
ScaLAPACK
 Referenced in 410 articles
[sw00830]
 linear equations, least squares problems, and eigenvalue problems. The goals of both projects are efficiency ... Cholesky factorization, matrix inversion, fullrank linear least squares problems, orthogonal and generalized orthogonal factorizations...

TwIST
 Referenced in 89 articles
[sw20466]
 Step Iterative Shrinkage/Thresholding Algorithm for Linear Inverse Problems...

AIR tools
 Referenced in 79 articles
[sw09203]
 reconstruction (AIR) methods for discretizations of inverse problems. These socalled row action methods rely...

IR Tools
 Referenced in 39 articles
[sw26721]
 test problems for largescale linear inverse problems. The software package, called IR Tools, serves ... form of discretizations of 2D linear inverse problems. The solvers include iterative regularization methods where...

TIGRA
 Referenced in 40 articles
[sw02333]
 gradient method for solving nonlinear illposed problems is presented. The TIGRA (Tikhonovgradient method ... Numerical results are presented for an inverse problem occurring in singlephotonemission computed tomography...

Algorithm 682
 Referenced in 26 articles
[sw08369]
 Talbot’s method for the Laplace inversion problem. We describe a FORTRAN implementation, and some ... method which numerically solves the inversion problem of almost arbitrary Laplace transforms by means...

UQLab
 Referenced in 33 articles
[sw19740]
 global sensitivity analysis, Bayesian techniques for inverse problems, etc. After more than two years...

ADMiRA
 Referenced in 31 articles
[sw31664]
 rank matrix posing the inverse problem as an approximation problem with a specified target rank...

REVEAL
 Referenced in 28 articles
[sw36999]
 program, and found the problem to be tractable within the conditions tested ... ability to adequately solve the inverse problem may enable indepth analysis of complex dynamic...

Algorithm 922
 Referenced in 33 articles
[sw12858]
 problem has important applications in inverse scattering. Since the problem is nonselfadjoint ... solve the resulting nonHermitian eigenvalue problem, an iterative algorithm using restarted Arnoldi method ... inverse scattering and modified to compute transmission eigenvalues for other models such as elasticity problem...

GPSABC
 Referenced in 16 articles
[sw16117]
 parameters given observations (the inverse problem) can be extremely challenging. The Approximate Bayesian Computation...

hIPPYlib
 Referenced in 11 articles
[sw27290]
 hIPPYlib  Inverse Problem PYthon library. hIPPYlib implements stateoftheart scalable adjointbased algorithms ... based deterministic and Bayesian inverse problems. It builds on FEniCS for the discretization...

OCOTILLO
 Referenced in 10 articles
[sw09292]
 software development and computational complexity analysis for problems arising in the design of combinatorial libraries ... algorithms and intractability results for several Inverse Problems  formulated as (chemical) graph reconstruction problems  related ... package provides exact solutions for general inverse problems based on shortestpath topological indices...

EASEA
 Referenced in 14 articles
[sw07058]
 order to optimize virtually any realworld problems (continous, discrete, combinatorial, mixed and more (with ... evaluation function of the inverse problem to be solved.
The EASEA code is also compatible...

ODL
 Referenced in 14 articles
[sw22359]
 Python library that enables research in inverse problems on realistic or real data. The framework...

jInv
 Referenced in 8 articles
[sw15601]
 measurements requires solutions of illposed inverse problems. Such problems arise in a variety ... These so called parameter estimation or inverse medium problems, are computationally intense since the underlying ... available, which poses severe challenges to inversion algorithms as measurement devices become more powerful ... used to solve multiphysics inversion problems as is demonstrated using numerical experiments motivated by geophysical...

FLIPS
 Referenced in 7 articles
[sw00299]
 FLIPS (Fortran Linear Inverse Problem Solver) is a Fortran95 module for solving large scale statistical ... linear inverse problems of formm = Ax + ewhere m is called the measurement ... enough to determine it.FLIPS solves the inverse problem by first transforming it into a equivalent...

DeepXDE
 Referenced in 8 articles
[sw32456]
 implementation point of view, PINNs solve inverse problems as easily as forward problems. We propose ... boundary conditions, as well as inverse problems given some extra measurements. DeepXDE supports complexgeometry...

NLREG
 Referenced in 7 articles
[sw08630]
 experimentally measurable quantity by solving an inverse problem. In general, this constitutes an illposed ... problem. Therefore socalled regularization methods are necessary: Besides the constraint from the experimental data ... regularization respectively its generalization to nonlinear inverse problems, denoted as nonlinear regularization method and implemented...