• # 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 48 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...
• # EIGIFP

• Referenced in 39 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 58 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...
• # FaIMS

• Referenced in 5 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...
• # hIPPYlib

• Referenced in 4 articles [sw27290]
• hIPPYlib - Inverse Problem PYthon library. hIPPYlib implements state-of-the-art scalable adjoint-based algorithms ... based deterministic and Bayesian inverse problems. It builds on FEniCS for the discretization...
• # 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...
• # CEDRES++

• Referenced in 4 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...
• # 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 27 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...
• # DeepXDE

• Referenced in 2 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 complex-geometry...
• # convex_learning

• Referenced in 2 articles [sw32735]
• atom learning in a general, inverse problems context. Further, motivated by an improved numerical performance ... well-posedness and stability results for inverse problems are proven in a continuous setting. Exploiting...
• # mu-diff

• Referenced in 6 articles [sw19503]
• source Matlab toolbox for solving multiple scattering problems by clusters of circular cylinders. Any distribution ... used, many direct and inverse wave scattering problems can be solved with μ-diff. Examples...