SymPy Papers - gxyd/sympy GitHub Wiki
Here is an incomplete list of papers and presentations that mention SymPy. If you know of one that is not here, please add it. See also Google Scholar. There is a relevant issue in the issue tracker. There are some TODOs for this page there.
Papers using SymPy:
- 2015, PyDII: A python framework for computing equilibrium intrinsic point defect concentrations and extrinsic solute site preferences in intermetallic compounds - Hong Dinga, Bharat Medasanib, Wei Chenc, Kristin A. Perssonc, Maciej Haranczykb, Mark Astaa
- 2015, Algorithm 950: Ncpol2sdpa---Sparse semidefinite programming relaxations for polynomial optimization problems of noncommuting variables - Peter Wittek
- 2014, Sailfish: A flexible multi-GPU implementation of the lattice Boltzmann method - M. Januszewskia, M. Kostura,
- 2014, PyFR: An open source framework for solving advection–diffusion type problems on streaming architectures using the flux reconstruction approach - F.D. Witherden, A.M. Farrington, P.E. Vincent
- 2014, PyR@TE: Renormalization group equations for general gauge theories - F. Lyonneta, I. Schienbeina, F. Staubb, A. Wingertera
- 2014, Automatic code generator for higher order integrators - Mushtaq Asif, Kåre Olaussen
- 2013, Study Guide: Introduction to Finite Element Methods - Hans Petter Langtangen (Course Notes)
- 2013, Constrained multibody dynamics with Python - Gilbert Gede, Mont Hubbard
- 2012, Symbolic Statistics with SymPy - Matthew Rocklin, Andy Terrel
- 2011, Symbolic Quantum Circuit Simplification in SymPy - Matthew Curry
- 2011, Quantum Mechanics, Quantum Computation, and the Density Operator in SymPy - Addison Cugini
- 2011, From Equation to Code: Automated Scientific Computing - Andy Terrel
- 2011, Building a Framework for Predictive Science - Michael McKerns, Leif Strand, Tim Sullivan, Alta Fang, and Michael Aivazis
- 2010, Code Generation: A Strategy for Neural Network Simulators - Dan Goodman
- 2010, General Symbolic Quantum Mechanics for SymPy - Matt Curry, Addison Cugini, and Brian Granger
- 2010, Design and Implementation Issues of a Computer Algebra System in an Interpreted, Dynamically Typed Programming Language - Mateusz Paprocki
Papers mentioning SymPy:
- 2014, Linear and Discrete Optimization - Friedrich Eisenbrand (Course using Sympy)
- 2013, MASA: a library for verification using manufactured and analytical solutions - Nichola Malaya, Kemelli C. Estacio-Hiroms, Roy H. Stogner, Karl W. Schulz, Paul T. Bauman, Graham F. Carey
- 2011, Python for Scientists and Engineers - K. Millman and Michael Aivazis
- 2011, Symbolic and Numerical Calculus Using Sage - Ondřej Certík, Fredrik Johansson, William Stein and Burcin Erocal
- 2011, Python: An Ecosystem for Scientific Computing - F. Perez, B.E. Granger, and J.D. Hunter
- 2011, Bode Plots in Maxima Computer Algebra Systems - D. Gajdošík and K. Žáková
- 2010, Python and Coding Theory - David Joyner (Course Notes)
- 2010, Combining FCA Software and Sage - Uta Priss
- 2009, Multiprocess System for Virtual Instruments in Python - Brian D'Urso
- 2008, Can We Create an Open-Source CAS? - Willian Stein
Software using SymPy
- Continuity, "a problem-solving environment for multi-scale modeling in bioengineering and physiology".
- Lcapy, "linear circuit analysis and schematic drawing".
- Ncpol2sdpa, "Solve global polynomial optimization problems of either commutative variables or noncommutative operators through a semidefinite programming (SDP) relaxation".
Presentations about SymPy
- 8/27/2011 - Mateusz Paprocki - Given at EuroSciPy 2011 Conference, Paris, France - "Review of Python-based Symbolic Mathematics Systems and Libraries"
- 7/12/2011 - Mateusz Paprocki, Aaron Meurer - Given at SciPy 2011 Conference, Austin, TX, USA - Tutorial
- 3/2/2011 - Mateusz Paprocki - Given at SIAM CSE 2011 Conference, Reno, NV, USA - Symbolic Mathematics in Pure Python
- 7/10/2010 - Mateusz Paprocki - Given at EuroSciPy 2010 Conference, Paris, France - Computing with Polynomials in SymPy
- 5/12/2010 - Mateusz Paprocki - Given at Py4Science 2010 UC Berkeley, CA, USA - Symbolic Manipulation in Pure Python
- 7/24/2009 - Mateusz Paprocki - Given at EuroSciPy 2009 Conference, Leipzig, Germany - SymPy: A Library for Symbolic Mathematics in Pure Python
- 5/19/2009 - Mateusz Paprocki - Given at KNS 2009 Students Conference, Wrocław, Poland - SymPy: A System for Exploring Symbolic Mathematics
- 1/6/2009 - Ondřej Čertík - Given at FEMTEC 2009, Lake Tahoe, CA, USA - SymPy: A Pure Python Symbolic Manipulation System
- 3/1/2008 - Ondřej Čertík - Given at SAGE Days 8, Austing, TX, USA - SymPy: Python Library for Symbolic Mathematics
- 8/17/2007 - Ondřej Čertík - Given at SciPy2007 Conference, Caltech, Los Angeles, CA, USA - Using Python for Electronic Structure Calculations, Nonlinear Solvers, FEM, and Symbolic Manipulations