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author | Nao Pross <np@0hm.ch> | 2024-02-12 14:52:43 +0100 |
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committer | Nao Pross <np@0hm.ch> | 2024-02-12 14:52:43 +0100 |
commit | eda5bc26f44ee9a6f83dcf8c91f17296d7fc509d (patch) | |
tree | bc2efa38ff4e350f9a111ac87065cd7ae9a911c7 /src/armadillo/include/armadillo_bits/band_helper.hpp | |
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Move into version control
Diffstat (limited to 'src/armadillo/include/armadillo_bits/band_helper.hpp')
-rw-r--r-- | src/armadillo/include/armadillo_bits/band_helper.hpp | 379 |
1 files changed, 379 insertions, 0 deletions
diff --git a/src/armadillo/include/armadillo_bits/band_helper.hpp b/src/armadillo/include/armadillo_bits/band_helper.hpp new file mode 100644 index 0000000..4493c70 --- /dev/null +++ b/src/armadillo/include/armadillo_bits/band_helper.hpp @@ -0,0 +1,379 @@ +// SPDX-License-Identifier: Apache-2.0 +// +// Copyright 2008-2016 Conrad Sanderson (http://conradsanderson.id.au) +// Copyright 2008-2016 National ICT Australia (NICTA) +// +// Licensed under the Apache License, Version 2.0 (the "License"); +// you may not use this file except in compliance with the License. +// You may obtain a copy of the License at +// http://www.apache.org/licenses/LICENSE-2.0 +// +// Unless required by applicable law or agreed to in writing, software +// distributed under the License is distributed on an "AS IS" BASIS, +// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. +// See the License for the specific language governing permissions and +// limitations under the License. +// ------------------------------------------------------------------------ + + +//! \addtogroup band_helper +//! @{ + + +namespace band_helper +{ + + + +template<typename eT> +inline +bool +is_band(uword& out_KL, uword& out_KU, const Mat<eT>& A, const uword N_min) + { + arma_extra_debug_sigprint(); + + // NOTE: assuming that A has a square size + // NOTE: assuming that N_min is >= 4 + + const uword N = A.n_rows; + + if(N < N_min) { return false; } + + // first, quickly check bottom-left and top-right corners + + const eT eT_zero = eT(0); + + const eT* A_col0 = A.memptr(); + const eT* A_col1 = A_col0 + N; + + if( (A_col0[N-2] != eT_zero) || (A_col0[N-1] != eT_zero) || (A_col1[N-2] != eT_zero) || (A_col1[N-1] != eT_zero) ) { return false; } + + const eT* A_colNm2 = A.colptr(N-2); + const eT* A_colNm1 = A_colNm2 + N; + + if( (A_colNm2[0] != eT_zero) || (A_colNm2[1] != eT_zero) || (A_colNm1[0] != eT_zero) || (A_colNm1[1] != eT_zero) ) { return false; } + + // if we reached this point, go through the entire matrix to work out number of subdiagonals and superdiagonals + + const uword n_nonzero_threshold = (N*N)/4; // empirically determined + + uword KL = 0; // number of subdiagonals + uword KU = 0; // number of superdiagonals + + const eT* A_colptr = A.memptr(); + + for(uword col=0; col < N; ++col) + { + uword first_nonzero_row = col; + uword last_nonzero_row = col; + + for(uword row=0; row < col; ++row) + { + if( A_colptr[row] != eT_zero ) { first_nonzero_row = row; break; } + } + + for(uword row=(col+1); row < N; ++row) + { + last_nonzero_row = (A_colptr[row] != eT_zero) ? row : last_nonzero_row; + } + + const uword L_count = last_nonzero_row - col; + const uword U_count = col - first_nonzero_row; + + if( (L_count > KL) || (U_count > KU) ) + { + KL = (std::max)(KL, L_count); + KU = (std::max)(KU, U_count); + + const uword n_nonzero = N*(KL+KU+1) - (KL*(KL+1) + KU*(KU+1))/2; + + // return as soon as we know that it's not worth analysing the matrix any further + + if(n_nonzero > n_nonzero_threshold) { return false; } + } + + A_colptr += N; + } + + out_KL = KL; + out_KU = KU; + + return true; + } + + + +template<typename eT> +inline +bool +is_band_lower(uword& out_KD, const Mat<eT>& A, const uword N_min) + { + arma_extra_debug_sigprint(); + + // NOTE: assuming that A has a square size + // NOTE: assuming that N_min is >= 4 + + const uword N = A.n_rows; + + if(N < N_min) { return false; } + + // first, quickly check bottom-left corner + + const eT eT_zero = eT(0); + + const eT* A_col0 = A.memptr(); + const eT* A_col1 = A_col0 + N; + + if( (A_col0[N-2] != eT_zero) || (A_col0[N-1] != eT_zero) || (A_col1[N-2] != eT_zero) || (A_col1[N-1] != eT_zero) ) { return false; } + + // if we reached this point, go through the bottom triangle to work out number of subdiagonals + + const uword n_nonzero_threshold = ( N*N - (N*(N-1))/2 ) / 4; // empirically determined + + uword KL = 0; // number of subdiagonals + + const eT* A_colptr = A.memptr(); + + for(uword col=0; col < N; ++col) + { + uword last_nonzero_row = col; + + for(uword row=(col+1); row < N; ++row) + { + last_nonzero_row = (A_colptr[row] != eT_zero) ? row : last_nonzero_row; + } + + const uword L_count = last_nonzero_row - col; + + if(L_count > KL) + { + KL = L_count; + + const uword n_nonzero = N*(KL+1) - (KL*(KL+1))/2; + + // return as soon as we know that it's not worth analysing the matrix any further + + if(n_nonzero > n_nonzero_threshold) { return false; } + } + + A_colptr += N; + } + + out_KD = KL; + + return true; + } + + + +template<typename eT> +inline +bool +is_band_upper(uword& out_KD, const Mat<eT>& A, const uword N_min) + { + arma_extra_debug_sigprint(); + + // NOTE: assuming that A has a square size + // NOTE: assuming that N_min is >= 4 + + const uword N = A.n_rows; + + if(N < N_min) { return false; } + + // first, quickly check top-right corner + + const eT eT_zero = eT(0); + + const eT* A_colNm2 = A.colptr(N-2); + const eT* A_colNm1 = A_colNm2 + N; + + if( (A_colNm2[0] != eT_zero) || (A_colNm2[1] != eT_zero) || (A_colNm1[0] != eT_zero) || (A_colNm1[1] != eT_zero) ) { return false; } + + // if we reached this point, go through the entire matrix to work out number of superdiagonals + + const uword n_nonzero_threshold = ( N*N - (N*(N-1))/2 ) / 4; // empirically determined + + uword KU = 0; // number of superdiagonals + + const eT* A_colptr = A.memptr(); + + for(uword col=0; col < N; ++col) + { + uword first_nonzero_row = col; + + for(uword row=0; row < col; ++row) + { + if( A_colptr[row] != eT_zero ) { first_nonzero_row = row; break; } + } + + const uword U_count = col - first_nonzero_row; + + if(U_count > KU) + { + KU = U_count; + + const uword n_nonzero = N*(KU+1) - (KU*(KU+1))/2; + + // return as soon as we know that it's not worth analysing the matrix any further + + if(n_nonzero > n_nonzero_threshold) { return false; } + } + + A_colptr += N; + } + + out_KD = KU; + + return true; + } + + + +template<typename eT> +inline +void +compress(Mat<eT>& AB, const Mat<eT>& A, const uword