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excel_in_civil_egineering
- 工量预测.xls 截面扭转特性.xls 截面特性一.xls 截面特性二.xls 最优化问题.xls 最值问题.xls 牛顿法解方程.xls 矩阵运算.xls 线性拟合.xls 解线性方程组.xls 解线性方程组（二）.xls 辛普森法积分.xls 频率与振型求解.xls 双变量模拟运算.xls 多元线性回归.xls 多项式拟合.xls 实例1.xls 实例2.xls 实例3.xls
LSQR
- 采用CG法求解稀疏不对称的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations and sparse least-squares problems: Solve Ax = b or minimize || Ax- b ||2 or minimize || Ax- b ||2+ d2 ||x||2. The matrix A may be squ
MINRES
- 采用CG法求解稀疏对称奇异矩阵得到的Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations: Solve Ax = b or (A- sI)x = b. The matrix A- sI must be symmetric but it may be definite or indefinite or singular. The scalar s is a
SYMMLQ
- 采用CG法求解稀疏对称非奇异矩阵得到的线性系统Ax=b-Implementation of a conjugate-gradient type method for solving sparse linear equations: Solve Ax = b or (A- sI)x = b. The matrix A- sI must be symmetric and nonsingular, but it may be definite or indefinite. The scal
solve
- solve程序是一个实现了A*X=B矩阵运算的一个程序，代码效率高，很好很强大-solve program is an implementation of A* X = B matrix operations of a program, code efficiency, very good very strong
work
- matlab 关于association rule 的自己写的函数，有3个文件, association.m：h = association(m, i, j) i=>j, m是数据，h是support和confidence，该函数只适用于单个数据 ass_item: h=ass_itset(m, a, b) 同上，但是可用于多个数据（m为数组） assrule: h = assrule(m, threshold1, threshold2) 该函数用于c
directed_network
- 以邻接矩阵的方式确定有向网，完成： A．建立并显示出它的邻接链表； B．以非递归方式进行深度优先遍历，显示遍历的结果，（并随时显示栈的入出情况）； C．对该图进行拓补排序，显示拓补排序的结果，并随时显示入度域的变化情况； D．给出某一确定顶点到所有其他顶点的最短路径-Adjacency matrix to determine a directed network, the completion of: A. To establish and demonstrate its adj
dctcode
- B = irdct2(A) returns the two-dimensional inverse discrete cosine transform of A. The matrix B is the same size as A and contains the discrete cosine transform coefficients B(k1,k2).
juzhen
- 用C++实现稀疏矩阵A和稀疏矩阵B的相加-Using C++, sparse matrix A and the sparse matrix B, add
5-2
- 用三元组存放输入的两个稀疏矩阵A34和B34，将稀疏矩阵A转置后与稀疏矩阵B相乘，结果存放三元组C，并输出结果-The triples store of the two input sparse matrix A34 and B34, the sparse matrix A transpose sparse matrix B after multiplying the result stored triple C, and output
5-3
- 输入并建立两个稀疏矩阵A和B的十字链表, 输出稀疏矩阵, 两完成两稀疏矩阵的加法运算,结果存放在稀疏矩阵A中, 要求相加结果为0的元素从结果稀疏矩阵的十字链表中删除, 输出A稀疏矩阵-Input and the establishment of two sparse matrices A and B, cross linked, the output matrix, the two completed the addition of two sparse matrix computation,
yakebi
- 对线性方程组进行求解，可以从键盘上输入A和B两个矩阵，然后即返回结的结果-For solving linear equations, the keyboard input from A and B two matrix, then return and results
pls_copy
- 这是一个非线性回归偏最小二乘程序，输入因变量与自变量，输出为x，y的主成分与负荷因子与回归系数- Inputs: x x matrix y y matrix Outputs: t score for x p loading for x u score for y q loading for y b regression coefficient
fconv
- FFTD(T) performs a "Dimensionless DFT" on the columns of T. T may be real or complex. T may be any size. Returns the dimensionless (unitless) vector D and the universal Basis matrix B such that- FFTD(T) performs a "Dimensionless DFT" on the
acnv
- FFTD(T) performs a "Dimensionless DFT" on the columns of T. T may be real or complex. T may be any size. Returns the dimensionless (unitless) vector D and the universal Basis matrix B such that- FFTD(T) performs a "Dimensionless DFT" on the
b-tree
- 详细的实现了矩阵的一系列操作，具有良好的实用性。简单、移动。-Detail the realization of a series of operations of the matrix, has a good practicability. Simple and mobile.
Sparse-matrix-compression
- 稀疏矩阵压缩存储的基本操作实现实验 要求：数据元素类型ElemType取float。 1）从键盘输入两个稀疏矩阵A、B的各元素。（行<=5,列<=5） 2）完成矩阵的加法运算，并输出。-Compressed storage of sparse matrix operations to achieve the basic experimental requirements: data element types ElemType take float. 1) from th
matrix
- 使用增广矩阵求解Ax=B,矩阵长度为5x5.-Use the augmented matrix solving Ax = B, matrix length 5x5.
matrix
- 设计一个简单的2x2阶的矩阵乘法器, A，B 为2*2矩阵 求：C=A*B-Order to design a simple 2x2 matrix multiplier, A, B 2* 2 matrix: C = A* B
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