Code:
fmm3dbie
Robust and efficient fmm accelerated iterative solvers for
solving Laplace, Helmholtz, and Maxwell equations on complex
geometries in three dimensions.
Supported interfaces: Fortran
fmm2d
Two dimensional fast multipole methods for Laplace, Helmholtz, Biharmonic, Stokes,
and modified biharmonic equations.
Supported interfaces: Fortran, C, MATLAB, and Python
chunkie
Integral equation based solvers for chunk based geometries coupled
to fast direct methods in two dimensions.
Supported interfaces: MATLAB
inverse-obstacle-scattering2d
Recurisve linearization based solvers for inverse acoustic obstacle scattering
in two dimensions.
Optimization methods supported: Gauss Newton, steepest descent,
and variants of Powell's dog-leg approach.
Boundary conditions supported: Dirichlet, Neumann, Impedance.
Supported interfaces: MATLAB
FIt-SNE
FFT-accelerated interpolation based t-SNE for dimensionality
reduction and visualization of high dimensional datasets.
Supported interfaces: C++, R, MATLAB, Python
gp-shootout
A fourier based approach for fast gaussian process regression and
a comparison of different algorithms for computing posterior means.
Algorithms compared: FLAM, SKI, RLCM.
Supported interfaces: MATLAB