• Stars
    star
    207
  • Rank 185,637 (Top 4 %)
  • Language
    C
  • License
    Apache License 2.0
  • Created over 4 years ago
  • Updated 10 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

A lib of Matrix operation for C language. (矩阵运算库--C语言)

MatrixHub_logo

Matrix_hub

矩阵运算库--C语言

A lib for Matrix Operations in C language. (矩阵运算库--C语言)

Author: Amoiensis (Xiping.Yu)

Email: [email protected]

Data: 2020.02.12~2022.05.28


更多资料和信息:

https://github.com/Amoiensis/Matrix_hub

[Releases 快速下载]: Matrix_Hub_v1.51.zip


具体应用例子:

Optimization-Algorithm(最优化算法):https://github.com/Amoiensis/Optimization-Algorithm


具体: Folder_--lib.lib文件_+_.h文件

Folder_--_code_.c文件_+_.h文件

CONTENT

####(操作-函数)

操作 Func Name Operation (detailed)
生成矩阵 Matrix_gen Generate a new Matrix.
复制矩阵 Matrix_copy Copy to a new Matrix.
乘法 M_mul Matrix multiplication (create new one, abbr. create).
加减法 M_add_sub Addition/ subtraction (create).
矩阵显示 M_print Print, Display.
单位矩阵(生成) M_I Generate a identity Matrix (create).
矩阵基本变换 M_E_trans Matrix elementary transformation.
基本变换矩阵 Etrans_2_Matrix Transforms the elementary transformation into Matrix (create).
基本变换矩阵的逆矩阵 Etrans_4_Inverse Inverse Matrix of elementary transformations (create).
上三角化 M_Uptri_ Upper-Triangulation transformation on the Matrix (create).
上三角化(求逆用) M_Uptri_4inv For inverse, upper-triangulation transformation on the Matrix (create).
下三角化 M_Lowtri_ Lower-Triangulation transformation on the Matrix (create).
下三角化(求逆用) M_Lowtri_4inv For inverse , lower-triangulation transformation on the Matrix (create).
对角矩阵求逆 M_Dia_Inv The inverse of the diagonal Matrix (create).
对角化 M_Diatri_ Diagonalization (create).
求逆 M_Inverse Inverse (create).
矩阵行(列)调换 M_Swap Swap row or cloumn of the Matrix.
转置 M_T Transpose (create).
切取部分矩阵 M_Cut Cut out a part-matrix from the Matrix (create).
释放内存 M_free Free the memory of the Matrix (create).
M_tr Trace.
行列式 M_det Determinant.
填充 M_full Full the Matrix with data (create).
范数 M_norm Norm (1/ 2/ p/ INF/ FRO).
矩阵绝对值 M_abs Absolute the value of elements in the Matrix (create).
矩阵数乘 M_numul Number Multiplication (create).
(使用矩阵)填充矩阵 M_matFull Full the Matrix with another Matrix.
生成(全)零矩阵 M_Zeros Generation All-Zeros-Matrix (create).
生成(全)一矩阵 M_Ones Generation All-Ones-Matrix (create).
寻找矩阵对应值位置(列优先) M_find Find all the positions with a certain value in the Matrix (create).
矩阵按列求和/向量元素和 M_sum Matrix Column-Summation (create). / Vector element Sum (create) .
矩阵按列最小行位置 /向量最小元素位置 M_min Minimum-value position for each row in the Matrix (create) . / Vector minimum element position (create) .
矩阵按列最大行位置 /向量最大元素位置 M_max Maximum-value position for each row in the Matrix (create)./ Vector Maximum element position (create) .
矩阵各列指定行位置的值 M_minax_val The value of those given (row) positions for each column in the matrix (create).
矩阵各位置与给定值比较 (返回矩阵,取值0/1) M_logic_equal Compare every element /pisition of the Matrix with certain value (create). [ More : Return a new Matrix, whose every value is 0/1. ]
两矩阵对应位置逻辑运算 M_logic Logical operation of corresponding positions of two matrices
矩阵对应元素乘/除 (哈达玛积) M_pmuldiv Hadamard Product : Multiply / Divide every element in the two Matrix-s (create).
矩阵批量赋值(使用矩阵传递) M_setval Setting Values of a Matrix with another Matrix.
矩阵对矩阵,对各行进行数乘 M_numul_m Matrix Number Multiplication (using matrix transfer)
矩阵求秩 M_rank Rank.
(函数: M_rank) 释放初等变换内存空间 Etrans_free (In Func: M_rank) Free memory for Elementary Transformation.
矩阵求条件数 M_cond Conditon Value of the Matrix.
生成希尔伯特矩阵 Hilbert Generate Hilbert Matrix (create).
矩阵最大特征值、特征向量 M_eigen_max The maximum eigenvalue/ eigen-vector of the Matrix (create).
向量householder变换, 返回变换矩阵H householder Householder transformation for the Vector, return Transformating-Matrix: H (create).
矩阵householder变换 M_householder Householder transformation for the Matrix, return Transformated-Matrix: H_Mat (create).
矩阵QR分解 M_QR QR Decomposition (create).
矩阵特征值 M_eigen_val The eigenvalues of the Matrix (create).
矩阵特征值, 及其对应特征向量(矩阵) M_eigen The eigenvalues and eigen-vectors of the Matrix (create).
帮助 help Help.

