Hierarchical indexing data structure method for verifying the functionality of the STI-to-PCI bridge chips of the IBM eServer z900. - Jose F. Silverio; Y. Ming Ng; David F. Anderson (IBM J. Res. Dev., 2002)

Global Asymptotic Stability for a Class of Nonlinear Chemical Equations. - David F. Anderson (SIAM J. Appl. Math., 2008)

The Dynamics of Weakly Reversible Population Processes near Facets. - David F. Anderson; Anne Shiu (SIAM J. Appl. Math., 2010)

A Proof of the Global Attractor Conjecture in the Single Linkage Class Case. - David F. Anderson (SIAM J. Appl. Math., 2011)

On Bounding Measures of primeness in integral Domains. - David F. Anderson; Scott T. Chapman (Int. J. Algebra Comput., 2012)

Multilevel Monte Carlo for Continuous Time Markov Chains, with Applications in Biochemical Kinetics. - David F. Anderson; Desmond J. Higham (Multiscale Model. Simul., 2012)

Weak Error Analysis of Numerical Methods for Stochastic Models of Population Processes. - David F. Anderson; Masanori Koyama (Multiscale Model. Simul., 2012)

An Efficient Finite Difference Method for Parameter Sensitivities of Continuous Time Markov Chains. - David F. Anderson (SIAM J. Numer. Anal., 2012)

Complexity of Multilevel Monte Carlo Tau-Leaping. - David F. Anderson; Desmond J. Higham; Yu Sun (SIAM J. Numer. Anal., 2014)

Stochastic representations of ion channel kinetics and exact stochastic simulation of neuronal dynamics. - David F. Anderson; Bard Ermentrout; Peter J. Thomas 001 (J. Comput. Neurosci., 2015)

Graded integral domains whose nonzero homogeneous ideals are invertible. - David F. Anderson; Gyu Whan Chang (Int. J. Algebra Comput., 2016)

Multilevel Monte Carlo for Stochastic Differential Equations with Small Noise. - David F. Anderson; Desmond J. Higham; Yu Sun (SIAM J. Numer. Anal., 2016)

Finite Time Distributions of Stochastically Modeled Chemical Systems with Absolute Concentration Robustness. - David F. Anderson; Daniele Cappelletti; Thomas G. Kurtz (SIAM J. Appl. Dyn. Syst., 2017)

Computational Complexity Analysis for Monte Carlo Approximations of Classically Scaled Population Processes. - David F. Anderson; Desmond J. Higham; Yu Sun (Multiscale Model. Simul., 2018)

Some Network Conditions for Positive Recurrence of Stochastically Modeled Reaction Networks. - David F. Anderson; Jinsu Kim (SIAM J. Appl. Math., 2018)

On Constrained Langevin Equations and (Bio)Chemical Reaction Networks. - David F. Anderson; Desmond J. Higham; Saul C. Leite; Ruth J. Williams (Multiscale Model. Simul., 2019)

On reaction network implementations of neural networks. - David F. Anderson; Abhishek Deshpande; Badal Joshi (CoRR, 2020)

Stochastically modeled weakly reversible reaction networks with a single linkage class. - David F. Anderson; Daniele Cappelletti; Jinsu Kim (J. Appl. Probab., 2020)

Variance of Finite Difference Methods for Reaction Networks with Non-Lipschitz Rate Functions. - David F. Anderson; Chaojie Yuan (SIAM J. Numer. Anal., 2020)

Stochastic chemical reaction networks for robustly approximating arbitrary probability distributions. - Daniele Cappelletti; Andrés Ortiz-Muñoz; David F. Anderson; Erik Winfree (Theor. Comput. Sci., 2020)

Prevalence of deficiency-zero reaction networks in an Erdös-Rényi framework. - David F. Anderson; Tung D. Nguyen (J. Appl. Probab., 2022)

Conditional Monte Carlo for Reaction Networks. - David F. Anderson; Kurt W. Ehlert (SIAM J. Sci. Comput., 2022)

Parametric Sensitivity Analysis for Models of Reaction Networks within Interacting Compartments. - David F. Anderson; Aidan S. Howells (CoRR, 2024)

A New Path Method for Exponential Ergodicity of Markov Processes on ({{ mathbb Z^{d}}} ), with Applications to Stochastic Reaction Networks. - David F. Anderson; Daniele Cappelletti; Wai-Tong Louis Fan; Jinsu Kim (SIAM J. Appl. Dyn. Syst., 2025)

Chemical mass-action systems as analog computers: Implementing arithmetic computations at specified speed. - David F. Anderson; Badal Joshi (Theor. Comput. Sci., 2025)