| /dports/math/combblas/CombBLAS_beta_16_2/include/CombBLAS/ |
| H A D | SpTuples.cpp | 70 SpTuples<IT,NT>::SpTuples (int64_t maxnnz, IT nRow, IT nCol, std::vector<IT> & edges, bool removelo… in SpTuples() argument
72 if(maxnnz > 0) in SpTuples()
74 tuples = new std::tuple<IT, IT, NT>[maxnnz]; in SpTuples()
76 for(int64_t i=0; i<maxnnz; ++i) in SpTuples()
84 nnz = maxnnz; // for now (to sort) in SpTuples()
90 while(cnz < maxnnz) in SpTuples()
93 while(j < maxnnz && rowindex(cnz) == rowindex(j) && colindex(cnz) == colindex(j)) in SpTuples()
111 for(int64_t i=0; i<maxnnz; ++i) in SpTuples()
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| H A D | SpHelper.h | 480 IT maxnnz = 0; // max number of nonzeros in C(:,i) in SpColByCol() local
488 maxnnz += colinds[j].second - colinds[j].first; in SpColByCol()
493 if (cnz + maxnnz > cnzmax) // double the size of multstack in SpColByCol()
495 SpHelper::DoubleStack(multstack, cnzmax, maxnnz); in SpColByCol()
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| H A D | SpTuples.h | 66 …SpTuples (int64_t maxnnz, IT nRow, IT nCol, std::vector<IT> & edges, bool removeloops = true); // …
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| H A D | SpParMat.cpp | 668 IT maxnnz = 0; in LoadImbalance() local
670 MPI_Allreduce( &localnnz, &maxnnz, 1, MPIType<IT>(), MPI_MAX, commGrid->GetWorld()); in LoadImbalance()
672 return static_cast<float>((commGrid->GetSize() * maxnnz)) / static_cast<float>(totnnz); in LoadImbalance()
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| /dports/science/qiskit-aer/qiskit-aer-0.5.2/qiskit/providers/aer/pulse/qutip_lite/ |
| H A D | fastsparse.py | 105 maxnnz = self.nnz + other.nnz
108 maxval=maxnnz)
110 indices = np.empty(maxnnz, dtype=idx_dtype)
114 data = np.empty(maxnnz, dtype=np.bool_)
116 data = np.empty(maxnnz, dtype=upcast(self.dtype, other.dtype))
130 if actual_nnz < maxnnz // 2:
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| /dports/devel/py-qutip/qutip-4.6.2/qutip/ |
| H A D | fastsparse.py | 85 maxnnz = self.nnz + other.nnz
88 maxval=maxnnz)
90 indices = np.empty(maxnnz, dtype=idx_dtype)
94 data = np.empty(maxnnz, dtype=np.bool_)
96 data = np.empty(maxnnz, dtype=upcast(self.dtype, other.dtype))
110 if actual_nnz < maxnnz // 2:
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| /dports/science/PETSc/petsc-3.14.1/src/dm/dt/space/impls/subspace/ |
| H A D | spacesubspace.c | 452 PetscInt maxnnz; in PetscSpacePolynomialGetTensor_Subspace() local
456 maxnnz = 0; in PetscSpacePolynomialGetTensor_Subspace()
461 maxnnz = PetscMax(maxnnz,nnz); in PetscSpacePolynomialGetTensor_Subspace()
467 maxnnz = PetscMax(maxnnz,nnz); in PetscSpacePolynomialGetTensor_Subspace()
469 if (maxnnz > 1) *poly = PETSC_FALSE; in PetscSpacePolynomialGetTensor_Subspace()
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| /dports/math/SCIP/scip-7.0.3/src/nlpi/ |
| H A D | nlpioracle.c | 2522 int maxnnz; in SCIPnlpiOracleGetJacobianSparsity() local
2542 maxnnz = MIN(oracle->nvars, 10) * oracle->nconss; /* initial guess */ in SCIPnlpiOracleGetJacobianSparsity()
2543 SCIP_ALLOC( BMSallocBlockMemoryArray(oracle->blkmem, &oracle->jaccols, maxnnz) ); in SCIPnlpiOracleGetJacobianSparsity()
2545 if( maxnnz == 0 ) in SCIPnlpiOracleGetJacobianSparsity()
2571 … SCIP_CALL( ensureIntArraySize(oracle->blkmem, &oracle->jaccols, &maxnnz, nnz + cons->nlinidxs) ); in SCIPnlpiOracleGetJacobianSparsity()
2589 SCIP_CALL( ensureIntArraySize(oracle->blkmem, &oracle->jaccols, &maxnnz, nnz + nvars) ); in SCIPnlpiOracleGetJacobianSparsity()
2623 SCIP_CALL( ensureIntArraySize(oracle->blkmem, &oracle->jaccols, &maxnnz, nnz + 1) ); in SCIPnlpiOracleGetJacobianSparsity()
2632 if( nnz < maxnnz ) in SCIPnlpiOracleGetJacobianSparsity()
2634 SCIP_ALLOC( BMSreallocBlockMemoryArray(oracle->blkmem, &oracle->jaccols, maxnnz, nnz) ); in SCIPnlpiOracleGetJacobianSparsity()
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| /dports/math/viennacl/ViennaCL-1.7.1/viennacl/linalg/cuda/ |
| H A D | sparse_matrix_operations.hpp | 1817 static_cast<unsigned int>(mat.maxnnz()), in prod_impl()
1834 static_cast<unsigned int>(mat.maxnnz()), in prod_impl()
1923 static_cast<unsigned int>(sp_mat.maxnnz()), in prod_impl()
1947 static_cast<unsigned int>(sp_mat.maxnnz()), in prod_impl()
1971 static_cast<unsigned int>(sp_mat.maxnnz()), in prod_impl()
1995 static_cast<unsigned int>(sp_mat.maxnnz()), in prod_impl()
