Lukashevich, D.; Tyukin, I.; Brilliantov, N. Knowledge-informed neuro-integrators for aggregation kinetics. (English) Zbl 07810062 Commun. Nonlinear Sci. Numer. Simul. 131, Article ID 107870, 22 p. (2024). MSC: 68T07 62R07 65L05 65L10 92C45 PDFBibTeX XMLCite \textit{D. Lukashevich} et al., Commun. Nonlinear Sci. Numer. Simul. 131, Article ID 107870, 22 p. (2024; Zbl 07810062) Full Text: DOI arXiv
O’Leary-Roseberry, Thomas; Chen, Peng; Villa, Umberto; Ghattas, Omar Derivative-informed neural operator: an efficient framework for high-dimensional parametric derivative learning. (English) Zbl 07807978 J. Comput. Phys. 496, Article ID 112555, 21 p. (2024). MSC: 35Qxx 35Rxx 65Cxx PDFBibTeX XMLCite \textit{T. O'Leary-Roseberry} et al., J. Comput. Phys. 496, Article ID 112555, 21 p. (2024; Zbl 07807978) Full Text: DOI arXiv
Kapadia, Harshit; Feng, Lihong; Benner, Peter Active-learning-driven surrogate modeling for efficient simulation of parametric nonlinear systems. (English) Zbl 07796680 Comput. Methods Appl. Mech. Eng. 419, Article ID 116657, 36 p. (2024). MSC: 76-XX 92-XX PDFBibTeX XMLCite \textit{H. Kapadia} et al., Comput. Methods Appl. Mech. Eng. 419, Article ID 116657, 36 p. (2024; Zbl 07796680) Full Text: DOI arXiv
Liu, Jingfei; Jiang, Chao Surrogate modeling for high dimensional uncertainty propagation via deep kernel polynomial chaos expansion. (English) Zbl 1525.68134 Appl. Math. Modelling 122, 167-186 (2023). MSC: 68T07 33C45 65C20 PDFBibTeX XMLCite \textit{J. Liu} and \textit{C. Jiang}, Appl. Math. Modelling 122, 167--186 (2023; Zbl 1525.68134) Full Text: DOI
Li, Tianyi; Buzzicotti, Michele; Biferale, Luca; Bonaccorso, Fabio; Chen, Shiyi; Wan, Minping Multi-scale reconstruction of turbulent rotating flows with proper orthogonal decomposition and generative adversarial networks. (English) Zbl 1525.76080 J. Fluid Mech. 971, Paper No. A3, 34 p. (2023). MSC: 76M99 76F99 76U05 68T07 68T05 PDFBibTeX XMLCite \textit{T. Li} et al., J. Fluid Mech. 971, Paper No. A3, 34 p. (2023; Zbl 1525.76080) Full Text: DOI OA License
Uy, Wayne Isaac Tan; Hartmann, Dirk; Peherstorfer, Benjamin Operator inference with roll outs for learning reduced models from scarce and low-quality data. (English) Zbl 07731330 Comput. Math. Appl. 145, 224-239 (2023). MSC: 93B11 93C15 93B28 PDFBibTeX XMLCite \textit{W. I. T. Uy} et al., Comput. Math. Appl. 145, 224--239 (2023; Zbl 07731330) Full Text: DOI arXiv
Li, Sijing; Zhang, Cheng; Zhang, Zhiwen; Zhao, Hongkai A data-driven and model-based accelerated Hamiltonian Monte Carlo method for Bayesian elliptic inverse problems. (English) Zbl 1517.62030 Stat. Comput. 33, No. 4, Paper No. 90, 16 p. (2023). MSC: 62-08 35R60 60J22 65C05 65N21 65N30 78M34 PDFBibTeX XMLCite \textit{S. Li} et al., Stat. Comput. 33, No. 4, Paper No. 90, 16 p. (2023; Zbl 1517.62030) Full Text: DOI arXiv
Wang, Qingsong; Cui, Chunfeng; Han, Deren Accelerated doubly stochastic gradient descent for tensor CP decomposition. (English) Zbl 1515.65110 J. Optim. Theory Appl. 197, No. 2, 665-704 (2023). MSC: 65F99 15A69 90C26 90C30 PDFBibTeX XMLCite \textit{Q. Wang} et al., J. Optim. Theory Appl. 197, No. 2, 665--704 (2023; Zbl 1515.65110) Full Text: DOI
