稀疏矩阵的Octave格式与mex格式相同,因为它是压缩列稀疏格式。此外,在这两种实现方式中,稀疏矩阵都需要是二维的。对程序员来说,唯一重要的区别是矩阵的实部和虚部是分开存储的。
mex文件接口,除了使用mxGetM
,mxGetN
,mxSetM
,mxSetN
,mxGetPr
,mxGetPi
,mxSetPr
和mxSetPi
,还提供以下函数。
mwIndex *mxGetIr (const mxArray *ptr); mwIndex *mxGetJc (const mxArray *ptr); mwSize mxGetNzmax (const mxArray *ptr); void mxSetIr (mxArray *ptr, mwIndex *ir); void mxSetJc (mxArray *ptr, mwIndex *jc); void mxSetNzmax (mxArray *ptr, mwSize nzmax);
mxGetNzmax
获取可存储在稀疏矩阵中的最大元素数。这不一定是稀疏矩阵中非零元素的数量。mxGetJc
返回一个数组,该数组比稀疏矩阵中的列数多出一个值mxGetJc
定义稀疏矩阵的每列中非零元素的数量。因此,
mwSize nz, n; mwIndex *Jc; mxArray *m; ... n = mxGetN (m); Jc = mxGetJc (m); nz = Jc[n];
返回中矩阵中存储的非零元素的实际数量nz
。作为返回的数组mxGetPr
和mxGetPi
只包含矩阵的非零值,我们还需要一个指向非零值元素行的指针,这从mxGetIr
.文件给出了在mex文件中使用稀疏矩阵的完整示例mysparse.c如下所示。
#include "mex.h" void mexFunction (int nlhs, mxArray *plhs[], int nrhs, const mxArray *prhs[]) { mwSize m, n, nz; mxArray *v; mwIndex i; double *pr, *pi; double *pr2, *pi2; mwIndex *ir, *jc; mwIndex *ir2, *jc2; if (nrhs != 1 || ! mxIsSparse (prhs[0])) mexErrMsgTxt ("ARG1 must be a sparse matrix"); m = mxGetM (prhs[0]); n = mxGetN (prhs[0]); nz = mxGetNzmax (prhs[0]); if (mxIsComplex (prhs[0])) { mexPrintf ("Matrix is %d-by-%d complex sparse matrix", m, n); mexPrintf (" with %d elements\n", nz); pr = mxGetPr (prhs[0]); pi = mxGetPi (prhs[0]); ir = mxGetIr (prhs[0]); jc = mxGetJc (prhs[0]); i = n; while (jc[i] == jc[i-1] && i != 0) i--; mexPrintf ("last nonzero element (%d, %d) = (%g, %g)\n", ir[nz-1]+ 1, i, pr[nz-1], pi[nz-1]); v = mxCreateSparse (m, n, nz, mxCOMPLEX); pr2 = mxGetPr (v); pi2 = mxGetPi (v); ir2 = mxGetIr (v); jc2 = mxGetJc (v); for (i = 0; i < nz; i++) { pr2[i] = 2 * pr[i]; pi2[i] = 2 * pi[i]; ir2[i] = ir[i]; } for (i = 0; i < n + 1; i++) jc2[i] = jc[i]; if (nlhs > 0) plhs[0] = v; } else if (mxIsLogical (prhs[0])) { mxLogical *pbr, *pbr2; mexPrintf ("Matrix is %d-by-%d logical sparse matrix", m, n); mexPrintf (" with %d elements\n", nz); pbr = mxGetLogicals (prhs[0]); ir = mxGetIr (prhs[0]); jc = mxGetJc (prhs[0]); i = n; while (jc[i] == jc[i-1] && i != 0) i--; mexPrintf ("last nonzero element (%d, %d) = %d\n", ir[nz-1]+ 1, i, pbr[nz-1]); v = mxCreateSparseLogicalMatrix (m, n, nz); pbr2 = mxGetLogicals (v); ir2 = mxGetIr (v); jc2 = mxGetJc (v); for (i = 0; i < nz; i++) { pbr2[i] = pbr[i]; ir2[i] = ir[i]; } for (i = 0; i < n + 1; i++) jc2[i] = jc[i]; if (nlhs > 0) plhs[0] = v; } else { mexPrintf ("Matrix is %d-by-%d real sparse matrix", m, n); mexPrintf (" with %d elements\n", nz); pr = mxGetPr (prhs[0]); ir = mxGetIr (prhs[0]); jc = mxGetJc (prhs[0]); i = n; while (jc[i] == jc[i-1] && i != 0) i--; mexPrintf ("last nonzero element (%d, %d) = %g\n", ir[nz-1]+ 1, i, pr[nz-1]); v = mxCreateSparse (m, n, nz, mxREAL); pr2 = mxGetPr (v); ir2 = mxGetIr (v); jc2 = mxGetJc (v); for (i = 0; i < nz; i++) { pr2[i] = 2 * pr[i]; ir2[i] = ir[i]; } for (i = 0; i < n + 1; i++) jc2[i] = jc[i]; if (nlhs > 0) plhs[0] = v; } }
的示例用法mysparse
是
sm = sparse ([1, 0; 0, pi]); mysparse (sm) ⇒ Matrix is 2-by-2 real sparse matrix with 2 elements last nonzero element (2, 2) = 3.14159
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