Demo.c (Matrix_hub)

/*
\ \     __  ___     __      _       __ __     __
 \ \   /  |/  /__ _/ /_____(_)_ __ / // /_ __/ /
 / /  / /|_/ / _ `/ __/ __/ /\ \ // _  / // / _ \
/ /  /_/  /_/\_,_/\__/_/ /_//_\_\/_//_/\_,_/_.__/
* [INFORMATION]
    MATRIX_HUB
    AUTHOR: Xiping.Yu
    E-MAIL:[email protected]
    GITHUB: https://github.com/Amoiensis/Matrix_hub
    DATE: 2020.02.12-2022.05.28
    VERSION: 1.5.1
    CASE: Matrix Operation (C)
    DETAILS: The demo-code for Matrix_Hub.
    LICENSE: Apache-2.0
*/

#include <stdio.h>
#include <stdlib.h>
#include "matrix.h"


int main(int argc, char *argv[]) {

//  Matrix
    //	Mat_1
    ...
    [ 具体矩阵赋值,见 demo.c ]

//	Operation
    // 乘法
    Matrix *mat_3 = M_mul(mat_2, mat_1);
    M_print(mat_3);
    // 加减法
    Matrix *mat_diff = M_add_sub(1, mat_21, 1, mat_21b);
    M_print(mat_diff);
    // 单位矩阵
    M_print(M_I(5));
    // 上三角变换
    Uptri_struct *_Uptri_ = M_Uptri_(mat_21);
    M_print(_Uptri_->trans_matrix);
    M_print(_Uptri_->Uptri_matrix);
    // 下三角变换
    Lowtri_struct *_Lowtri_ = M_Lowtri_(mat_21);
    M_print(_Lowtri_->Lowtri_matrix);
    M_print(_Lowtri_->trans_matrix);
    // 对角化
    Dia_struct *_Dia_ = M_Diatri_(mat_21);
    M_print(_Dia_->trans_leftmatrix);
    M_print(_Dia_->Diatri_matrix);
    M_print(_Dia_->trans_rightmatrix);
    // 矩阵求逆
    Matrix *_mat_inv = M_Inverse(mat_21);
    M_print(_mat_inv);
    // 行列交换
    M_Swap(_mat_inv, 1, 2, _ROW_);
    M_print(_mat_inv);
    // 切割部分
    Matrix *_mat_cut = M_Cut(_mat_inv, _END_, _END_, 2, 3);
    M_print(_mat_cut);
    // 转置
    Matrix *_mat_T = M_T(_mat_inv);
    M_print(_mat_T);
    // 迹
    MATRIX_TYPE _tr_mat = M_tr(_mat_inv);
    printf("Tr(Matrix_%x) = %.4lf\n", _mat_inv, _tr_mat);
    // 行列式
    MATRIX_TYPE _det_mat = M_det(_mat_inv);
    printf("Det(Matrix_%x) = %.4lf\n", mat_21, _det_mat);
    // 填充
    Matrix *mat_full = M_full(mat_2, 1, 1, 1, 1, 0);
    M_print(mat_full);
    // 范数
    printf("NORM1 = %lf\n", M_norm(mat_b, 1));
    printf("NORM2 = %lf\n", M_norm(mat_b, 2));
    // 秩
    printf("Rank(%x) = %d\n", mat_A10, M_rank(mat_A10));
    printf("Rank(%x) = %d\n", mat_full, M_rank(mat_full));
    // Hilbert 希尔伯特矩阵
    printf(">> Gen Hilbert-Matrix\n");
    M_print(Hilbert(5));
    // 求条件数
    printf("条件数为: %lf\n", M_cond(Hilbert(5),1));
    //  矩阵QR分解
    Matrix * M_H = M_householder(Hilbert(5));
    M_print(M_H);
    //  矩阵特征值
    Matrix * M_eigen_I = M_eigen_val(M_H);
    M_print(M_eigen_I);
    // 特征值+特征向量
    Matrix *target = M_H;
    M_print(target);
    Matrix ** M_eigen_val_vec = M_eigen(target);
    M_print(M_eigen_val_vec[0]);
    M_print(M_eigen_val_vec[1]);
    // 验证特征值, 特征向量
    M_print(M_mul(target,M_eigen_val_vec[1]));

