PDE Solver Libraries Across Programming Languages

SciPy is a powerful Python library that provides a wide range of functions for scientific computing, including tools for solving partial differential equations.

PETSc is a widely used C++ library for solving partial differential equations. It provides a wide range of solvers and preconditioners, making it suitable for a variety of applications.

The NAG Library is a comprehensive collection of Fortran routines for scientific computing, including a wide range of functions for solving partial differential equations.

DifferentialEquations.jl is a powerful Julia library for solving differential equations, including partial differential equations. It provides a wide range of solvers and methods, making it suitable for a variety of applications.

The PDE Toolbox is a MATLAB toolbox that provides a wide range of functions for solving partial differential equations. It includes tools for finite element analysis, finite difference methods, and spectral methods.

FiPy is a Python library specifically designed for solving time-dependent partial differential equations. It provides a high-level interface for defining and solving PDEs, making it easy to use for scientists and engineers.

SUNDIALS is a C++ library for solving nonlinear partial differential equations. It provides a wide range of solvers and methods, making it suitable for a variety of applications.

PARPACK is a Fortran library for solving large-scale parabolic partial differential equations. It provides a range of solvers and methods, making it suitable for a variety of applications.

EllipticOperators.jl is a Julia library for solving elliptic partial differential equations. It provides a range of solvers and methods, making it suitable for a variety of applications.

WaveLab is a MATLAB toolbox for analyzing and processing signals and images using wavelet transforms. It can be used to solve hyperbolic partial differential equations by converting them into a system of ordinary differential equations.

FEniCS is a Python library for solving partial differential equations using finite element methods. It provides a high-level interface for defining and solving PDEs, making it easy to use for scientists and engineers.

OpenFOAM is a C++ library for solving partial differential equations using finite difference methods. It is widely used in computational fluid dynamics and other engineering applications.

The NAG Library contains a collection of Fortran routines for solving partial differential equations using spectral methods. It provides a wide range of solvers and methods, making it suitable for a variety of applications.

FEM.jl is a Julia library for solving partial differential equations using discontinuous Galerkin methods. It provides a high-level interface for defining and solving PDEs, making it easy to use for scientists and engineers.

BEMLIB is a MATLAB library for solving partial differential equations using boundary element methods. It provides a wide range of solvers and methods, making it suitable for a variety of applications.