Brence, Jure; Tanevski, Jovan; Adams, Jennifer; Malina, Edward; Džeroski, Sašo Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations. (English) Zbl 07702705 Mach. Learn. 112, No. 4, 1337-1363 (2023). MSC: 68T05 PDFBibTeX XMLCite \textit{J. Brence} et al., Mach. Learn. 112, No. 4, 1337--1363 (2023; Zbl 07702705) Full Text: DOI
Romor, Francesco; Stabile, Giovanni; Rozza, Gianluigi Non-linear manifold reduced-order models with convolutional autoencoders and reduced over-collocation method. (English) Zbl 07698834 J. Sci. Comput. 94, No. 3, Paper No. 74, 39 p. (2023). MSC: 68T07 65M22 65D15 PDFBibTeX XMLCite \textit{F. Romor} et al., J. Sci. Comput. 94, No. 3, Paper No. 74, 39 p. (2023; Zbl 07698834) Full Text: DOI arXiv
Teng, Yuankai; Wang, Zhu; Ju, Lili; Gruber, Anthony; Zhang, Guannan Level set learning with pseudoreversible neural networks for nonlinear dimension reduction in function approximation. (English) Zbl 1515.65047 SIAM J. Sci. Comput. 45, No. 3, A1148-A1171 (2023). MSC: 65D15 65D40 68U07 PDFBibTeX XMLCite \textit{Y. Teng} et al., SIAM J. Sci. Comput. 45, No. 3, A1148--A1171 (2023; Zbl 1515.65047) Full Text: DOI arXiv
Buchfink, Patrick; Glas, Silke; Haasdonk, Bernard Symplectic model reduction of Hamiltonian systems on nonlinear manifolds and approximation with weakly symplectic autoencoder. (English) Zbl 07673289 SIAM J. Sci. Comput. 45, No. 2, A289-A311 (2023). MSC: 65P10 34C20 37J25 37M15 37N30 PDFBibTeX XMLCite \textit{P. Buchfink} et al., SIAM J. Sci. Comput. 45, No. 2, A289--A311 (2023; Zbl 07673289) Full Text: DOI arXiv
Fu, Jinlong; Xiao, Dunhui; Fu, Rui; Li, Chenfeng; Zhu, Chuanhua; Arcucci, Rossella; Navon, Ionel M. Physics-data combined machine learning for parametric reduced-order modelling of nonlinear dynamical systems in small-data regimes. (English) Zbl 07644844 Comput. Methods Appl. Mech. Eng. 404, Article ID 115771, 49 p. (2023). MSC: 68-XX 65-XX PDFBibTeX XMLCite \textit{J. Fu} et al., Comput. Methods Appl. Mech. Eng. 404, Article ID 115771, 49 p. (2023; Zbl 07644844) Full Text: DOI
Paris, Romain; Beneddine, Samir; Dandois, Julien Reinforcement-learning-based actuator selection method for active flow control. (English) Zbl 1507.76055 J. Fluid Mech. 955, Paper No. A8, 34 p. (2023). MSC: 76D55 76M22 76M20 76M99 PDFBibTeX XMLCite \textit{R. Paris} et al., J. Fluid Mech. 955, Paper No. A8, 34 p. (2023; Zbl 1507.76055) Full Text: DOI arXiv
Li, Wenjie; Wang, Zhanyu; Zhang, Yichen; Cheng, Guang Variance reduction on general adaptive stochastic mirror descent. (English) Zbl 07694475 Mach. Learn. 111, No. 12, 4639-4677 (2022). MSC: 68T05 PDFBibTeX XMLCite \textit{W. Li} et al., Mach. Learn. 111, No. 12, 4639--4677 (2022; Zbl 07694475) Full Text: DOI arXiv
Nguyen, Lam M.; van Dijk, Marten; Phan, Dzung T.; Nguyen, Phuong Ha; Weng, Tsui-Wei; Kalagnanam, Jayant R. Finite-sum smooth optimization with SARAH. (English) Zbl 1494.90087 Comput. Optim. Appl. 82, No. 3, 561-593 (2022). MSC: 90C26 PDFBibTeX XMLCite \textit{L. M. Nguyen} et al., Comput. Optim. Appl. 82, No. 3, 561--593 (2022; Zbl 1494.90087) Full Text: DOI arXiv
