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iphone - 使用 Accelerate (CLAPACK) 求解增广矩阵?

转载 作者:行者123 更新时间:2023-12-03 16:12:36 26 4
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有谁知道在 Accelerate (CLAPACK) 中使用什么函数/方法来求解如下所示的增广矩阵?寻找任何示例代码、示例链接、有关如何求解矩阵的提示。我一直在浏览文档,但大多数事情都与更复杂的图形系统有关,并且有数百种看似相似的方法。

 ____            ____
| |
| 4 3 -1 | 2 |
| -2 3 8 | 0 |
| 0 2 6 | -1 |
|____ ____|

最佳答案

#include <Accelerate/Accelerate.h>
#include <stdio.h>

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

/* Dimension of the matrix */
__CLPK_integer n = 3;

/* Number of right-hand side vectors to solve for */
__CLPK_integer nrhs = 1;

/* Note the ordering of the entries in A. LAPACK uses "column major"
ordering as follows:

0 3 6
1 4 7
2 5 8

This is a Fortran-ism that persists in CLAPACK. */
double A[9] = {4.0, -2.0, 0.0, 3.0, 3.0, 2.0, -1.0, 8.0, 6.0 };

/* "Leading dimension" of the matrix; most of the time, this is just the
matrix dimension (but not always; you'll learn about this by the time
you need to use it. */
__CLPK_integer lda = 3;

/* Integer array to hold information about the matrix factorization */
__CLPK_integer ipiv[3];

/* Right hand side to solve for */
double x[3] = { 2.0, 0.0, -1.0 };

/* Leading dimension of the right hand side vector */
__CLPK_integer ldb = 3;

/* Status variable */
__CLPK_integer info;

/* Solve the augmented system with a call to dgesv_. Note that this
routine will overwrite the contents of the array A with a factored
form of the matrix. If you need the original matrix, you need to
copy it before calling dgesv_. Note that all the scalar arguments
are passed as pointers; this too is a Fortran-ism. */
dgesv_(&n, &nrhs, A, &lda, ipiv, x, &ldb, &info);

/* Handle error conditions */
if (info)
printf("Could not solve system; dgesv exited with error %d\n", info);

/* If no error, print the result */
else
printf("Solution is [%f, %f, %f]\n", x[0], x[1], x[2]);

return 0;
}

编译并运行:

 scanon$ gcc solve.c -framework Accelerate
scanon$ ./a.out
Solution is [-0.479167, 1.125000, -0.541667]

关于iphone - 使用 Accelerate (CLAPACK) 求解增广矩阵?,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/4310602/

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