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Diffstat (limited to 'thirdparty/linux/include/coin/splamm.h')
-rw-r--r-- | thirdparty/linux/include/coin/splamm.h | 123 |
1 files changed, 123 insertions, 0 deletions
diff --git a/thirdparty/linux/include/coin/splamm.h b/thirdparty/linux/include/coin/splamm.h new file mode 100644 index 0000000..b3be9c3 --- /dev/null +++ b/thirdparty/linux/include/coin/splamm.h @@ -0,0 +1,123 @@ +/*
+ * ECOS - Embedded Conic Solver.
+ * Copyright (C) 2012-2015 A. Domahidi [domahidi@embotech.com],
+ * Automatic Control Lab, ETH Zurich & embotech GmbH, Zurich, Switzerland.
+ *
+ * This program is free software: you can redistribute it and/or modify
+ * it under the terms of the GNU General Public License as published by
+ * the Free Software Foundation, either version 3 of the License, or
+ * (at your option) any later version.
+ *
+ * This program is distributed in the hope that it will be useful,
+ * but WITHOUT ANY WARRANTY; without even the implied warranty of
+ * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+ * GNU General Public License for more details.
+ *
+ * You should have received a copy of the GNU General Public License
+ * along with this program. If not, see <http://www.gnu.org/licenses/>.
+ */
+
+
+/*
+ * Sparse linear algebra library for setup phase, i.e. this module
+ * accesses malloc and hence should not go on an embedded platform.
+ */
+
+#ifndef __SPLAMM_H__
+#define __SPLAMM_H__
+
+#include "glblopts.h"
+#include "spla.h"
+
+
+/**
+ * Create a sparse matrix from existing arrays.
+ */
+spmat* createSparseMatrix(idxint m, idxint n, idxint nnz, idxint* jc, idxint* ir, pfloat* pr);
+
+
+/**
+ * Create a new sparse matrix (uses MALLOC!)
+ */
+spmat* newSparseMatrix(idxint m, idxint n, idxint nnz);
+
+/**
+ * Create a new sparse matrix (uses FREE!)
+ */
+void freeSparseMatrix(spmat* M);
+
+
+/**
+ * Transpose a matrix; returns A = M' (uses malloc!)
+ */
+spmat* transposeSparseMatrix(spmat* M, idxint* MtoMt);
+
+
+/**
+ * Permutes a symmetric matrix with only the upper triangular part stored.
+ * Writes the upper triangular part of C = A(p,p) in column compressed
+ * storage format.
+ *
+ * The function additionally returns the mapping PK that maps the row indices
+ * of the sparse matrix A on the row indices of C, such that C[P[k]] = A[k].
+ *
+ * NOTE: The matrix C and the vector PK are NOT created within this function
+ * - you need to allocate them beforehand!!
+ *
+ * If PK is NULL then the last output argument is ignored.
+ */
+void permuteSparseSymmetricMatrix(spmat* A, idxint* pinv, spmat* C, idxint* PK);
+
+
+/**
+ * Returns the inverse of permutation p of length n.
+ */
+void pinv(idxint n, idxint* p, idxint* pinv);
+
+
+/**
+ * Returns a copy of a sparse matrix A.
+ */
+spmat* copySparseMatrix(spmat* A);
+
+/* ============================= DEBUG FUNCTIONS ======================= */
+#if PRINTLEVEL > 0
+
+/**
+ * Prints a dense matrix.
+ */
+void printDenseMatrix(pfloat *M, idxint dim1, idxint dim2, char *name);
+
+
+/**
+ * Prints a dense integer matrix.
+ */
+void printDenseMatrix_i(idxint *M, idxint dim1, idxint dim2, char *name);
+
+
+/**
+ * Prints a sparse matrix.
+ */
+void printSparseMatrix(spmat* M);
+
+
+/**
+ * Dumps a sparse matrix in Matlab format.
+ * Use SPCONVERT to read in the file.
+ */
+void dumpSparseMatrix(spmat* M, char* fn);
+
+
+/**
+ * Dumps a dense matrix of doubles to a CSV file.
+ */
+void dumpDenseMatrix(pfloat *M, int dim1, int dim2, char *fn);
+
+/**
+ * Dumps a dense matrix of integers to a CSV file.
+ */
+void dumpDenseMatrix_i(idxint *M, int dim1, int dim2, char *fn);
+
+#endif
+
+#endif
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