• # 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 shortest-path topological indices...
• # EASEA

• Referenced in 14 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...
• # CEDRES++

• Referenced in 10 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...
• # 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...
• # FaIMS

• Referenced in 9 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...
• # glasso

• Referenced in 457 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 10 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...
• # NLREG

• Referenced in 7 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...
• # nlpdegm

• Referenced in 10 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...
• # 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...
• # EIGIFP

• Referenced in 46 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...
• # EFD

• Referenced in 53 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...
• # RICPAC

• Referenced in 65 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...
• # 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...
• # FISTA

• Referenced in 4 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...
• # 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...
• # convex_learning

• Referenced in 4 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...