tag:joss.theoj.org,2005:/papers/tagged/differentiation?page=2Journal of Open Source Software2023-06-28T09:40:55ZJournal of Open Source Softwarehttps://joss.theoj.orgtag:joss.theoj.org,2005:Paper/43912023-06-28T09:40:55Z2023-06-29T00:01:29ZQAOA.jl: Toolkit for the Quantum and Mean-Field Approximate Optimization Algorithmsacceptedv1.0.02023-04-06 13:09:54 UTC862023-06-28 09:40:55 UTC820235364TimBodeInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, Germany0000-0001-8280-3891DmitryBagretsInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, Germany, Institute for Theoretical Physics, University of Cologne, 50937 Cologne, GermanyAditiMisra-SpieldennerTheoretical Physics, Saarland University, 66123 Saarbrücken, GermanyTobiasStollenwerkInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, GermanyFrankK.WilhelmInstitute for Quantum Computing Analytics (PGI-12), Forschungszentrum Jülich, 52425 Jülich, Germany, Theoretical Physics, Saarland University, 66123 Saarbrücken, Germany10.21105/joss.05364https://doi.org/10.5281/zenodo.8086187Juliahttps://joss.theoj.org/papers/10.21105/joss.05364.pdfquantum algorithms, automatic differentiation, optimizationtag:joss.theoj.org,2005:Paper/43842023-06-13T14:37:03Z2023-06-14T00:01:23Zriccati: an adaptive, spectral solver for oscillatory ODEsacceptedv1.0.132023-04-04 00:38:09 UTC862023-06-13 14:37:03 UTC820235430FruzsinaJ.AgocsCenter for Computational Mathematics, Flatiron Institute, 162 Fifth Avenue, New York, 10010 NY, USA0000-0002-1763-5884AlexH.BarnettCenter for Computational Mathematics, Flatiron Institute, 162 Fifth Avenue, New York, 10010 NY, USA10.21105/joss.05430https://doi.org/10.5281/zenodo.8015503Pythonhttps://joss.theoj.org/papers/10.21105/joss.05430.pdfnumerical methods, ordinary differential equations, oscillatory problemstag:joss.theoj.org,2005:Paper/37462023-03-07T15:25:08Z2023-03-25T13:11:37ZSICOPOLIS-AD v2: tangent linear and adjoint modeling framework for ice sheet modeling enabled by automatic differentiation tool TapenadeacceptedSICOPOLIS-AD v2 (SICOPOLIS v_5.3) 2022-07-27 23:17:07 UTC832023-03-07 15:25:08 UTC820234679ShreyasSunilGaikwadOden Institute for Computational Engineering and Sciences, University of Texas at Austin, USA0000-0003-2079-4218LaurentHascoetInstitut National de Recherche en Informatique et Automatique, France0000-0002-5361-0713SriHari KrishnaNarayananMathematics and Computer Science Division, Argonne National Laboratory, USA0000-0003-0388-5943LizCurry-LoganOden Institute for Computational Engineering and Sciences, University of Texas at Austin, USARalfGreveInstitute of Low Temperature Science, Hokkaido University, Japan, Arctic Research Center, Hokkaido University, Japan0000-0002-1341-4777PatrickHeimbachOden Institute for Computational Engineering and Sciences, University of Texas at Austin, USA, Jackson School of Geosciences, University of Texas at Austin, USA, Institute for Geophysics, University of Texas at Austin, USA0000-0003-3925-616110.21105/joss.04679https://doi.org/10.5281/zenodo.7648249C, Fortran, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04679.pdfSICOPOLIS-AD, Automatic Differentiation, Inverse modeling, Data assimilationtag:joss.theoj.org,2005:Paper/31932022-06-27T07:45:42Z2022-06-28T00:00:49ZDune-MMesh: The Dune Grid Module for Moving Interfacesaccepted1.32021-11-25 15:53:05 UTC742022-06-27 07:45:42 UTC720223959SamuelBurbullaUniversity of Stuttgart, Germany0000-0002-2566-9777AndreasDednerUniversity of Warwick, UKMaximilianHörlUniversity of Stuttgart, GermanyChristianRohdeUniversity of Stuttgart, Germany10.21105/joss.03959https://doi.org/10.5281/zenodo.6705603C++, C, GLSLhttps://joss.theoj.org/papers/10.21105/joss.03959.pdfPython, Dune, partial differential equations, mixed-dimensional, moving meshtag:joss.theoj.org,2005:Paper/34092022-06-14T21:26:52Z2022-06-15T00:00:34ZBioDeg: A finite element software for the simulation of the corrosion and biodegradation process in metallic