Zasukhin, Sergey; Zasukhina, Elena Determination of hydrological model parameters by Newton method. (English) Zbl 1507.90179 Olenev, Nicholas N. (ed.) et al., Advances in optimization and applications. 12th international conference, OPTIMA 2021, Petrovac, Montenegro, September 27 – October 1, 2021. Revised selected papers. Cham: Springer. Commun. Comput. Inf. Sci. 1514, 273-285 (2021). MSC: 90C33 90C90 PDFBibTeX XMLCite \textit{S. Zasukhin} and \textit{E. Zasukhina}, Commun. Comput. Inf. Sci. 1514, 273--285 (2021; Zbl 1507.90179) Full Text: DOI
Zhou, Zijian; Yan, Zhenya Solving forward and inverse problems of the logarithmic nonlinear Schrödinger equation with \(\mathcal{PT}\)-symmetric harmonic potential via deep learning. (English) Zbl 1472.81089 Phys. Lett., A 387, Article ID 127010, 12 p. (2021). MSC: 81Q05 35Q55 81R05 35Q41 81P68 68T05 35C06 PDFBibTeX XMLCite \textit{Z. Zhou} and \textit{Z. Yan}, Phys. Lett., A 387, Article ID 127010, 12 p. (2021; Zbl 1472.81089) Full Text: DOI arXiv
Kulkarni, Mandar D.; Canfield, Robert A.; Patil, Mayuresh J. Nonintrusive continuum sensitivity analysis for fluid applications. (English) Zbl 1453.76175 J. Comput. Phys. 403, Article ID 109066, 24 p. (2020). MSC: 76M30 76M12 76N15 PDFBibTeX XMLCite \textit{M. D. Kulkarni} et al., J. Comput. Phys. 403, Article ID 109066, 24 p. (2020; Zbl 1453.76175) Full Text: DOI
Brothers, Michael D.; Foster, John T.; Millwater, Harry R. A comparison of different methods for calculating tangent-stiffness matrices in a massively parallel computational peridynamics code. (English) Zbl 1423.74953 Comput. Methods Appl. Mech. Eng. 279, 247-267 (2014). MSC: 74S30 65D25 PDFBibTeX XMLCite \textit{M. D. Brothers} et al., Comput. Methods Appl. Mech. Eng. 279, 247--267 (2014; Zbl 1423.74953) Full Text: DOI
Hogan, Robin J. Fast reverse-mode automatic differentiation using expression templates in C++. (English) Zbl 1369.65037 ACM Trans. Math. Softw. 40, No. 4, Article No. 26, 16 p. (2014). MSC: 65D25 PDFBibTeX XMLCite \textit{R. J. Hogan}, ACM Trans. Math. Softw. 40, No. 4, Article No. 26, 16 p. (2014; Zbl 1369.65037) Full Text: DOI
Papamarkou, Theodore; Mira, Antonietta; Girolami, Mark Zero variance differential geometric Markov chain Monte Carlo algorithms. (English) Zbl 1327.60140 Bayesian Anal. 9, No. 1, 97-128 (2014). MSC: 60J22 60D05 62-04 62F15 62J02 PDFBibTeX XMLCite \textit{T. Papamarkou} et al., Bayesian Anal. 9, No. 1, 97--128 (2014; Zbl 1327.60140) Full Text: DOI Euclid
Bücker, H. Martin; Slusanschi, Emil Second-order derivatives of the general-purpose finite element package SEPRAN via source transformation. (English) Zbl 1303.76085 Math. Comput. Simul. 81, No. 11, 2431-2439 (2011). MSC: 76M10 76T10 65D25 PDFBibTeX XMLCite \textit{H. M. Bücker} and \textit{E. Slusanschi}, Math. Comput. Simul. 81, No. 11, 2431--2439 (2011; Zbl 1303.76085) Full Text: DOI
Enciu, P.; Wurtz, F.; Gerbaud, L.; Delinchant, B. Automatic differentiation for electromagnetic models used in optimization. (English) Zbl 1177.78070 COMPEL 28, No. 5, 1313-1326 (2009). MSC: 78M50 90C52 65D25 PDFBibTeX XMLCite \textit{P. Enciu} et al., COMPEL 28, No. 5, 1313--1326 (2009; Zbl 1177.78070) Full Text: DOI
Phipps, Eric T.; Bartlett, Roscoe A.; Gay, David M.; Hoekstra, Robert J. Large-scale transient sensitivity analysis of a radiation-damaged bipolar junction transistor via automatic differentiation. (English) Zbl 1147.78003 Bischof, Christian H. (ed.) et al., Advances in automatic differentiation. Selected papers based on the presentations at the 5th international conference on automatic differentiation, Bonn, Germany, August 11–15, 2008. Berlin: Springer (ISBN 978-3-540-68935-5/pbk). Lecture Notes in Computational Science and Engineering 64, 351-362 (2008). MSC: 78M10 78-04 78M50 90C31 65F10 65D25 PDFBibTeX XMLCite \textit{E. T. Phipps} et al., Lect. Notes Comput. Sci. Eng. 64, 351--362 (2008; Zbl 1147.78003)
Bücker, H. Martin; Petera, Monika; Vehreschild, Andre Code optimization techniques in source transformations for interpreted languages. (English) Zbl 1156.68621 Bischof, Christian H. (ed.) et al., Advances in automatic differentiation. Selected papers based on the presentations at the 5th international conference on automatic differentiation, Bonn, Germany, August 11–15, 2008. Berlin: Springer (ISBN 978-3-540-68935-5/pbk). Lecture Notes in Computational Science and Engineering 64, 223-233 (2008). MSC: 68W30 PDFBibTeX XMLCite \textit{H. M. Bücker} et al., Lect. Notes Comput. Sci. Eng. 64, 223--233 (2008; Zbl 1156.68621)
Gay, David M. Semiautomatic differentiation for efficient gradient computations. (English) Zbl 1270.65012 Bücker, Martin (ed.) et al., Automatic differentiation: Applications, theory, and implementations. Selected papers based on the presentation at the 4th international conference on automatic differentiation (AD), Chicago, IL, USA, July 20–23, 2004. Berlin: Springer (ISBN 3-540-28403-6/pbk). Lecture Notes in Computational Science and Engineering 50, 147-158 (2006). MSC: 65D25 65Y99 PDFBibTeX XMLCite \textit{D. M. Gay}, Lect. Notes Comput. Sci. Eng. 50, 147--158 (2006; Zbl 1270.65012)
Bartlett, Roscoe A.; Gay, David M.; Phipps, Eric T. Automatic differentiation of C++ codes for large-scale scientific computing. (English) Zbl 1157.65333 Alexandrov, Vassil N. (ed.) et al., Computational science – ICCS 2006. 6th international conference, Reading, UK, May 28–31, 2006. Proceedings, Part IV. Berlin: Springer (ISBN 3-540-34385-7/pbk). Lecture Notes in Computer Science 3994, 525-532 (2006). MSC: 65D25 PDFBibTeX XMLCite \textit{R. A. Bartlett} et al., Lect. Notes Comput. Sci. 3994, 525--532 (2006; Zbl 1157.65333) Full Text: DOI