KL, const uword KU, const bool use_offset) + { + arma_extra_debug_sigprint(); + + // NOTE: assuming that A has a square size + + // band matrix storage format + // http://www.netlib.org/lapack/lug/node124.html + + // for ?gbsv, matrix AB size: 2*KL+KU+1 x N; band representation of A stored in rows KL+1 to 2*KL+KU+1 (note: fortran counts from 1) + // for ?gbsvx, matrix AB size: KL+KU+1 x N; band representaiton of A stored in rows 1 to KL+KU+1 (note: fortran counts from 1) + // + // the +1 in the above formulas is to take into account the main diagonal + + const uword AB_n_rows = (use_offset) ? uword(2*KL + KU + 1) : uword(KL + KU + 1); + const uword N = A.n_rows; + + AB.set_size(AB_n_rows, N); + + if(A.is_empty()) { AB.zeros(); return; } + + if(AB_n_rows == uword(1)) + { + eT* AB_mem = AB.memptr(); + + for(uword i=0; i<N; ++i) { AB_mem[i] = A.at(i,i); } + } + else + { + AB.zeros(); // paranoia + + for(uword j=0; j < N; ++j) + { + const uword A_row_start = (j > KU) ? uword(j - KU) : uword(0); + const uword A_row_endp1 = (std::min)(N, j+KL+1); + + const uword length = A_row_endp1 - A_row_start; + + const uword AB_row_start = (KU > j) ? (KU - j) : uword(0); + + const eT* A_colptr = A.colptr(j) + A_row_start; + eT* AB_colptr = AB.colptr(j) + AB_row_start + ( (use_offset) ? KL : uword(0) ); + + arrayops::copy( AB_colptr, A_colptr, length ); + } + } + } + + + +template<typename eT> +inline +void +uncompress(Mat<eT>& A, const Mat<eT>& AB, const uword KL, const uword KU, const bool use_offset) + { + arma_extra_debug_sigprint(); + + const uword AB_n_rows = AB.n_rows; + const uword N = AB.n_cols; + + arma_debug_check( (AB_n_rows != ((use_offset) ? uword(2*KL + KU + 1) : uword(KL + KU + 1))), "band_helper::uncompress(): detected inconsistency" ); + + A.zeros(N,N); // assuming there is no aliasing between A and AB + + if(AB_n_rows == uword(1)) + { + const eT* AB_mem = AB.memptr(); + + for(uword i=0; i<N; ++i) { A.at(i,i) = AB_mem[i]; } + } + else + { + for(uword j=0; j < N; ++j) + { + const uword A_row_start = (j > KU) ? uword(j - KU) : uword(0); + const uword A_row_endp1 = (std::min)(N, j+KL+1); + + const uword length = A_row_endp1 - A_row_start; + + const uword AB_row_start = (KU > j) ? (KU - j) : uword(0); + + const eT* AB_colptr = AB.colptr(j) + AB_row_start + ( (use_offset) ? KL : uword(0) ); + eT* A_colptr = A.colptr(j) + A_row_start; + + arrayops::copy( A_colptr, AB_colptr, length ); + } + } + } + + + +template<typename eT> +inline +void +extract_tridiag(Mat<eT>& out, const Mat<eT>& A) + { + arma_extra_debug_sigprint(); + + // NOTE: assuming that A has a square size and is at least 2x2 + + const uword N = A.n_rows; + + out.set_size(N, 3); // assuming there is no aliasing between 'out' and 'A' + + if(N < 2) { return; } + + eT* DL = out.colptr(0); + eT* DD = out.colptr(1); + eT* DU = out.colptr(2); + + DD[0] = A[0]; + DL[0] = A[1]; + + const uword Nm1 = N-1; + const uword Nm2 = N-2; + + for(uword i=0; i < Nm2; ++i) + { + const uword ip1 = i+1; + + const eT* data = &(A.at(i, ip1)); + + const eT tmp0 = data[0]; + const eT tmp1 = data[1]; + const eT tmp2 = data[2]; + + DL[ip1] = tmp2; + DD[ip1] = tmp1; + DU[i ] = tmp0; + } + + const eT* data = &(A.at(Nm2, Nm1)); + + DL[Nm1] = 0; + DU[Nm2] = data[0]; + DU[Nm1] = 0; + DD[Nm1] = data[1]; + } + + + +} // end of namespace band_helper + + +//! @} |