Alexandra B. Smirnova, Ph.D.

Affiliations: 
2000 Kansas State University, Manhattan, KS, United States 
Area:
Mathematics
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"Alexandra Smirnova"

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Alexander G. Ramm grad student 2000 Kansas State University
 (Numerical methods for solving ill -posed problems and their applications.)
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Publications

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Bakushinsky A, Smirnova A. (2020) A study of frozen iteratively regularized Gauss–Newton algorithm for nonlinear ill-posed problems under generalized normal solvability condition Journal of Inverse and Ill-Posed Problems. 28: 275-286
Akossi A, Chowell-Puente G, Smirnova A. (2019) Numerical study of discretization algorithms for stable estimation of disease parameters and epidemic forecasting. Mathematical Biosciences and Engineering : Mbe. 16: 3674-3693
Smirnova A, Sirb B, Chowell G. (2019) On Stable Parameter Estimation and Forecasting in Epidemiology by the Levenberg-Marquardt Algorithm with Broyden's Rank-one Updates for the Jacobian Operator. Bulletin of Mathematical Biology
Smirnova A, Chowell G. (2017) A primer on stable parameter estimation and forecasting in epidemiology by a problem-oriented regularized least squares algorithm. Infectious Disease Modelling. 2: 268-275
Smirnova A, deCamp L, Chowell G. (2017) Forecasting Epidemics Through Nonparametric Estimation of Time-Dependent Transmission Rates Using the SEIR Model. Bulletin of Mathematical Biology
Smirnova A, Chowell-Puente G, deCamp L, et al. (2017) Improving epidemic size prediction through stable reconstruction of disease parameters by reduced iteratively regularized Gauss–Newton algorithm Journal of Inverse and Ill-Posed Problems. 25: 653-667
Smirnova A, Martcheva M, Liu H. (2015) On generalized cross validation for stable parameter selection in disease models Journal of Inverse and Ill-Posed Problems. 23: 451-464
Bakushinsky A, Smirnova A, Liu H. (2015) A nonstandard approximation of pseudoinverse and a new stopping criterion for iterative regularization Journal of Inverse and Ill-Posed Problems. 23: 195-210
Smirnova A, Bakushinsky A, DeCamp L. (2015) On application of asymptotic generalized discrepancy principle to the analysis of epidemiology models Applicable Analysis. 94: 672-693
Smirnova A, Tuncer N. (2014) Estimating time-dependent transmission rate of avian influenza via stable numerical algorithm Journal of Inverse and Ill-Posed Problems. 22: 31-62
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