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Computational Complexity Analysis for Monte Carlo Approximations of Classically Scaled Population Processes

  • Published:2018-01 Issue:3 Volume:16 Page:1206-1226
  • ISSN:1540-3459
  • Container-title:Multiscale Modeling & Simulation
  • language:en
  • Short-container-title:Multiscale Model. Simul.

Author:

Anderson David F.ORCID,Higham Desmond J.,Sun Yu

Funder

Army Research Office

National Science Foundation

Engineering and Physical Sciences Research Council

Wolfson Foundation

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Computer Science Applications,General Physics and Astronomy,Ecological Modeling,Modeling and Simulation,General Chemistry

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1. Expected Residual Minimization Formulation for Stochastic Absolute Value Equations;Journal of Optimization Theory and Applications;2024-09-12

2. Using Lyapunov Exponents and Entropy to Estimate Sensitivity to Process Variability;2023 IEEE Computer Society Annual Symposium on VLSI (ISVLSI);2023-06-20

3. Modeling Tennis Matches Using Monte Carlo Simulations Incorporating Dynamic Parameters;2023 46th MIPRO ICT and Electronics Convention (MIPRO);2023-05-22

4. Using Lyapunov Exponents to Estimate Sensitivity to Process Variability;2023 IEEE 14th Latin America Symposium on Circuits and Systems (LASCAS);2023-02-27

5. Conditional Monte Carlo for Reaction Networks;SIAM Journal on Scientific Computing;2022-04
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