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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/fn_norm.hpp | |
download | fsisotool-eda5bc26f44ee9a6f83dcf8c91f17296d7fc509d.tar.gz fsisotool-eda5bc26f44ee9a6f83dcf8c91f17296d7fc509d.zip |
Move into version control
Diffstat (limited to 'src/armadillo/include/armadillo_bits/fn_norm.hpp')
-rw-r--r-- | src/armadillo/include/armadillo_bits/fn_norm.hpp | 342 |
1 files changed, 342 insertions, 0 deletions
diff --git a/src/armadillo/include/armadillo_bits/fn_norm.hpp b/src/armadillo/include/armadillo_bits/fn_norm.hpp new file mode 100644 index 0000000..a8f05f0 --- /dev/null +++ b/src/armadillo/include/armadillo_bits/fn_norm.hpp @@ -0,0 +1,342 @@ +// 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 fn_norm +//! @{ + + + +template<typename T1> +arma_warn_unused +inline +typename enable_if2< is_arma_type<T1>::value, typename T1::pod_type >::result +norm + ( + const T1& X, + const uword k = uword(2), + const typename arma_real_or_cx_only<typename T1::elem_type>::result* junk = nullptr + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + typedef typename T1::pod_type T; + + const Proxy<T1> P(X); + + if(P.get_n_elem() == 0) { return T(0); } + + const bool is_vec = (T1::is_xvec) || (T1::is_row) || (T1::is_col) || (P.get_n_rows() == 1) || (P.get_n_cols() == 1); + + if(is_vec) + { + if(k == uword(1)) { return op_norm::vec_norm_1(P); } + if(k == uword(2)) { return op_norm::vec_norm_2(P); } + + arma_debug_check( (k == 0), "norm(): unsupported vector norm type" ); + + return op_norm::vec_norm_k(P, int(k)); + } + else + { + const quasi_unwrap<typename Proxy<T1>::stored_type> U(P.Q); + + if(k == uword(1)) { return op_norm::mat_norm_1(U.M); } + if(k == uword(2)) { return op_norm::mat_norm_2(U.M); } + + arma_stop_logic_error("norm(): unsupported matrix norm type"); + } + + return T(0); + } + + + +template<typename T1> +arma_warn_unused +inline +typename enable_if2< is_arma_type<T1>::value, typename T1::pod_type >::result +norm + ( + const T1& X, + const char* method, + const typename arma_real_or_cx_only<typename T1::elem_type>::result* junk = nullptr + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + typedef typename T1::pod_type T; + + const Proxy<T1> P(X); + + if(P.get_n_elem() == 0) { return T(0); } + + const char sig = (method != nullptr) ? method[0] : char(0); + const bool is_vec = (T1::is_xvec) || (T1::is_row) || (T1::is_col) || (P.get_n_rows() == 1) || (P.get_n_cols() == 1); + + if(is_vec) + { + if( (sig == 'i') || (sig == 'I') || (sig == '+') ) { return op_norm::vec_norm_max(P); } + if( (sig == '-') ) { return op_norm::vec_norm_min(P); } + if( (sig == 'f') || (sig == 'F') ) { return op_norm::vec_norm_2(P); } + + arma_stop_logic_error("norm(): unsupported vector norm type"); + } + else + { + if( (sig == 'i') || (sig == 'I') || (sig == '+') ) // inf norm + { + const quasi_unwrap<typename Proxy<T1>::stored_type> U(P.Q); + + return op_norm::mat_norm_inf(U.M); + } + else + if( (sig == 'f') || (sig == 'F') ) + { + return op_norm::vec_norm_2(P); + } + + arma_stop_logic_error("norm(): unsupported matrix norm type"); + } + + return T(0); + } + + + +template<typename T1> +arma_warn_unused +inline +typename enable_if2< is_arma_type<T1>::value, double >::result +norm + ( + const T1& X, + const uword k = uword(2), + const typename arma_integral_only<typename T1::elem_type>::result* junk = nullptr + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + if(resolves_to_colvector<T1>::value) { return norm(conv_to< Col<double> >::from(X), k); } + if(resolves_to_rowvector<T1>::value) { return norm(conv_to< Row<double> >::from(X), k); } + + return norm(conv_to< Mat<double> >::from(X), k); + } + + + +template<typename T1> +arma_warn_unused +inline +typename enable_if2< is_arma_type<T1>::value, double >::result +norm + ( + const T1& X, + const char* method, + const typename arma_integral_only<typename T1::elem_type>::result* junk = nullptr + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + if(resolves_to_colvector<T1>::value) { return