Linda Petzold

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Dan GillespieAdresse e-mail validée de mailaps.org
Yang CaoComputer Science Department, Virginia techAdresse e-mail validée de cs.vt.edu
Uri AscherProfessor of Computer Science, UBCAdresse e-mail validée de cs.ubc.ca
Francis DoyleHarvard UniversityAdresse e-mail validée de seas.harvard.edu
Brian DrawertComputer Science, University of North Carolina - AshevilleAdresse e-mail validée de unca.edu
Radu SerbanUniversity of Wisconsin - MadisonAdresse e-mail validée de wisc.edu
Robert KeeProfessor, Mechanical Engineering, Colorado School of MinesAdresse e-mail validée de mines.edu
Andreas HellanderAssociate Professor in Scientific Computing, Division of Scientific Computing, Department ofAdresse e-mail validée de it.uu.se
Bernie J. Daigle, Jr.Associate Professor of Biological Sciences and Computer Science at The University of MemphisAdresse e-mail validée de memphis.edu
Kenneth S. Kosik UC Santa BarbaraAdresse e-mail validée de lifesci.ucsb.edu
Muruhan RathinamUMBCAdresse e-mail validée de umbc.edu
Igor MezicUniversity of California, Santa BarbaraAdresse e-mail validée de ucsb.edu
Mustafa KhammashDepartment of Biosystems Science and Engineering, ETH ZurichAdresse e-mail validée de bsse.ethz.ch
Min Kyoung RohWells FargoAdresse e-mail validée de wellsfargo.com
Erik HerzogProfessor of Biology, Washington UniversityAdresse e-mail validée de wustl.edu
Stefan HellanderUppsala UniversityAdresse e-mail validée de it.uu.se
Kirsten MeekerAdresse e-mail validée de cs.ucsb.edu
Mitchell SmookeAdresse e-mail validée de yale.edu
Per Lötstedtprofessor in numerical analysis, Uppsala UniversityAdresse e-mail validée de it.uu.se
Michael CaracotsiosClinical Associate Professor of Chemical Engineering, University of Illinois at ChicagoAdresse e-mail validée de uic.edu

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Linda Petzold

Professor, University of California Santa Barbara

Adresse e-mail validée de cs.ucsb.edu

Computational science and engineering Quantitative biology


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Numerical solution of initial-value problems in differential-algebraic equations KE Brenan, SL Campbell, LR Petzold Society for Industrial and Applied Mathematics, 1995	5681	1995
Computer methods for ordinary differential equations and differential-algebraic equations UM Ascher, LR Petzold Society for Industrial and Applied Mathematics, 1998	3610	1998
Description of DASSL: a differential/algebraic system solver LR Petzold Sandia National Labs., Livermore, CA (USA), 1982	2087	1982
Automatic selection of methods for solving stiff and nonstiff systems of ordinary differential equations L Petzold SIAM journal on scientific and statistical computing 4 (1), 136-148, 1983	1300	1983
Efficient step size selection for the tau-leaping simulation method Y Cao, DT Gillespie, LR Petzold The Journal of chemical physics 124 (4), 2006	834	2006
Differential/Algebraic Equations are not ODE’s L Petzold SIAM Journal on Scientific and Statistical Computing 3 (3), 367-384, 1982	821	1982
ODE methods for the solution of differential/algebraic systems CW Gear, LR Petzold SIAM Journal on Numerical analysis 21 (4), 716-728, 1984	737	1984
The slow-scale stochastic simulation algorithm Y Cao, DT Gillespie, LR Petzold The Journal of chemical physics 122 (1), 2005	645	2005
Using Krylov methods in the solution of large-scale differential-algebraic systems PN Brown, AC Hindmarsh, LR Petzold SIAM Journal on Scientific Computing 15 (6), 1467-1488, 1994	629	1994
A new look at proper orthogonal decomposition M Rathinam, LR Petzold SIAM Journal on Numerical Analysis 41 (5), 1893-1925, 2003	602	2003
Efficient formulation of the stochastic simulation algorithm for chemically reacting systems Y Cao, H Li, L Petzold The journal of chemical physics 121 (9), 4059-4067, 2004	582	2004
Stiffness in stochastic chemically reacting systems: The implicit tau-leaping method M Rathinam, LR Petzold, Y Cao, DT Gillespie The Journal of Chemical Physics 119 (24), 12784-12794, 2003	573	2003
Adjoint sensitivity analysis for differential-algebraic equations: The adjoint DAE system and its numerical solution Y Cao, S Li, L Petzold, R Serban SIAM journal on scientific computing 24 (3), 1076-1089, 2003	569	2003
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences M Alber, A Buganza Tepole, WR Cannon, S De, S Dura-Bernal, ... NPJ digital medicine 2 (1), 115, 2019	552	2019
Improved leap-size selection for accelerated stochastic simulation DT Gillespie, LR Petzold The journal of chemical physics 119 (16), 8229-8234, 2003	547	2003
CHEMKIN collection RJ Kee Release 3, 1999	476	1999
CHEMKIN collection, release 3.6, reaction design RJ Kee, FM Rupley, JA Miller, ME Coltrin, JF Grcar, E Meeks, HK Moffat, ... Inc., San Diego, CA 20 (0), 0, 2000	450	2000
CHEMKIN Release 4.1 RJ Kee, FM Rupley, JA Miller, ME Coltrin, JF Grcar, E Meeks, HK Moffat, ... Reaction Design, San Diego, CA 115, 2006	419	2006
Perspective: Stochastic algorithms for chemical kinetics DT Gillespie, A Hellander, LR Petzold The Journal of chemical physics 138 (17), 2013	394	2013
Numerical methods and software for sensitivity analysis of differential-algebraic systems T Maly, LR Petzold Applied Numerical Mathematics 20 (1-2), 57-79, 1996	369	1996

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