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Matrix.设计一个造成矩阵类Matrix
- 设计一个造成矩阵类Matrix，包含一个元素类型为int的二维数组，分别设计一个静态方法和实例方法把矩阵转置，分别设计静态方法和实例方法实现二个矩阵相加、相乘。重写方法toString()，使其能输出此矩阵。,Caused by the design of a matrix of type Matrix, contains an element type for the two-dimensional array of int, respectively, to design a static
LED00001.rar
- 该LED点阵显示模块采用AT89C52控制。可显示汉字、图形、动画及英文字符等；显示方式有静态、横向滚动、垂直滚动和翻页显示等。单块模块控制驱动12块（最多可控制24块）8X8点阵，共16X48点阵（或32X48点阵），是单块MAX7219（或PS7219、HD7279、ZLG7289及8279等类似LED显示驱动模块）的12倍（或24倍）！可采用“级联”的方式组成任意点阵大显示屏。显示效果好，功耗小，且比采用MAX7219电路的成本更低。能帮助你更好的学习单片机。,The LED dot ma
led00002.rar
- 有一个点阵的资料 该LED点阵显示模块采用AT89C52控制。可显示汉字、图形、动画及英文字符等；显示方式有静态、横向滚动、垂直滚动和翻页显示等。单块模块控制驱动12块（最多可控制24块）8X8点阵，共16X48点阵（或32X48点阵），是单块MAX7219（或PS7219、HD7279、ZLG7289及8279等类似LED显示驱动模块）的12倍（或24倍）！可采用“级联”的方式组成任意点阵大显示屏。显示效果好，功耗小，且比采用MAX7219电路的成本更低。,Have a dot-matr
FPGA-matrix
- 本资料介绍了如何用FPGA实现矩阵的求逆，并用HDL语言实现-this material is about to introduce a way to compute the inverse matrix based on FPGA HDL langwedge
Matrix
- 这是一个自己编制的完整矩阵类，包括矩阵运算、分解、求逆、范数和特征值等，可以做为数值分析的基础类。-This is a complete matrix of their own class preparation, including matrix computation, decomposition, inverse, norm and eigenvalue, etc., can be used as the basis for numerical analysis class.
Matrix
- 关于矩阵运算的各种数值算法，包括实（复）矩阵求逆，对称正定矩阵与托伯利兹矩阵的求逆，线性方程组的常用解法，矩阵的各种分解方法，特征向量与特征值的求解等等。-Matrix operations on a variety of numerical algorithms, including the real (complex) matrix inversion,托伯利兹symmetric positive definite matrix and matrix inversion, linear eq
Matrix
- C#的程序,已经做好的了,就一简单的C#矩阵连乘的小程序，连界面程序源码都在的了-C# Procedures have been carried out of the, on a simple C# Matrix even by a small program, and even source interface procedures are of the
Matrix
- 一些矩阵运算的函数，包括两个矩阵相加，两个矩阵相减，两个矩阵相乘，矩阵复制，矩阵求逆的全选主员高斯-约当法，矩阵的三角分解(LU分解)，求Hessenberg矩阵全部特征根的QR法，约化一般实矩阵为Hessenberg矩阵的初等相似变换-A function of a number of matrix operations, including the sum of two matrices, subtract two matrices, the two matrices, matrix dup
matrix
- 矩阵运算可以实现矩阵运算的常见功能，方程组求解等功能。-C# Matrix type, you can realize a common matrix calculation functions, equation solving functions.-C# Matrix type, you can realize a common matrix calculation functions, equation solving functions.
Matrix
- ACM习题矩阵乘方和的源代码,C++实现-Involution matrix and the source code, C++ to achieve
work
- QR factorization of an m × n matrix A with m ≥ n is a pair of matrices A = QR
matrix
- 编写一个程序完成矩阵的乘法运算，要求1. 输入矩阵的阶数n（假设矩阵是方阵，即行列相等）； 2. 输入矩阵的每个分量-Completion of the preparation of a matrix multiplication, 1. Enter the order of matrix n (assume that is a square matrix, that is, the ranks of the same) 2. Input matrix of each component
art
- 用于解反问题的代数重建法，对于Ax=b，输入矩阵A，列向量b，以及迭代步数k，可求的列向量x-Algebraic solution of the inverse problem for the reconstruction of France, for Ax = b, the input matrix A, the column vector b, as well as the number of iterations k, rectifiable column vector x
Matrix
- It is a underlying C++ source code for Matrix function. I have developed a class Matrix which has different fuctions like multiplication addition, subtraction, transpose for N X N dimensional matrix. Determinant and cofactor will be added and already
EIGENR
- SUBROUTINE TO FIND ALL REAL EIGENVALUES & EIGENVECTORS OF A REAL MATRIX [A]nxn 1. Characteristic Polynomial by the Leverrier Method 2. Eigenvalues (roots) of the Characteristic Polynomial by the Bairstow Method 3. Eigenvectors by t
Matrix
- a good paper introducing Fisher Information matrix-A User Manual for the Fisher Information Matrix
Matrix
- MFC实现计算器和矩阵运算，可以进行简单的加减乘除，还有矩阵的转置-Calculator and matrix operations use MFC，Can be a simple addition and subtraction multiplication and division
matrix-switch-MCU
- 利用单片机实现多路矩阵切换,比较详细的设计方案。-The use of multi-channel matrix switch MCU, a more detailed design.
Matrix
- Matrix (TRANSPOSE , INVERSE , MATRIX INVERSION USING GAUSS-JORDAN REDUCTION AND Calculates the multiplication of two matrix A and B such that C=AB.
matrix
- 矩阵乘法 给定两个矩阵 A 和 B,其中 A 是具有 M 行、K 列的矩阵, B 为 K 行、N 列的矩阵, A 和 B 的矩阵积为矩阵 C, C 为 M 行、N 列。矩阵 C 中第 i 行、第 j 列的元素 Cij 就是矩阵 A 第 i 行每个元素和矩阵 B 第 j 列每个元素乘积的和,即 要求:每个 Ci j 的计算用一个独立的工作线程,因此它将会涉及生成 M×N 个工作线程。主 线程(或称为父线程)将初始化矩阵 A 和 B,并分配足够的内存给矩阵 C,它将容纳矩阵 A 和 B