/**++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ * * PANIC * Portable Algorithms and Numerics In C++ * * Scientific computing from scratch, with feeling. * * Copyright (c) 2026 Michelle Bausager * * This file is part of PANIC. * * PANIC is free software licensed under the GNU General Public License v3.0 or later. * You may redistribute and/or modify it under the terms of the GPL. * * PANIC is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; * without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. * See the LICENSE file for the full license text. * * SPDX-License-Identifier: GPL-3.0-or-later * *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ * * Project Name: PANIC * Module Name: math * File Name: mean.hpp * Revision: 0.1.0 * Date: 30-07-2026 * Author: Michelle Bausager * * Description: * Functions to calculate mean of tensor arrays * *++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++*/ #pragma once #include #include // for panic::vector #include // for panic::matrix namespace panic{ namespace math{ /** * @brief Returns the mean value of a vector * * Computes: * @code * result = mean(a) * @endcode * * @tparam T Numeric element type. * @param a Input vector. * * @return A new vector containing the result. * @return An empty vector if the operation fails. * * @note This overload is convenient, but may allocate a new vector. */ template panic::types::real_t mean(const panic::tensor::vector& a); /** * @brief Returns the mean value of a matrix. * * Computes: * @code * result = mean(A) * @endcode * * @tparam T Numeric element type. * @param A Input matrix. * * @return A new matrix containing the result. * @return An empty matrix if the operation fails. * */ template panic::types::real_t mean(const panic::tensor::matrix& A); /** * @brief Find the mean values row-wise of a matrix. * * Computes: * @code * c(i) = mean(A(i,j)) * @endcode * * @tparam T Numeric element type. * @param A Input matrix. * @param c Output vector. Resized to match @p A.rows(). * * @return true if @p c was resized and filled successfully. * @return false if vector sizes do not match or resizing @p c failed. */ template bool mean_rowwise(const panic::tensor::real_matrix& A, panic::tensor::real_vector& c); /** * @brief Returns a new matrix containing the mean row-wise elementwise. * * Computes: * @code * result[i] = mean(A(i,j)) * @endcode * * @tparam T Numeric element type. * @param A Input matrix. * * @return A new matrix containing the result. * @return An empty matrix if the operation fails. * * @note This overload is convenient, but may allocate a new vector. */ template panic::tensor::real_vector mean_rowwise(const panic::tensor::real_matrix& A); /** * @brief Find the mean values column-wise of a matrix. * * Computes: * @code * C(j) = mean(A(i,j)) * @endcode * * @tparam T Numeric element type. * @param A Input matrix. * @param C Output matrix. Resized to match @p A.cols(). * * @return true if @p c was resized and filled successfully. * @return false if vector sizes do not match or resizing @p c failed. */ template bool mean_colwise(const panic::tensor::real_matrix& A, panic::tensor::real_vector& c); /** * @brief Returns a new matrix containing the mean column-wise elementwise. * * Computes: * @code * result[j] = mean(A(i,j)) * @endcode * * @tparam T Numeric element type. * @param A Input matrix. * * @return A new matrix containing the result. * @return An empty matrix if the operation fails. * * @note This overload is convenient, but may allocate a new vector. */ template panic::tensor::real_vector mean_colwise(const panic::tensor::real_matrix& A); } // namespace math } // namespace panic