• ScaLAPACK

  • Referenced in 321 articles [sw00830]
  • linear equations, least squares problems, and eigenvalue problems. The goals of both projects are efficiency ... Cholesky factorization, matrix inversion, full-rank linear least squares problems, orthogonal and generalized orthogonal factorizations...
  • 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 ill-posed problems is presented. The TIGRA (Tikhonov-gradient method ... Numerical results are presented for an inverse problem occurring in single-photon-emission computed tomography...
  • 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 shortest-path topological indices...
  • EASEA

  • Referenced in 12 articles [sw07058]
  • order to optimize virtually any real-world problems (continous, discrete, combinatorial, mixed and more (with ... evaluation function of the inverse problem to be solved. The EASEA code is also compatible...
  • AIR tools

  • Referenced in 12 articles [sw09203]
  • reconstruction (AIR) methods for discretizations of inverse problems. These so-called row action methods rely...
  • 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 13 articles [sw12858]
  • problem has important applications in inverse scattering. Since the problem is non-self-adjoint ... solve the resulting non-Hermitian 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 ill-posed ... problem. Therefore so-called 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 high-contrast 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 ill-posed problems enhanced for nonlinear regularization terms. In many ... experimentally measurable quantity by solving an inverse problem. In general, this constitutes an ill-posed ... problem. Therefore so-called 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 ill-conditioned with respect to inversion. Cross-weighting or correlated noise is handled ... Ward’s balancing for the generalized eigenvalue problem are available to improve condition and accuracy...
  • 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 32 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...
  • FaIMS

  • Referenced in 3 articles [sw06425]
  • FaIMS: A fast algorithm for the inverse medium problem with multiple frequencies and multiple sources ... least-squares operators related to linearized inverse medium problems with multiple events. Such factorizations ... algorithm in the context of an inverse scattering problem for the low-frequency time-harmonic...
  • 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 shrinkage-thresholding 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...
  • CEDRES++

  • Referenced in 2 articles [sw18056]
  • Newton method for the discretized non-linear problem to tackle the various non-linearities, including ... main building block for the inverse equilibrium problems that ... handle in CEDRES++ as well. The inverse problems aim at finding either poloidal field coil...