Faculty

Institution

Unit

Venue

Tim Kelley

Professor Emeritus Drexel Professor of Mathematics

North Carolina State University

Affiliations

College of Sciences

Mathematics

Tim Kelley is currently serving as a College Of Sciences Professor Emeritus Drexel Professor of Mathematics at North Carolina State University.

Honors

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Experiences

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Education

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Tim Kelley

North Carolina State University

Professor Emeritus Drexel Professor of Mathematics

You can click a keyword to filter the displayed items

applied mathematics numerical analysis mathematical optimization computer science engineering scientific computing numerical simulations numerical method for partial differential equation water resources environmental engineering machine learning mathematical analysis water science hydrology computational optimization numerical mathematics computational science mathematical physics engineering optimization computational chemistry mathematical programming monte carlo methods nuclear science nuclear engineering implicit filtering approximation methods monte carlo wigner-poisson equations power electronics thermal engineering quantum chemistry nonlinear analysis optimization problems constrained optimization anderson acceleration singular points mesh independence evolutionary computation control optimization microwave technology matrix analysis mathematical chemistry mathematical modelling applied mathematical modelling iterative methods pseudo-transient continuation direct algorithm porous media groundwater flow optimal control problems hydraulic engineering hydrological modeling parameter identification thermal transport analytic number theory computational biophysics foundation of mathematics optical engineering derivative-free optimization convergence analysis implicit filtering algorithm optimal design pseudotransient continuation superlinear convergence integral equations subsurface hydrology water technology filtering technique portfolio optimization highway pavements automotive engineering hydraulics power semiconductor devices semiconductor devices semiconductor technology system optimization numerical treatment multi-physics modelling multilevel methods nonlinear equations

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence. arXiv (Cornell University) (2025)

Pasmann, SamuelVariansyah, IlhamKelley, C. T.McClarren, Ryan G.

computational sciencenumerical simulationsmonte carlo methodsrandomized-halton sequencemonte carlo samplingscientific computingcomputational chemistrymonte carloapplied mathematics

Mitigating Spatial Error in the Iterative Quasi–Monte Carlo (Iqmc) Method for Neutron Transport Simulations With Linear Discontinuous Source Tilting and Effective Scattering and Fission Rate Tallies. Nuclear Science and Engineering (2024)

Samuel PasmannIlham VariansyahC. T. KelleyRyan G. McClarren

nuclear engineeringeffective scatteringspatial errorneutron transport simulationsnuclear physicsnuclear scienceiterative quasi-monte carloapplied physicsfission rate tallies

Multiprecisionarrays.Jl: A Julia Package for Iterative Refinement. The Journal of Open Source Software (2024)

C. T. Kelley

open-source softwarejulia packageiterative refinement

Adaptive Basis Sets for Practical Quantum Computing. International Journal of Quantum Chemistry (2023)

Hyuk‐Yong KwonGregory M. CurtinZachary MorrowC. T. KelleyElena Jakubikova

computer sciencequantum computingadaptive basis sets

A Quasi–Monte Carlo Method With Krylov Linear Solvers for Multigroup Neutron Transport Simulations. Nuclear Science and Engineering (2023)

Sam PasmannIlham VariansyahC. T. KelleyRyan McClarren

nuclear engineeringkrylov linear solversnuclear physicsnuclear scienceapplied physicsquasi-monte carlo method

IQMC: Iterative Quasi-Monte Carlo for K-Eigenvalue Neutron Transport Simulations. arXiv (Cornell University) (2023)

Pasmann, SamuelVariansyah, IlhamKelley, C.T.McClarren, Ryan G.

particle physicsnuclear physicsnumerical analysisiterative quasi-monte carloapplied mathematics

Newton's Method in Three Precisions. arXiv (Cornell University) (2023)

Kelley, C. T.

mathematical optimizationparticle physicsnumerical method for partial differential equationnumerical analysismathematicsnumerical mathematicspartial differential equationsnumerical linear algebraapproximation methodsapproximation theoryapplied mathematics

Reducing Spatial Discretization Error With Linear Discontinuous Source Tilting in Iterative Quasi-Monte Carlo for Neutron Transport. arXiv (Cornell University) (2023)

Pasmann, SamuelVariansyah, IlhamKelley, C. T.McClarren, Ryan G.

