UNLocBoX
The UNLocboX is a matlab convex optimization toolbox part of the UnlocX project. It composed of the most used algorithms such as forward backward, Douglas-Rachford and ppxa. Moreover a all collection of proximal operators are available in order to implement problems very efficiently.
Keywords for this software
References in zbMATH (referenced in 325 articles )
Showing results 1 to 20 of 325.
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- Askham, Travis; Zheng, Peng; Aravkin, Aleksandr; Kutz, J. Nathan: Robust and scalable methods for the dynamic mode decomposition (2022)
- Briceño-Arias, Luis; Deride, Julio; Vega, Cristian: Random activations in primal-dual splittings for monotone inclusions with a priori information (2022)
- Grussler, Christian; Giselsson, Pontus: Efficient proximal mapping computation for low-rank inducing norms (2022)
- Mishra, Aditya; Müller, Christian L.: Robust regression with compositional covariates (2022)
- Ollier, Edouard: Fast selection of nonlinear mixed effect models using penalized likelihood (2022)
- Altuntac, Erdem: Choice of the parameters in a primal-dual algorithm for Bregman iterated variational regularization (2021)
- Bello-Cruz, Yunier; Li, Guoyin; Nghia, Tran T. A.: On the linear convergence of forward-backward splitting method. I: Convergence analysis (2021)
- Bonettini, Silvia; Porta, Federica; Ruggiero, Valeria; Zanni, Luca: Variable metric techniques for forward-backward methods in imaging (2021)
- Chouzenoux, Emilie; Pesquet, Jean-Christophe; Riddell, Cyril; Savanier, Marion; Trousset, Yves: Convergence of proximal gradient algorithm in the presence of adjoint mismatch (2021)
- Degras, David: Sparse group fused Lasso for model segmentation: a hybrid approach (2021)
- Dong, Qiao-Li; Li, Xiao-Huan; Cho, Yeol Je; Rassias, Themistocles M.: Multi-step inertial Krasnosel’skiǐ-Mann iteration with new inertial parameters arrays (2021)
- Gautam, Pankaj; Sahu, Daya Ram; Dixit, Avinash; Som, Tanmoy: Forward-backward-half forward dynamical systems for monotone inclusion problems with application to v-GNE (2021)
- Grishchenko, Dmitry; Iutzeler, Franck; Malick, Jérôme: Proximal gradient methods with adaptive subspace sampling (2021)
- Hertrich, Johannes; Neumayer, Sebastian; Steidl, Gabriele: Convolutional proximal neural networks and plug-and-play algorithms (2021)
- Hodgkinson, Liam; Salomone, Robert; Roosta, Fred: Implicit Langevin algorithms for sampling from log-concave densities (2021)
- Izuchukwu, Chinedu; Ugwunnadi, Godwin C.; Mewomo, Oluwatosin Temitope: Strong convergence theorem for family of minimization and monotone inclusion problems in Hadamard spaces (2021)
- Jaramillo, Gabriela; Venkataramani, Shankar C.: A modified split Bregman algorithm for computing microstructures through Young measures (2021)
- Johnstone, Patrick R.; Eckstein, Jonathan: Single-forward-step projective splitting: exploiting cocoercivity (2021)
- Jolaoso, Lateef Olakunle; Shehu, Yekini; Cho, Yeol Je: Convergence analysis for variational inequalities and fixed point problems in reflexive Banach spaces (2021)
- Kadu, Ajinkya; van Leeuwen, Tristan; Batenburg, K. Joost: CoShaRP: a convex program for single-shot tomographic shape sensing (2021)