Argonne National Laboratory

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2012

M. Anitescu, Chen, J., and Wang, L., “A Matrix-Free Approach for Solving the Parametric Gaussian Process Maximum Likelihood Problem”, SIAM Journal on Scientific Computing, vol. 34, no. 1, pp. A240-A262, 2012.
M. Anitescu, Roderick, O., and Utke, J., “Derivative-Based Uncertainty Quantification: Automatic Differentiation Tools for SAS”, 2012.
A. Mametjanov, Norris, B., Zeng, X., Drewniak, B. A., Utke, J., Anitescu, M., and Hovland, P. D., “Applying Automatic Differentiation to the Community Land Model”, in 6th International Conference on Automatic Differentiation (AD2012), Fort Collins, CO, 2012.
M. L. Stein, Chen, J., and Anitescu, M., “Difference Filter Preconditioning for Large Covariance Matrices”, SIAM Journal on Matrix Analysis and Applications, vol. 33, no. 1, pp. 52-72, 2012.
J. Chen, Wang, L., and Anitescu, M., “A Fast Summation Tree Code for Matern Kernel”, SIAM Journal on Scientific Computing, vol. 36, no. 1, pp. A289-A309, 2012.
V. M. Zavala and Anitescu, M., “Scalable Nonlinear Programming via Exact Differentiable Penalty Functions and Trust-Region Newton Methods”, 2012.
O. Roderick and Anitescu, M., “Intrusive Uncertainty Quantification for NeK5000: Development of Intrusive Uncertainty Quantification for High-Dimensional, High-Fidelity Codes”, 2012.
O. Roderick, Anitescu, M., and Wang, Z., “Reduced Order Approximations in Uncertainty Analysis of Nuclear Engineering Applications”, 2012.

2011

V. M. Zavala and Anitescu, M., “New Insights into the Dynamic Stability of Wholesale Electricity Markets”, presented at the 02/2011, 2011.
M. Anitescu and Petra, C. G., “Higher-Order Confidence Intervals for Stochastic Programming Using Bootstrapping”, 2011.
J. Chen, Anitescu, M., and Saad, Y., “Computing f(A)b via Least Squares Polynomial Approximations”, SIAM Journal on Scientific Computing, vol. 33, no. 1, pp. 195-222, 2011.
V. M. Zavala and Anitescu, M., “On the Dynamic Stability of Electricity Markets”, 2011.
H. F. Stripling, Anitescu, M., and Adams, M. L., “A Generalized Adjoint Framework for Sensitivity and Global Error Estimation in Time-Dependent Nuclear Reactor Simulations”, Annals of Nuclear Energy, vol. 52, pp. 47-58, 2011.
M. Lubin, Petra, C. G., Anitescu, M., and Zavala, V. M., “Scalable Stochastic Optimization of Complex Energy Systems”, in SC'11 Proc. of 2011 International Conference for High Performance Computing, Networking, Storage and Analysis, Seattle, Washington, 2011.
D. Negrut, Tasora, A., Anitescu, M., Mazhar, H., Heyn, T., and Pazouki, A., “Solving Large Multibody Dynamics Problems on the GPU”, in GPU Computing Gems JAde Edition, Morgan Kaufmann, 2011.
M. Lubin, Petra, C. G., and Anitescu, M., “The Parallel Solution of Dense Saddle-Point Linear Systems Arising in Stochastic Programming”, Optimization Methods and Software, 2011.
C. G. Petra and Anitescu, M., “A Preconditioning Technique for Schur Complement Systems Arising in Stochastic Optimization”, Computational Optimization and Applications, pp. 1-30, 2011.
M. Anitescu, Zeng, X., and Constantinescu, E. M., “A Low-Memory Approach for Best-State Estimation of Hidden Markov Models with Model Error”, SIAM Journal on Numerical Analysis, 2011.
L. Wang, Lee, J., Anitescu, M., A. Azab, E., McInnes, L. Curfman, Munson, T. S., and Smith, B. F., “A Differential Variational Inequality Approach for the Simulation of Heterogeneous Materials”, in Proc. SciDAC2011 Conference, Denver, CO, 2011.
O. Roderick, Wang, Z., and Anitescu, M., “Dimensionality Reduction for Uncertainty Quantification of Nuclear Engineering Models”, Trans. Am. Nucl. Soc. , vol. 104, 2011.