Yang, Jiang; Zhu, Quanhui A local deep learning method for solving high order partial differential equations. (English) Zbl 1499.35577 Numer. Math., Theory Methods Appl. 15, No. 1, 42-67 (2022). MSC: 35Q68 PDFBibTeX XMLCite \textit{J. Yang} and \textit{Q. Zhu}, Numer. Math., Theory Methods Appl. 15, No. 1, 42--67 (2022; Zbl 1499.35577) Full Text: DOI arXiv
Hertrich, Johannes; Steidl, Gabriele Inertial stochastic PALM and applications in machine learning. (English) Zbl 1487.65065 Sampl. Theory Signal Process. Data Anal. 20, No. 1, Paper No. 4, 33 p. (2022). MSC: 65K05 60H25 90C15 90C26 68T07 PDFBibTeX XMLCite \textit{J. Hertrich} and \textit{G. Steidl}, Sampl. Theory Signal Process. Data Anal. 20, No. 1, Paper No. 4, 33 p. (2022; Zbl 1487.65065) Full Text: DOI arXiv
Galassi, Riccardo Malpica; Ciottoli, Pietro Paolo; Valorani, Mauro; Im, Hong G. An adaptive time-integration scheme for stiff chemistry based on computational singular perturbation and artificial neural networks. (English) Zbl 07517165 J. Comput. Phys. 451, Article ID 110875, 18 p. (2022). MSC: 80Axx 65Lxx 34Exx PDFBibTeX XMLCite \textit{R. M. Galassi} et al., J. Comput. Phys. 451, Article ID 110875, 18 p. (2022; Zbl 07517165) Full Text: DOI
Kim, Youngkyu; Choi, Youngsoo; Widemann, David; Zohdi, Tarek A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder. (English) Zbl 07517153 J. Comput. Phys. 451, Article ID 110841, 29 p. (2022). MSC: 65Mxx 65Lxx 68Txx PDFBibTeX XMLCite \textit{Y. Kim} et al., J. Comput. Phys. 451, Article ID 110841, 29 p. (2022; Zbl 07517153) Full Text: DOI arXiv
Tran-Dinh, Quoc; Pham, Nhan H.; Phan, Dzung T.; Nguyen, Lam M. A hybrid stochastic optimization framework for composite nonconvex optimization. (English) Zbl 1489.90143 Math. Program. 191, No. 2 (A), 1005-1071 (2022). MSC: 90C26 90-08 PDFBibTeX XMLCite \textit{Q. Tran-Dinh} et al., Math. Program. 191, No. 2 (A), 1005--1071 (2022; Zbl 1489.90143) Full Text: DOI arXiv
Fujisawa, Masahiro; Sato, Issei Multilevel Monte Carlo variational inference. (English) Zbl 07626793 J. Mach. Learn. Res. 22, Paper No. 278, 44 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{M. Fujisawa} and \textit{I. Sato}, J. Mach. Learn. Res. 22, Paper No. 278, 44 p. (2021; Zbl 07626793) Full Text: arXiv Link
D’Eramo, Carlo; Cini, Andrea; Nuara, Alessandro; Pirotta, Matteo; Alippi, Cesare; Peters, Jan; Restelli, Marcello Gaussian approximation for bias reduction in Q-learning. (English) Zbl 07626792 J. Mach. Learn. Res. 22, Paper No. 277, 51 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{C. D'Eramo} et al., J. Mach. Learn. Res. 22, Paper No. 277, 51 p. (2021; Zbl 07626792) Full Text: Link
Wang, Yingfan; Huang, Haiyang; Rudin, Cynthia; Shaposhnik, Yaron Understanding how dimension reduction tools work: an empirical approach to deciphering t-SNE, UMAP, TriMap, and PaCMAP for data visualization. (English) Zbl 07626716 J. Mach. Learn. Res. 22, Paper No. 201, 73 p. (2021). MSC: 68T05 PDFBibTeX XMLCite \textit{Y. Wang} et al., J. Mach. Learn. Res. 22, Paper No. 201, 73 p. (2021; Zbl 07626716) Full Text: arXiv Link
