• # glasso

• Referenced in 422 articles [sw07432]
• converged precision matrix might not be the inverse of the estimated covariance, and occasionally ... different approaches to solving their coordinate sub-problems. We conclude that dp-glasso is superior...
• # FDFD

• Referenced in 9 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...
• # ReLaTIve

• Referenced in 8 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 6 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...
• # EIGIFP

• Referenced in 43 articles [sw00235]
• eigenvalue problem $Ax = \lambda Bx$. It is a black-box implementation of an inverse free ... that allow it to solve some difficult problems without any input from users...
• # RICPAC

• Referenced in 63 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 7 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 50 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...
• # nlpdegm

• Referenced in 7 articles [sw39175]
• Pock primal-dual algorithm to nonsmooth optimization problems involving nonlinear operators between function spaces. Local ... accelerated algorithm to examples of inverse problems with L1- and L∞-fitting terms as well...
• # CEDRES++

• Referenced in 5 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...
• # BUQO

• Referenced in 4 articles [sw34653]
• Scalable Bayesian uncertainty quantification in imaging inverse problems via convex optimization. We propose a Bayesian ... quantification method for large-scale imaging inverse problems. Our method applies to all Bayesian models...
• # 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...
• # FWT2D

• Referenced in 5 articles [sw08943]
• using the BLAS3 library. The inverse problem relies on a classic local optimization approach implemented ... test different strategies for multiscale frequency inversion ranging from successive mono-frequency inversion to simultaneous...
• # FISTA

• Referenced in 3 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...
• # ParaSails

• Referenced in 28 articles [sw11521]
• ParaSails is a parallel sparse approximate inverse preconditioner for the iterative solution of large, sparse ... been used to solve finite element elasticity problems inside an LLNL simulation code with more ... also been demonstrated on anisotropic diffusion problems with 216 million equations. ParaSails uses least-squares ... norm) minimization to compute a sparse approximate inverse. The sparsity pattern used is the pattern...