。-Normalization program data for any number of dimensions of data normalization or standardization of procedures easy to understand, can be run directly.
normalize
- 数据的归一化程序，用于任何维数数据的归一化或标准化，两个程序都简单易懂，可直接运行。-Normalization program data for any number of dimensions of data normalization or standardization, both programs are simple to understand and can be run directly.
Matrix_add
- 此程序使用CUDA并行语言完成矩阵的加法。矩阵维数为3×3矩阵。矩阵维数可以更改。但是同时矩阵的处置也要手动设置。-This program uses the CUDA parallel language to complete the addition matrix. 33 matrix matrix dimensions. You can change the dimension of the matrix. However, while the disposal of the matrix
plas
- EXEMPLE OF A CONCRETE SQUARE SECTION WITH 4 STEEL 20mm BARS CONCRETE DIMENSIONS: (0.25*0.25)m2 - ALL SECTION (0.20*0.20)m2 - CORE SECTION TRANSVERSAL REINFORCEMENT: 10mm Bars / 7.0cm NOVEMBER 1993
LabviewExample4LIBSVM
- This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn
svm1
- This little package contains a Parzen Neural Network classifier that can classify data between N classes in D dimensions. The classifier is really fast and simple to learn
Max-min
- 创建一个数组，确定数组的维数和元素的个数及数值大小，确定最大和最小索引值后，在数组中寻找到最小值和最大值，并显示出来-Create an array, to determine the dimensions of the array and the number of elements and numerical size, determine the index of maximum and minimum values, find the minimum and maximum values