
ScaLAPACK
 Referenced in 328 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 46 articles
[sw20466]
 Step Iterative Shrinkage/Thresholding Algorithm for Linear Inverse Problems...

Algorithm 682
 Referenced in 19 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...

TIGRA
 Referenced in 27 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...

AIR tools
 Referenced in 14 articles
[sw09203]
 reconstruction (AIR) methods for discretizations of inverse problems. These socalled row action methods rely...

OCOTILLO
 Referenced in 9 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 12 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...

FLIPS
 Referenced in 6 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...

Algorithm 922
 Referenced in 15 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...

NLREG
 Referenced in 5 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...

FDFD
 Referenced in 7 articles
[sw01172]
 tomography with intended applications to environmental imaging problems has been developed. The approach consists ... Finally, an adjoint field method of data inversion, developed ... parallel for solving the fully nonlinear inverse problem for electrical conductivity imaging (e.g., for mapping ... adjoint fields. Results obtained from this inversion method for highcontrast media are encouraging...

ERATO
 Referenced in 37 articles
[sw11922]
 eigenvalue problem Ax= Omega squared Bx is solved by VEKIT (an inverse vector iteration...

GENEREG
 Referenced in 4 articles
[sw08631]
 generalized regularization method for nonlinear illposed problems enhanced for nonlinear regularization terms. In many ... 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...

RICPAC
 Referenced in 47 articles
[sw15253]
 certain associated Hamiltonian or symplectic generalized eigenvalue problems. Utilizing an embedding technique, the package also ... singular or illconditioned with respect to inversion. Crossweighting or correlated noise is handled ... Ward’s balancing for the generalized eigenvalue problem are available to improve condition and accuracy...

FaIMS
 Referenced in 4 articles
[sw06425]
 FaIMS: A fast algorithm for the inverse medium problem with multiple frequencies and multiple sources ... leastsquares operators related to linearized inverse medium problems with multiple events. Such factorizations ... algorithm in the context of an inverse scattering problem for the lowfrequency timeharmonic...

RLangGFun
 Referenced in 5 articles
[sw14280]
 languages and their generating functions: The inverse problem. The technique of determining a generating function ... present a Maple implementation of this inverse methodology and describe various applications. We give ... rationality. In addition, some aspects and problems concerning the implementation are discussed; some examples from...

EFD
 Referenced in 34 articles
[sw04152]
 number of multiplications needed to provide an inversion in the ground field. In order ... this, the authors first consider the problem of adding two points (or doubling a point ... cases, allowing zero, one, two or three inversions in the ground field (typically, an inversion ... account of what is known about this problem nowadays. Note also that all these results...

ReLaTIve
 Referenced in 4 articles
[sw07068]
 intrinsic ill posedness of the real inversion problem sometime may prevent to reach the desired ... Laguerre polynomial series expansion of the inverse function and belongs to the class of polynomial...

geodesicCOMMENTED.nb
 Referenced in 4 articles
[sw09362]
 metric coefficients. In this paper the inverse problem, of reconstructing the space from the geodesic...

FISTA
 Referenced in 2 articles
[sw11448]
 iterative shrinkagethresholding algorithm for linear inverse problems. We consider the class of iterative shrinkage ... thresholding algorithms (ISTA) for solving linear inverse problems arising in signal/image processing. This class...