Gruber, Anthony; Gunzburger, Max; Ju, Lili; Teng, Yuankai; Wang, Zhu Nonlinear level set learning for function approximation on sparse data with applications to parametric differential equations. (English) Zbl 1499.65052 Numer. Math., Theory Methods Appl. 14, No. 4, 839-861 (2021). MSC: 65D15 65D40 PDFBibTeX XMLCite \textit{A. Gruber} et al., Numer. Math., Theory Methods Appl. 14, No. 4, 839--861 (2021; Zbl 1499.65052) Full Text: DOI arXiv
Girin, Laurent; Leglaive, Simon; Bie, Xiaoyu; Diard, Julien; Hueber, Thomas; Alameda-Pineda, Xavier Dynamical variational autoencoders: a comprehensive review. (English) Zbl 1491.68153 Found. Trends Mach. Learn. 15, No. 1-2, 1-175 (2021). MSC: 68T05 68T07 68-02 PDFBibTeX XMLCite \textit{L. Girin} et al., Found. Trends Mach. Learn. 15, No. 1--2, 1--175 (2021; Zbl 1491.68153) Full Text: DOI arXiv
Yang, Zhuang; Chen, Zengping; Wang, Cheng Accelerating mini-batch SARAH by step size rules. (English) Zbl 1484.90060 Inf. Sci. 558, 157-173 (2021). MSC: 90C15 PDFBibTeX XMLCite \textit{Z. Yang} et al., Inf. Sci. 558, 157--173 (2021; Zbl 1484.90060) Full Text: DOI arXiv
Wang, Ting; Knap, Jaroslaw Stochastic gradient descent for semilinear elliptic equations with uncertainties. (English) Zbl 07510059 J. Comput. Phys. 426, Article ID 109945, 21 p. (2021). MSC: 65-XX 60-XX PDFBibTeX XMLCite \textit{T. Wang} and \textit{J. Knap}, J. Comput. Phys. 426, Article ID 109945, 21 p. (2021; Zbl 07510059) Full Text: DOI arXiv
Luo, Hengrui; Patania, Alice; Kim, Jisu; Vejdemo-Johansson, Mikael Generalized penalty for circular coordinate representation. (English) Zbl 1493.62649 Found. Data Sci. 3, No. 4, 729-767 (2021). MSC: 62R40 55N31 68T09 PDFBibTeX XMLCite \textit{H. Luo} et al., Found. Data Sci. 3, No. 4, 729--767 (2021; Zbl 1493.62649) Full Text: DOI arXiv
Lye, Kjetil O.; Mishra, Siddhartha; Molinaro, Roberto A multi-level procedure for enhancing accuracy of machine learning algorithms. (English) Zbl 1482.65149 Eur. J. Appl. Math. 32, No. 3, 436-469 (2021). MSC: 65M06 65M08 65M75 68T07 62F15 62C10 PDFBibTeX XMLCite \textit{K. O. Lye} et al., Eur. J. Appl. Math. 32, No. 3, 436--469 (2021; Zbl 1482.65149) Full Text: DOI arXiv
El Filali Ech-Chafiq, Zineb; Lelong, Jérôme; Reghai, Adil Automatic control variates for option pricing using neural networks. (English) Zbl 1469.91063 Monte Carlo Methods Appl. 27, No. 2, 91-104 (2021). MSC: 91G60 65C05 68T07 91G20 PDFBibTeX XMLCite \textit{Z. El Filali Ech-Chafiq} et al., Monte Carlo Methods Appl. 27, No. 2, 91--104 (2021; Zbl 1469.91063) Full Text: DOI HAL
Hernandez, Quercus; Badías, Alberto; González, David; Chinesta, Francisco; Cueto, Elías Deep learning of thermodynamics-aware reduced-order models from data. (English) Zbl 1506.80005 Comput. Methods Appl. Mech. Eng. 379, Article ID 113763, 18 p. (2021). MSC: 80M99 65Q99 80A99 68T05 PDFBibTeX XMLCite \textit{Q. Hernandez} et al., Comput. Methods Appl. Mech. Eng. 379, Article ID 113763, 18 p. (2021; Zbl 1506.80005) Full Text: DOI arXiv Link