neutron transportnuclear physicsiterative quasi-monte carlospatial discretization errorapplied mathematics

Using Multiprecisonarrays.Jl: Iterative Refinement in Julia. arXiv (Cornell University) (2023)

Kelley, C. T.

computer scienceiterative refinementmodel refinementapplied mathematicsmachine learning

Newton's Method in Mixed Precision. SIAM Review (2022)

C. T. Kelley

mathematical optimizationnumerical method for partial differential equationmixed precisionnumerical analysisprecision measurementnumerical mathematicsapproximation methodsapproximation theoryapplied mathematics

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Tim Kelley

Professor Emeritus Drexel Professor of Mathematics

North Carolina State University

Affiliations

College of Sciences

Mathematics

Tim Kelley is currently serving as a College Of Sciences Professor Emeritus Drexel Professor of Mathematics at North Carolina State University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Tim Kelley

North Carolina State University

Professor Emeritus Drexel Professor of Mathematics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

A Batch Power Iteration Approach for the Iterative Quasi-Monte Carlo Method Using a Randomized-Halton Sequence. arXiv (Cornell University) (2025)

Pasmann, SamuelVariansyah, IlhamKelley, C. T.McClarren, Ryan G.

computational sciencenumerical simulationsmonte carlo methodsrandomized-halton sequencemonte carlo samplingscientific computingcomputational chemistrymonte carloapplied mathematics

Samuel PasmannIlham VariansyahC. T. KelleyRyan G. McClarren

nuclear engineeringeffective scatteringspatial errorneutron transport simulationsnuclear physicsnuclear scienceiterative quasi-monte carloapplied physicsfission rate tallies

Multiprecisionarrays.Jl: A Julia Package for Iterative Refinement. The Journal of Open Source Software (2024)

C. T. Kelley

open-source softwarejulia packageiterative refinement

Adaptive Basis Sets for Practical Quantum Computing. International Journal of Quantum Chemistry (2023)

Hyuk‐Yong KwonGregory M. CurtinZachary MorrowC. T. KelleyElena Jakubikova

computer sciencequantum computingadaptive basis sets

A Quasi–Monte Carlo Method With Krylov Linear Solvers for Multigroup Neutron Transport Simulations. Nuclear Science and Engineering (2023)

Sam PasmannIlham VariansyahC. T. KelleyRyan McClarren

nuclear engineeringkrylov linear solversnuclear physicsnuclear scienceapplied physicsquasi-monte carlo method

IQMC: Iterative Quasi-Monte Carlo for K-Eigenvalue Neutron Transport Simulations. arXiv (Cornell University) (2023)

Pasmann, SamuelVariansyah, IlhamKelley, C.T.McClarren, Ryan G.

particle physicsnuclear physicsnumerical analysisiterative quasi-monte carloapplied mathematics

Newton's Method in Three Precisions. arXiv (Cornell University) (2023)

Kelley, C. T.

Reducing Spatial Discretization Error With Linear Discontinuous Source Tilting in Iterative Quasi-Monte Carlo for Neutron Transport. arXiv (Cornell University) (2023)

Pasmann, SamuelVariansyah, IlhamKelley, C. T.McClarren, Ryan G.

neutron transportnuclear physicsiterative quasi-monte carlospatial discretization errorapplied mathematics

Using Multiprecisonarrays.Jl: Iterative Refinement in Julia. arXiv (Cornell University) (2023)

Kelley, C. T.

computer scienceiterative refinementmodel refinementapplied mathematicsmachine learning

Newton's Method in Mixed Precision. SIAM Review (2022)

C. T. Kelley

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5
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applied mathematical modelling

pde-constrained optimization

Ralph Smith

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applied mathematical modelling

scientific computing

Guang Lin

Institution

Purdue University

big data

big data analysis

Mohsen Razzaghi

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Mississippi State University

applied mathematics

numerical analysis

efendiev, yalchin

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Texas A&M University

applied mathematics

engineering

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University of South Carolina

computational harmonic analysis

numerical computation

Xiaofeng Yang

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numerical computation

scientific computing

Weimin Han

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University of Iowa

isogeometric analysis

discontinuous galerkin methods

Ralph E. Showalter

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diffusion process

pore structure

Jinchao Xu

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scientific computing

partial differential equation