// Application
    // 解线性方程
    // mat_A*x = mat_b
    printf("#Solver:mat_A*x = mat_b\n");
    Matrix *_mat_result = M_mul(M_Inverse(mat_A10), mat_b10);
    M_print(_mat_result);
    // 测试 Hilbert 希尔伯特矩阵(病态矩阵)
    // Hilbert(n)*x = One(n,1)
    int order = 10;
    printf("#Solver:Hilbert(%d)*x = One(%d,1)\n", order, order);
    M_print(M_mul(M_Inverse(Hilbert(order)), M_Ones(order,1)));
    // 测试希尔伯特矩阵的秩
    printf("Rank(Hilbert(n)) = %d\n", M_rank(Hilbert(5)));

//  Others
    M_free(_mat_T); // 释放矩阵内存
    // [补充] 已修正: 一维矩阵无法实现求逆
    M_print(M_Inverse(M_Zeros(1,1))); // 已验证通过

// Help 函数
    help("help");
    help("M_rank");
    help("Update");
    help("MatrixHub");

    system("pause");
    return 0;
}

[更新说明]

[Matrix Hub v1.51] 2022.05.28

  1. 新增函数, 详情见下表 M_eigen_max/ householder/ M_householder/ M_QR/ M_eigen_val;
操作 Func Name Operation (detailed)
矩阵最大特征值、特征向量 M_eigen_max The maximum eigenvalue/ eigen-vector of the Matrix (create).
向量householder变换, 返回变换矩阵H householder Householder transformation for the Vector, return Transformating-Matrix: H (create).
矩阵householder变换 M_householder Householder transformation for the Matrix, return Transformated-Matrix: H_Mat (create).
矩阵QR分解 M_QR QR Decomposition (create).
矩阵特征值 M_eigen_val The eigenvalues of the Matrix (create).
矩阵特征值, 及其对应特征向量(矩阵) M_eigen The eigenvalues and eigen-vectors of the Matrix (create).
  1. 新增 运算过程的"显示详细等级"(The Level of Details of Output).

    位置: DETAILED (state.h)

    档位: 0/1/2/3 四等级: 0->3 逐渐详细 ( 默认设置为 2级)

    level - 显示详情的函数

    0 - M_print (除设定的输出外,不额外显示其他计算细节信息)

    1 - M_Uptri_/ M_Lowtri_/ M_Diatri_ ;

    2 - M_full/ M_Inverse/ M_eigen_val/ M_rank / M_Uptri_/ M_Lowtri_/ M_Diatri_/ M_print ;

    3 - M_free/ M_mul/ M_full/ M_Inverse/ M_rank/ M_mul / M_Uptri_/ M_Lowtri_/ M_Diatri_/ M_print ;

  2. 解决求逆运算中存在的问题(感谢@1u2e): 结构体释放问题、一维矩阵求逆; 详见:#4

  3. 本版本已完成内存测试,目前测试后暂无内存泄漏问题;

  4. 更新"README", 参考"功能表"中 OPERATION 列, 如返回值为新开辟空间则标记有 "create", 用于提供内存管理的参考, 具体请参考对应 OPERATION 说明 help("README").

  5. 自Matrix_Hub v1.51 起, 可以使用 help("MatrixHub") 查看当前版本号.