2098 static_cast<unsigned int>(sp_mat.maxnnz()), in prod_impl()
2123 static_cast<unsigned int>(sp_mat.maxnnz()), in prod_impl()
2148 static_cast<unsigned int>(sp_mat.maxnnz()), in prod_impl()
2173 static_cast<unsigned int>(sp_mat.maxnnz()), in prod_impl()
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| H A D | iterative_operations.hpp | 529 static_cast<unsigned int>(A.maxnnz()), in pipelined_cg_prod()
1365 static_cast<unsigned int>(A.maxnnz()), in pipelined_cg_prod()
1986 static_cast<unsigned int>(A.maxnnz()), in pipelined_cg_prod()
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| /dports/science/py-scipy/scipy-1.7.1/scipy/sparse/ |
| H A D | compressed.py | 1225 maxnnz = self.nnz + other.nnz
1228 maxval=maxnnz)
1230 indices = np.empty(maxnnz, dtype=idx_dtype)
1234 data = np.empty(maxnnz, dtype=np.bool_)
1236 data = np.empty(maxnnz, dtype=upcast(self.dtype, other.dtype))
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| /dports/science/PETSc/petsc-3.14.1/src/dm/dt/dualspace/impls/lagrange/ |
| H A D | dspacelagrange.c | 1246 PetscInt maxnnz; in MatricesMerge() local
1259 maxnnz = 0; in MatricesMerge()
1263 maxnnz = PetscMax(maxnnz, nnz[i]); in MatricesMerge()
1268 maxnnz = PetscMax(maxnnz, nnz[i+mA]); in MatricesMerge()
1274 ierr = PetscMalloc1(maxnnz, &work);CHKERRQ(ierr); in MatricesMerge()
1740 PetscInt maxnnz, *nnz, *iwork; in PetscDualSpaceLagrangeMatrixCreateCopies() local
1748 for (i = 0, maxnnz = 0; i < m; i++) { in PetscDualSpaceLagrangeMatrixCreateCopies()
1753 maxnnz = PetscMax(maxnnz, innz); in PetscDualSpaceLagrangeMatrixCreateCopies()
1758 ierr = PetscMalloc1(maxnnz, &iwork);CHKERRQ(ierr); in PetscDualSpaceLagrangeMatrixCreateCopies()
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| /dports/science/hypre/hypre-2.23.0/src/FEI_mv/femli/ |
| H A D | mli_utils.c | 96 int icol, maxnnz; in MLI_Utils_HypreMatrixFormJacobi() local
122 maxnnz = 0; in MLI_Utils_HypreMatrixFormJacobi()
143 maxnnz = ( rowLengths[irow] > maxnnz ) ? rowLengths[irow] : maxnnz; in MLI_Utils_HypreMatrixFormJacobi()
153 newColInd = hypre_CTAlloc(int, maxnnz, HYPRE_MEMORY_HOST); in MLI_Utils_HypreMatrixFormJacobi()
154 newColVal = hypre_CTAlloc(double, maxnnz, HYPRE_MEMORY_HOST); in MLI_Utils_HypreMatrixFormJacobi()
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| /dports/math/viennacl/ViennaCL-1.7.1/viennacl/linalg/opencl/ |
| H A D | iterative_operations.hpp | 193 cl_uint(A.maxnnz()), in pipelined_cg_prod()
490 cl_uint(A.maxnnz()), in pipelined_bicgstab_prod()
842 cl_uint(A.maxnnz()), in pipelined_gmres_prod()
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| H A D | sparse_matrix_operations.hpp | 916 cl_uint(A.maxnnz()), in prod_impl()
930 cl_uint(A.maxnnz()), in prod_impl()
967 cl_uint(sp_A.maxnnz()), in prod_impl()
1014 cl_uint(sp_A.maxnnz()), in prod_impl()
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| /dports/science/py-scipy/scipy-1.7.1/scipy/sparse/sparsetools/ |
| H A D | bsr.h | 249 void bsr_matmat(const I maxnnz, in bsr_matmat() argument
268 std::fill( Cx, Cx + RC * maxnnz, 0 ); //clear output array in bsr_matmat()
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| /dports/math/viennacl/ViennaCL-1.7.1/viennacl/ |
| H A D | ell_matrix.hpp | 95 vcl_size_t maxnnz() const { return maxnnz_; } in maxnnz() function in viennacl::ell_matrix
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| /dports/math/viennacl/ViennaCL-1.7.1/viennacl/linalg/host_based/ |
| H A D | sparse_matrix_operations.hpp | 1558 for (long item_id = 0; item_id < static_cast<long>(sp_mat.maxnnz()); ++item_id) in prod_impl()
1595 for (unsigned int item_id = 0; item_id < sp_mat.maxnnz(); ++item_id) { in prod_impl()
1680 for (unsigned int item_id = 0; item_id < sp_mat.maxnnz(); ++item_id) { in prod_impl()
1719 for (long item_id = 0; item_id < static_cast<long>(sp_mat.maxnnz()); ++item_id) { in prod_impl()
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| /dports/math/SCIP/scip-7.0.3/src/scip/ |
| H A D | conflict.c | 3057 SCIP_Real maxnnz; in createAndAddProofcons() local
3060 maxnnz = 0.85 * transprob->nvars; in createAndAddProofcons()
3062 maxnnz = (SCIP_Real)transprob->nvars; in createAndAddProofcons()
3069 toolong = (fillin > MIN(2.0 * stat->avgnnz, maxnnz)); in createAndAddProofcons()
3077 toolong = (fillin > MIN(1.5 * stat->avgnnz, maxnnz)); in createAndAddProofcons()
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