參考:官方http://www.netlib.org/clapack/
使用例子http://www.pianshen.com/article/5143103566/
matlab、python底層進行線性代數計算都調用了clapak的C的計算封裝庫;
利用C寫矩陣的LU分解、SVD分解、求解特徵值、求矩陣的逆等可用調用上述庫進行計算;
首先下載:file CLAPACK-3.1.1-VisualStudio.zip
for CLAPACK, version 3.1.1 for Windows (42574025 bytes)
by Julie Langou
然後本地執行下,可以得到BLAS.LIB CLAPACK.LIB等文件,
新建VS工程
添加#pragma comment(lib , “libf2cd.lib”)
#pragma comment(lib , “blasd.lib”)
#pragma comment(lib , “clapackd.lib”)
#pragma comment(lib , “tmglibd.lib”)
引入頭文件:
#include “f2c.h”
#include “clapack.h”
dgesvd_( &JOBU, &JOBVT, &M, &N, a, &LDA, s, uu, &LDU, vt, &LDVT, wk, &LWORK, &INFO);
二維矩陣按一維矩陣傳入,列
參數說明:
https://docs.oracle.com/cd/E19422-01/819-3691/dgesvd.html