// Copyright (C) 2012 National ICT Australia (NICTA) // // This Source Code Form is subject to the terms of the Mozilla Public // License, v. 2.0. If a copy of the MPL was not distributed with this // file, You can obtain one at http://mozilla.org/MPL/2.0/. // ------------------------------------------------------------------- // // Written by Conrad Sanderson - http://conradsanderson.id.au // Written by Ryan Curtin //! \addtogroup spop_var //! @{ //! Class for finding variance values of a sparse matrix class spop_var { public: template inline static void apply(SpMat& out, const mtSpOp& in); template inline static void apply_noalias(SpMat& out, const SpProxy& p, const uword norm_type, const uword dim); // Calculate variance of a sparse vector, where we can directly use the memory. template inline static typename T1::pod_type var_vec(const T1& X, const uword norm_type = 0); // Calculate the variance directly. Because this is for sparse matrices, we // specify both the number of elements in the array (the length of the array) // as well as the actual number of elements when zeros are included. template inline static eT direct_var(const eT* const X, const uword length, const uword N, const uword norm_type = 0); // For complex numbers. template inline static T direct_var(const std::complex* const X, const uword length, const uword N, const uword norm_type = 0); // Calculate the variance using iterators, for non-complex numbers. template inline static eT iterator_var(T1& it, const T1& end, const uword n_zero, const uword norm_type, const eT junk1, const typename arma_not_cx::result* junk2 = 0); // Calculate the variance using iterators, for complex numbers. template inline static typename get_pod_type::result iterator_var(T1& it, const T1& end, const uword n_zero, const uword norm_type, const eT junk1, const typename arma_cx_only::result* junk2 = 0); }; //! @}