Výsledky vyhledávání - inverse (problem OR problems) iterative minimization algorithm numerical

The Inverse Problem of Positive Autoconvolution Autor Finesso, Lorenzo, Spreij, Peter

“… After proving the existence of an optimal approximation, we derive an iterative descent algorithm of the alternating minimization type to find a minimizer…”
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Numerical resolution of an electromagnetic inverse medium problem at fixed frequency Autor de Buhan, M., Darbas, M.

“… We express the inverse problem as the minimization of a cost function representing the difference between the measured and predicted fields…”
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On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems Autor Liu, Risheng, Cheng, Shichao, He, Yi, Fan, Xin, Lin, Zhouchen, Luo, Zhongxuan

“…Numerous tasks at the core of statistics, learning and vision areas are specific cases of ill-posed inverse problems…”
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New self-adaptive step size algorithms for solving split variational inclusion problems and its applications Autor Tang, Yan, Gibali, Aviv

“…In this paper, we study a special instance of the split inverse problem (SIP), which is the split variational inclusion problem (SVIP…”
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A majorization–minimization-based method for nonconvex inverse rig problems in facial animation: algorithm derivation Autor Racković, Stevo, Soares, Cláudia, Jakovetić, Dušan, Desnica, Zoranka

“… A second-order blendshape approximation leads to higher fidelity facial animation but generates a non-linear least squares optimization problem with high dimensionality…”
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Minimization of Non-smooth, Non-convex Functionals by Iterative Thresholding Autor Bredies, Kristian, Lorenz, Dirk A., Reiterer, Stefan

“…Convergence analysis is carried out for a forward-backward splitting/generalized gradient projection method for the minimization of a special class of non-smooth and genuinely non-convex minimization…”
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Inverse source problem for a diffusion equation involving the fractional spectral Laplacian Autor BenSalah, Mohamed, Hassine, Maatoug

“…‐posed inverse problem is formulated as a minimization one. The existence, uniqueness, and stability of the solution are discussed…”
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Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems Autor Giryes, Raja, Eldar, Yonina C., Bronstein, Alex M., Sapiro, Guillermo

“…Solving inverse problems with iterative algorithms is popular, especially for large data…”
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Shrinkage-Thresholding Enhanced Born Iterative Method for Solving 2D Inverse Electromagnetic Scattering Problem Autor Desmal, Abdulla, Bagci, Hakan

“…) algorithms within the Born iterative method (BIM) is proposed for solving the two-dimensional inverse electromagnetic scattering problem…”
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An enhanced sparse regularization method for impact force identification Autor Qiao, Baijie, Liu, Junjiang, Liu, Jinxin, Yang, Zhibo, Chen, Xuefeng

“…•A weighted l1-norm convex optimization model for impact force identification is developed.•Iteratively reweighted l1-norm minimization algorithm is proposed for solving impact force identification…”
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Derivative-free superiorization: principle and algorithm Autor Censor, Yair, Garduño, Edgar, Helou, Elias S., Herman, Gabor T.

“…The superiorization methodology is intended to work with input data of constrained minimization problems, that is, a target function and a set of constraints…”
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Halpern-type iterative process for solving split common fixed point and monotone variational inclusion problem between Banach spaces Autor Taiwo, A., Alakoya, T. O., Mewomo, O. T.

“… and fixed point problem and illustrate the efficiency and performance of our algorithm with a numerical example…”
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Superiorization and bounded perturbation resilience of a gradient projection algorithm solving the convex minimization problem Autor Ertürk, Müzeyyen, Salkım, Ahmet

“… We obtain that the perturbed version of this gradient projection algorithm converges weakly to a solution of the convex minimization problem just like itself…”
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The Equivalence of Half-Quadratic Minimization and the Gradient Linearization Iteration Autor Nikolova, M., Chan, R.H.

“…) regularization term. Mainly because of the latter term, the calculation of the solution is slow and cumbersome. Half-quadratic (HQ) minimization (multiplicative form…”
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Iterative reconstruction algorithm for the inverse problems in electrical capacitance tomography Autor Guo, Ge, Tong, Guowei, Lu, Lian, Liu, Shi

“… The imaging algorithms play crucial roles in practical ECT image reconstruction problems. Different from previous numerical methods, this study proposes a novel cost…”
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A Self-Adaptive Algorithm for the Common Solution of the Split Minimization Problem and the Fixed Point Problem Autor Kaewyong, Nattakarn, Sitthithakerngkiet, Kanokwan

“…In this paper, a new self-adaptive step size algorithm to approximate the solution of the split minimization problem and the fixed point problem of nonexpansive mappings was constructed…”
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Detection of Simulated Brain Strokes Using Microwave Tomography Autor Coli, Vanna Lisa, Tournier, Pierre-Henri, Dolean, Victorita, Kanfoud, Ibtissam El, Pichot, Christian, Migliaccio, Claire, Blanc-Feraud, Laure

“…Brain strokes are one of the leading causes of disability and mortality in adults in developed countries. Ischemic stroke (85% of total cases) and hemorrhagic…”
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A Splitting-Based Iterative Algorithm for Accelerated Statistical X-Ray CT Reconstruction Autor Ramani, S., Fessler, J. A.

“…). However, the huge dynamic range of the statistical weights leads to a highly shift-variant inverse problem making it difficult to precondition and accelerate existing iterative algorithms that attack…”
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Generalized cross validation for ℓp-ℓq minimization Autor Buccini, Alessandro, Reichel, Lothar

“…Discrete ill-posed inverse problems arise in various areas of science and engineering…”
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Gridless Sparse ISAR Imaging via 2-D Fast Reweighted Atomic Norm Minimization Autor Mingjiu, Lv, Chen, Wenfeng, Ma, Jianchao, Yang, Jun, Cheng, Qi, Ma, Xiaoyan

“… imaging based on the 2-D atomic norm minimization (2-D ANM) framework. Next, a reweighting optimization strategy is adopted, which iteratively carries out the 2-D ANM…”
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