MASA-0.44.0
|
This library is free software; you can redistribute it and/or modify it under the terms of the Version 2.1 GNU Lesser General Public License as published by the Free Software Foundation.
This library 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 GNU Lesser General Public License for more details.
The MASA (Manufactured Analytical Solutions Abstraction) library is a software interface that provides access to various manufactured solutions for a wide variety of differential equations. The library is written in C++, and provides an API for development in C and Fortran.
Verification of numerical computations, in which one asks if numerical results are an accurate representation of the solution to the mathematical model that is being solved, is relatively well understood. It requires careful attention to good software engineering practices, continuous software testing, and control of numerical discretization errors, through error estimation and adaptivity. While verification processes are well understood, they require substantial effort. As verification of numerical results is a prerequisite for reliable computational predictions, verification processes are integral to all activities in scientific computation.
MASA is designed to simplify the verification process by providing a common repository of manufactured solutions for common problems in scientific computation.
The analytical solutions used in this library were generated using symbolic manipulation software, such as Maple.
The Center for Predictive Engineering and COmputational Sciences (PECOS) is a DOE-funded Center of Excellence within the Institute for Computational Engineering and Sciences (ICES) at The University of Texas at Austin. PECOS is one of five such centers sponsored under the Predictive Science Academic Alliance Program (PSAAP) of the National Nuclear Security Administration’s Advanced Simulation and Computing Program.
PECOS brings together an interdisciplinary, multi-university team with partners at the DOE National Labs and NASA. The goal of the PECOS Center is to develop the next generation of advanced computational methods for predictive simulation of multiscale, multiphysics phenomena, and to apply these methods to the analysis of vehicles reentering the atmosphere. In pursuing this research, PECOS is advancing the science and modeling of atmospheric reentry, and the science of predictive simulation.
Developers of the MASA library include:
Paul Bauman
Kemelli Estacio-Hiroms
Todd Oliver
Onkar Sahni
Karl W. Schulz
Chris Simmons
Roy Stogner
Please add the following citation to any paper, technical report or article describing the use of the MASA library:
Nicholas Malaya, Kemelli C. Estacio-Hiroms, Roy H. Stogner, Karl W. Schulz, Paul T. Bauman, and Graham F. Carey. ``MASA: A Library for Verification Using Manufactured and Analytical Solutions''. Engineering with Computers, June 2012.