Angeli, Andrea; Desmet, Wim; Naets, Frank Deep learning for model order reduction of multibody systems to minimal coordinates. (English) Zbl 1506.70010 Comput. Methods Appl. Mech. Eng. 373, Article ID 113517, 19 p. (2021). MSC: 70E55 70-08 PDFBibTeX XMLCite \textit{A. Angeli} et al., Comput. Methods Appl. Mech. Eng. 373, Article ID 113517, 19 p. (2021; Zbl 1506.70010) Full Text: DOI
Paris, Romain; Beneddine, Samir; Dandois, Julien Robust flow control and optimal sensor placement using deep reinforcement learning. (English) Zbl 1461.76373 J. Fluid Mech. 913, Paper No. A25, 34 p. (2021). MSC: 76N06 76N25 PDFBibTeX XMLCite \textit{R. Paris} et al., J. Fluid Mech. 913, Paper No. A25, 34 p. (2021; Zbl 1461.76373) Full Text: DOI arXiv
Gao, Han; Wang, Jian-Xun; Zahr, Matthew J. Non-intrusive model reduction of large-scale, nonlinear dynamical systems using deep learning. (English) Zbl 1489.93013 Physica D 412, Article ID 132614, 12 p. (2020). MSC: 93B11 93A15 93C10 68T07 PDFBibTeX XMLCite \textit{H. Gao} et al., Physica D 412, Article ID 132614, 12 p. (2020; Zbl 1489.93013) Full Text: DOI arXiv
Cui, Chunfeng; Zhang, Kaiqi; Daulbaev, Talgat; Gusak, Julia; Oseledets, Ivan; Zhang, Zheng Active subspace of neural networks: structural analysis and universal attacks. (English) Zbl 1486.90152 SIAM J. Math. Data Sci. 2, No. 4, 1096-1122 (2020). MSC: 90C26 15A18 62G35 PDFBibTeX XMLCite \textit{C. Cui} et al., SIAM J. Math. Data Sci. 2, No. 4, 1096--1122 (2020; Zbl 1486.90152) Full Text: DOI arXiv
Lee, Kookjin; Carlberg, Kevin T. Model reduction of dynamical systems on nonlinear manifolds using deep convolutional autoencoders. (English) Zbl 1454.65184 J. Comput. Phys. 404, Article ID 108973, 32 p. (2020). MSC: 65P99 37M99 68T07 PDFBibTeX XMLCite \textit{K. Lee} and \textit{K. T. Carlberg}, J. Comput. Phys. 404, Article ID 108973, 32 p. (2020; Zbl 1454.65184) Full Text: DOI arXiv
Wang, Qian; Ripamonti, Nicolò; Hesthaven, Jan S. Recurrent neural network closure of parametric POD-Galerkin reduced-order models based on the Mori-Zwanzig formalism. (English) Zbl 1436.65093 J. Comput. Phys. 410, Article ID 109402, 31 p. (2020). MSC: 65L60 65F55 65L06 PDFBibTeX XMLCite \textit{Q. Wang} et al., J. Comput. Phys. 410, Article ID 109402, 31 p. (2020; Zbl 1436.65093) Full Text: DOI Link
Rocha, I. B. C. M.; Kerfriden, P.; van der Meer, F. P. Micromechanics-based surrogate models for the response of composites: a critical comparison between a classical mesoscale constitutive model, hyper-reduction and neural networks. (English) Zbl 1477.74020 Eur. J. Mech., A, Solids 82, Article ID 103995, 15 p. (2020). MSC: 74E30 74S99 74C99 PDFBibTeX XMLCite \textit{I. B. C. M. Rocha} et al., Eur. J. Mech., A, Solids 82, Article ID 103995, 15 p. (2020; Zbl 1477.74020) Full Text: DOI
Cheung, Siu Wun; Chung, Eric T.; Efendiev, Yalchin; Gildin, Eduardo; Wang, Yating; Zhang, Jingyan Deep global model reduction learning in porous media flow simulation. (English) Zbl 1434.76121 Comput. Geosci. 24, No. 1, 261-274 (2020). MSC: 76S05 68T05 68T07 PDFBibTeX XMLCite \textit{S. W. Cheung} et al., Comput. Geosci. 24, No. 1, 261--274 (2020; Zbl 1434.76121) Full Text: DOI arXiv
