diff options
author | Nao Pross <np@0hm.ch> | 2024-02-12 14:52:43 +0100 |
---|---|---|
committer | Nao Pross <np@0hm.ch> | 2024-02-12 14:52:43 +0100 |
commit | eda5bc26f44ee9a6f83dcf8c91f17296d7fc509d (patch) | |
tree | bc2efa38ff4e350f9a111ac87065cd7ae9a911c7 /src/armadillo/include/armadillo_bits/spop_mean_bones.hpp | |
download | fsisotool-eda5bc26f44ee9a6f83dcf8c91f17296d7fc509d.tar.gz fsisotool-eda5bc26f44ee9a6f83dcf8c91f17296d7fc509d.zip |
Move into version control
Diffstat (limited to 'src/armadillo/include/armadillo_bits/spop_mean_bones.hpp')
-rw-r--r-- | src/armadillo/include/armadillo_bits/spop_mean_bones.hpp | 62 |
1 files changed, 62 insertions, 0 deletions
diff --git a/src/armadillo/include/armadillo_bits/spop_mean_bones.hpp b/src/armadillo/include/armadillo_bits/spop_mean_bones.hpp new file mode 100644 index 0000000..3d3e102 --- /dev/null +++ b/src/armadillo/include/armadillo_bits/spop_mean_bones.hpp @@ -0,0 +1,62 @@ +// 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 spop_mean +//! @{ + + +//! Class for finding mean values of a sparse matrix +class spop_mean + : public traits_op_xvec + { + public: + + // Apply mean into an output sparse matrix (or vector). + template<typename T1> + inline static void apply(SpMat<typename T1::elem_type>& out, const SpOp<T1, spop_mean>& in); + + template<typename T1> + inline static void apply_noalias_fast(SpMat<typename T1::elem_type>& out, const SpProxy<T1>& p, const uword dim); + + template<typename T1> + inline static void apply_noalias_slow(SpMat<typename T1::elem_type>& out, const SpProxy<T1>& p, const uword dim); + + // Take direct mean of a set of values. Length of array and number of values can be different. + template<typename eT> + inline static eT direct_mean(const eT* const X, const uword length, const uword N); + + template<typename eT> + inline static eT direct_mean_robust(const eT* const X, const uword length, const uword N); + + template<typename T1> + inline static typename T1::elem_type mean_all(const SpBase<typename T1::elem_type, T1>& X); + + template<typename T1, typename spop_type> + inline static typename T1::elem_type mean_all(const SpOp<T1, spop_type>& expr); + + // Take the mean using an iterator. + template<typename T1, typename eT> + inline static eT iterator_mean(T1& it, const T1& end, const uword n_zero, const eT junk); + + template<typename T1, typename eT> + inline static eT iterator_mean_robust(T1& it, const T1& end, const uword n_zero, const eT junk); + }; + + + +//! @} |