biomaterialsacceptedv0.82022-03-03 22:54:40 UTC742022-06-14 21:26:52 UTC720224281MojtabaBarzegariBiomechanics Section, Department of Mechanical Engineering, KU Leuven, Belgium0000-0002-1456-0610LiesbetGerisBiomechanics Section, Department of Mechanical Engineering, KU Leuven, Belgium, Biomechanics Research Unit, GIGA in Silico Medicine, University of Liège, Belgium0000-0002-8180-144510.21105/joss.04281https://github.com/mbarzegary/BioDeg-UI/releases/tag/v0.8.1C++https://joss.theoj.org/papers/10.21105/joss.04281.pdfcomputer simulation, finite element method, corrosion process, partial differential equation, biomaterialstag:joss.theoj.org,2005:Paper/32942022-06-09T14:33:25Z2022-06-10T00:01:17ZGridapDistributed: a massively parallel finite element toolbox in Juliaacceptedv0.2.42022-01-18 08:34:54 UTC742022-06-09 14:33:25 UTC720224157SantiagoBadiaSchool of Mathematics, Monash University, Clayton, Victoria, 3800, Australia., Centre Internacional de Mètodes Numèrics en Enginyeria, Esteve Terrades 5, E-08860 Castelldefels, Spain.0000-0003-2391-4086AlbertoF.MartínSchool of Mathematics, Monash University, Clayton, Victoria, 3800, Australia.0000-0001-5751-4561FrancescVerdugoCentre Internacional de Mètodes Numèrics en Enginyeria, Esteve Terrades 5, E-08860 Castelldefels, Spain.0000-0003-3667-443X10.21105/joss.04157https://doi.org/10.5281/zenodo.6622081Juliahttps://joss.theoj.org/papers/10.21105/joss.04157.pdfPartial Differential Equations, Finite Elements, Distributed memory parallelization, High Performance Computingtag:joss.theoj.org,2005:Paper/30762022-05-25T16:21:48Z2022-05-26T00:01:24Z`QuasinormalModes.jl`: A Julia package for computing discrete eigenvalues of second order ODEsacceptedv1.0.02021-09-22 14:45:11 UTC732022-05-25 16:21:48 UTC720224077LucasTimotheoSanchesCentro de Ciências Naturais e Humanas, Universidade Federal do ABC (UFABC)0000-0001-6764-181210.21105/joss.04077https://doi.org/10.5281/zenodo.6478503Julia, Pythonhttps://joss.theoj.org/papers/10.21105/joss.04077.pdfDifferential equations, Black holes, Discrete eigenvaluestag:joss.theoj.org,2005:Paper/30652022-04-21T09:15:30Z2022-04-22T00:00:21ZGiNaCDE: the high-performance F-expansion and First Integral Methods with C++ library for solving Nonlinear Differential Equationsacceptedv1.0.02021-09-12 05:42:15 UTC722022-04-21 09:15:30 UTC720223885MithunBairagiDepartment of Physics, The University of Burdwan, Golapbag 713104, West Bengal, India0000-0002-9678-462510.21105/joss.03885https://doi.org/10.5281/zenodo.6366056C++https://joss.theoj.org/papers/10.21105/joss.03885.pdfsymbolic computations, nonlinear partial differential equations, F-expansion method, First integral methodtag:joss.theoj.org,2005:Paper/31712022-03-22T17:09:43Z2022-10-11T07:01:39ZPyNumDiff: A Python package for numerical differentiation of noisy time-series dataacceptedv0.0.32021-11-15 19:13:23 UTC712022-03-22 17:09:43 UTC720224078FlorisVan BreugelDepartment of Mechanical Engineering, University of Nevada at RenoYuyingLiuDepartment of Applied Mathematics, University of WashingtonBingniW.BruntonDepartment of Biology, University of WashingtonJ.NathanKutzDepartment of Applied Mathematics, University of Washington10.21105/joss.04078https://doi.org/10.5281/zenodo.6374098Pythonhttps://joss.theoj.org/papers/10.21105/joss.04078.pdfnumerical differentiation, denoising, dynamics, time series, machine learningtag:joss.theoj.org,2005:Paper/26892022-02-14T22:14:53Z2022-02-21T18:40:07Znnde: A Python package for solving differential equations using neural networksaccepted0.0.72021-05-22 14:20:45 UTC702022-02-14 22:14:53 UTC720223465EricWinterDepartment of Physics and Astronomy, George Mason University, Fairfax, Virginia, USA0000-0001-5226-2107R.s.WeigelDepartment of Physics and Astronomy, George Mason University, Fairfax, Virginia, USA0000-0002-9521-522810.21105/joss.03465https://doi.org/10.5281/zenodo.5879387Pythonhttps://joss.theoj.org/papers/10.21105/joss.03465.pdfneural networks, differential equations