Koeppe, Arnd; Bamer, Franz; Markert, Bernd An intelligent nonlinear meta element for elastoplastic continua: deep learning using a new time-distributed residual U-net architecture. (English) Zbl 1442.74043 Comput. Methods Appl. Mech. Eng. 366, Article ID 113088, 24 p. (2020). MSC: 74C05 74S05 65N30 PDFBibTeX XMLCite \textit{A. Koeppe} et al., Comput. Methods Appl. Mech. Eng. 366, Article ID 113088, 24 p. (2020; Zbl 1442.74043) Full Text: DOI
Parish, Eric J.; Carlberg, Kevin T. Time-series machine-learning error models for approximate solutions to parameterized dynamical systems. (English) Zbl 1442.65446 Comput. Methods Appl. Mech. Eng. 365, Article ID 112990, 43 p. (2020). MSC: 65P99 70-08 62M10 62H30 PDFBibTeX XMLCite \textit{E. J. Parish} and \textit{K. T. Carlberg}, Comput. Methods Appl. Mech. Eng. 365, Article ID 112990, 43 p. (2020; Zbl 1442.65446) Full Text: DOI arXiv
Ma, Chao; Wang, Jianchun; E, Weinan Model reduction with memory and the machine learning of dynamical systems. (English) Zbl 1473.35450 Commun. Comput. Phys. 25, No. 4, 947-962 (2019). MSC: 35Q35 65P99 PDFBibTeX XMLCite \textit{C. Ma} et al., Commun. Comput. Phys. 25, No. 4, 947--962 (2019; Zbl 1473.35450) Full Text: DOI arXiv
Regazzoni, F.; Dedè, L.; Quarteroni, A. Machine learning for fast and reliable solution of time-dependent differential equations. (English) Zbl 1454.65185 J. Comput. Phys. 397, Article ID 108852, 26 p. (2019). MSC: 65P99 68T07 93B30 65K10 35K05 PDFBibTeX XMLCite \textit{F. Regazzoni} et al., J. Comput. Phys. 397, Article ID 108852, 26 p. (2019; Zbl 1454.65185) Full Text: DOI Link
Grigo, Constantin; Koutsourelakis, Phaedon-Stelios Bayesian model and dimension reduction for uncertainty propagation: applications in random media. (English) Zbl 1422.62377 SIAM/ASA J. Uncertain. Quantif. 7, 292-323 (2019). MSC: 62P30 62C10 65C20 35R60 PDFBibTeX XMLCite \textit{C. Grigo} and \textit{P.-S. Koutsourelakis}, SIAM/ASA J. Uncertain. Quantif. 7, 292--323 (2019; Zbl 1422.62377) Full Text: DOI arXiv
Tripathy, Rohit K.; Bilionis, Ilias Deep UQ: learning deep neural network surrogate models for high dimensional uncertainty quantification. (English) Zbl 1419.68084 J. Comput. Phys. 375, 565-588 (2018). MSC: 68T05 35R60 65N99 PDFBibTeX XMLCite \textit{R. K. Tripathy} and \textit{I. Bilionis}, J. Comput. Phys. 375, 565--588 (2018; Zbl 1419.68084) Full Text: DOI arXiv
Bottou, Léon; Curtis, Frank E.; Nocedal, Jorge Optimization methods for large-scale machine learning. (English) Zbl 1397.65085 SIAM Rev. 60, No. 2, 223-311 (2018). Reviewer: Tiit Riismaa (Tallinn) MSC: 65K05 68Q25 68T05 90C06 90C30 49Q10 PDFBibTeX XMLCite \textit{L. Bottou} et al., SIAM Rev. 60, No. 2, 223--311 (2018; Zbl 1397.65085) Full Text: DOI arXiv
Veliz-Cuba, Alan; Aguilar, Boris; Laubenbacher, Reinhard Dimension reduction of large sparse AND-NOT network models. (English) Zbl 1352.92069 Pauleve, Loic (ed.) et al., Post-proceedings of the 5th international workshop on static analysis and systems biology (SASB 2014), Munich, Germany, September 10, 2014. Amsterdam: Elsevier. Electronic Notes in Theoretical Computer Science 316, 83-95 (2015). MSC: 92C42 PDFBibTeX XMLCite \textit{A. Veliz-Cuba} et al., Electron. Notes Theor. Comput. Sci. 316, 83--95 (2015; Zbl 1352.92069) Full Text: DOI arXiv