norm(conv_to< Col<double> >::from(X), method); } + if(resolves_to_rowvector<T1>::value) { return norm(conv_to< Row<double> >::from(X), method); } + + return norm(conv_to< Mat<double> >::from(X), method); + } + + + +// +// norms for sparse matrices + + +template<typename T1> +arma_warn_unused +inline +typename enable_if2< is_arma_sparse_type<T1>::value, typename T1::pod_type >::result +norm + ( + const T1& expr, + const uword k = uword(2), + const typename arma_real_or_cx_only<typename T1::elem_type>::result* junk = nullptr + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + typedef typename T1::elem_type eT; + typedef typename T1::pod_type T; + + if(is_SpSubview_col<T1>::value) + { + const SpSubview_col<eT>& sv = reinterpret_cast< const SpSubview_col<eT>& >(expr); + + if(sv.n_rows == sv.m.n_rows) + { + const SpMat<eT>& m = sv.m; + const uword col = sv.aux_col1; + const eT* mem = &(m.values[ m.col_ptrs[col] ]); + + return spop_norm::vec_norm_k(mem, sv.n_nonzero, k); + } + } + + const unwrap_spmat<T1> U(expr); + const SpMat<eT>& X = U.M; + + if(X.n_nonzero == 0) { return T(0); } + + const bool is_vec = (T1::is_xvec) || (T1::is_row) || (T1::is_col) || (X.n_rows == 1) || (X.n_cols == 1); + + if(is_vec) + { + return spop_norm::vec_norm_k(X.values, X.n_nonzero, k); + } + else + { + if(k == uword(1)) { return spop_norm::mat_norm_1(X); } + if(k == uword(2)) { return spop_norm::mat_norm_2(X); } + + arma_stop_logic_error("norm(): unsupported or unimplemented norm type for sparse matrices"); + } + + return T(0); + } + + + +template<typename T1> +arma_warn_unused +inline +typename enable_if2< is_arma_sparse_type<T1>::value, typename T1::pod_type >::result +norm + ( + const T1& expr, + const char* method, + const typename arma_real_or_cx_only<typename T1::elem_type>::result* junk = nullptr + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + typedef typename T1::elem_type eT; + typedef typename T1::pod_type T; + + const unwrap_spmat<T1> U(expr); + const SpMat<eT>& X = U.M; + + if(X.n_nonzero == 0) { return T(0); } + + // create a fake dense vector to allow reuse of code for dense vectors + Col<eT> fake_vector( access::rwp(X.values), X.n_nonzero, false ); + + const Proxy< Col<eT> > P_fake_vector(fake_vector); + + + const char sig = (method != nullptr) ? method[0] : char(0); + const bool is_vec = (T1::is_xvec) || (T1::is_row) || (T1::is_col) || (X.n_rows == 1) || (X.n_cols == 1); + + if(is_vec) + { + if( (sig == 'i') || (sig == 'I') || (sig == '+') ) // max norm + { + return op_norm::vec_norm_max(P_fake_vector); + } + else + if(sig == '-') // min norm + { + const T val = op_norm::vec_norm_min(P_fake_vector); + + return (X.n_nonzero < X.n_elem) ? T((std::min)(T(0), val)) : T(val); + } + else + if( (sig == 'f') || (sig == 'F') ) + { + return op_norm::vec_norm_2(P_fake_vector); + } + + arma_stop_logic_error("norm(): unsupported vector norm type"); + } + else + { + if( (sig == 'i') || (sig == 'I') || (sig == '+') ) // inf norm + { + return spop_norm::mat_norm_inf(X); + } + else + if( (sig == 'f') || (sig == 'F') ) + { + return op_norm::vec_norm_2(P_fake_vector); + } + + arma_stop_logic_error("norm(): unsupported matrix norm type"); + } + + return T(0); + } + + + +// +// approximate norms + + +template<typename T1> +arma_warn_unused +inline +typename T1::pod_type +norm2est + ( + const Base<typename T1::elem_type, T1>& X, + const typename T1::pod_type tolerance = 0, + const uword max_iter = 100, + const typename arma_real_or_cx_only<typename T1::elem_type>::result* junk = nullptr + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + return op_norm2est::norm2est(X.get_ref(), tolerance, max_iter); + } + + + +template<typename T1> +arma_warn_unused +inline +typename T1::pod_type +norm2est + ( + const SpBase<typename T1::elem_type, T1>& X, + const typename T1::pod_type tolerance = 0, + const uword max_iter = 100, + const typename arma_real_or_cx_only<typename T1::elem_type>::result* junk = nullptr + ) + { + arma_extra_debug_sigprint(); + arma_ignore(junk); + + return op_norm2est::norm2est(X.get_ref(), tolerance, max_iter); + } + + + +//! @} |