[Matrix Hub v1.50] 2022.04.29

  1. 新增函数, 矩阵求条件数 M_cond (matrix.h);

  2. 进一步克服 v1.44 内存问题, 完善内存管理, 可使用 help("Memory_Manager") 查看;

    注意:本次更新内存管理大幅改善,已修复v1.4x内存问题。

[Matrix Hub v1.44] 2022.04.28

  1. 新增函数 矩阵求秩: M_rank (matrix.h);

  2. 新增函数 Etrans_free, 实现 M_rank 初等变换内存释放; 详见 help("Etrans_free"), (matrix.h)

  3. 新增希尔伯特矩阵(病态矩阵)生成: Hilbert (matrix.h);

  4. 新增矩阵不可逆报错, Error: M_Dia_Inv_023: "@ERROR: Matrix is not invertible!" (state.h);

  5. 已修复 v1.43 计算不稳定问题;

    注意:本次更新内存和计算速度都得到提高,已修复v1.43稳定性问题。

[Matrix Hub v1.43] 2021.10.26

  1. 更新矩阵求逆算法,所有基于求逆的运算速度提升,更新"M_Inverse"函数;

  2. 修复初等变换的内存问题,程序运行内存占用减少;

  3. 删除“Etrans_2_Inverse”函数;新增“Etrans_4_Inverse”函数,用于加速矩阵求逆;

  4. 更新“M_Uptri_4inv”、“M_Lowtri_4inv”用于加速矩阵求逆;

    注意:推荐目前请使用 [Matrix Hub v1.42]v1.42版本,本次更新内存和计算速度都得到提高,但是存在一些稳定性问题,正在修复。

[Matrix Hub v1.42] 2021.08.06

  1. 新增求解矩阵最大特征值函数:M_eigen_max(),可使用help("M_eigen_max")查看具体使用;
  2. 新增矩阵取绝对值函数 M_abs(),可使用help("M_abs")查看具体使用;
  3. 完善向量和矩阵的各种范数运算M_norm():新增1范数(1)、2范数(2)、无穷范数(INF)、F范数(FRO)等方法,修正了矩阵二范数计算错误的问题,可使用help("M_norm")查看具体使用;

[Matrix Hub v1.4] 2021.02.02

  1. 新增 help() 函数,可以输入各函数名称,查看具体使用方法;如,help("help")、help("Matrix_gen")、help("README")、help("Update"),等;

  2. 新增函数“M_numul_m ()”,用于矩阵数乘 ,矩阵对于矩阵进行操作,各行对应数乘 ;

  3. 将原 M_matFull() 函数中,最左侧,和最上侧,row_up和column_left取值从“0”设置为“1(HEAD)”;

  4. 修正原代码中"Matirx"的误写,修正为"Matrix";

ATTENTION

Please feel free to contact with me for any questions, thank you!

Don't spread the files without permission!

所有文件仅仅供学习交流!

未经允许,请勿传播!


More Repositories

1

Mathmatic_Modeling_CUMCM

Mathmatic Modeling Problems and Solutions for CUMCM 2013 ~ 2019 (China Undergraduate Mathematical Contest in Modeling).(2019·省一)全国大学生数学建模竞赛
Limbo
35
star
2

Optimization-Algorithm

A Record of The Methods of Optimization.(最优化方法及其实现)C语言
C
30
star
3

JD-Logistics-Scheduling-GOC

Solution for JD-GOC Logistics Scheduling Problem. (排名-初赛: 64, 复赛: 38). JD GOC 城市物流调度比赛的解题源代码+结果检测程序.
C
15
star
4

Assembly-language

汇编语言代码,项目内容为微机原理与接口技术课程的实验内容。希望本项目,能对正在学习或者感兴趣汇编语言和微机原理与接口技术的你有所帮助~
Assembly
9
star
5

AeroEngine_FaultDiagnosis

数据挖掘方法在航空发动机故障诊断中的应用研究(ANN);Research on Application of Data Mining Method in Aero-engine Fault Diagnosis(ANN)
Python
7
star
6

BeijingMetro_Path-Planning

Automatic-Path-Planning for Metro based on Beijing's data. 北京地铁乘车路线规划。
MATLAB
5
star
7

Job_shop_scheduling

多工序多平台,工件加工调度。本项目为Course Project , Repository 将持续更新。
MATLAB
4
star
8

Pattern_Recognition

Gender Classification based on Pattern Recognition. (模式识别,区分男女/性别)
MATLAB
2
star
9

Computational-Method

“计算方法”算法的代码实现,希望对正在学习“计算方法”的你有所帮助~ The implement of the Algorithm for Computational Method Learners. (Include Code)
MATLAB
1
star
10

Amoiensis.github.io

CSS
1
star
11

Subway_flowrate_Analysis

To analyse the pedestrian flow in the Subway Network.
MATLAB
1
star
12

Operational-Research

The implement of the Algorithm for OR Learners. (Include Code) 运筹学算法的代码实现,希望对正在学习OR的你有所帮助~
MATLAB
1
star