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- Siddhartha Mishra, T. Konstantin Rusch. Enhancing Accuracy of Deep Learning Algorithms by Training with Low-Discrepancy Sequences. SIAM J. Numerical Analysis, 59(3):1811-1834, 2021.
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- Nan Jiang 0003, Ying Li, Huanhuan Yang. An Artificial Compressibility Crank-Nicolson Leap-Frog Method for the Stokes-Darcy Model and Application in Ensemble Simulations. SIAM J. Numerical Analysis, 59(1):401-428, 2021.
- Brian Fitzpatrick, Enzo De Sena, Toon van Waterschoot. On the Convergence of the Multipole Expansion Method. SIAM J. Numerical Analysis, 59(5):2473-2499, 2021.
- Shi Jin, Lei Li 0006, Jian-Guo Liu 0006. Convergence of the Random Batch Method for Interacting Particles with Disparate Species and Weights. SIAM J. Numerical Analysis, 59(2):746-768, 2021.
- Juan Casado-Díaz, Carlos Conca, Donato Vásquez-Varas. p-Laplacian Energy of a Two-Phase Material. SIAM J. Numerical Analysis, 59(6):3077-3097, 2021.
- Jesús María Sanz Serna, Konstantinos C. Zygalakis. The Connections Between Lyapunov Functions for Some Optimization Algorithms and Differential Equations. SIAM J. Numerical Analysis, 59(3):1542-1565, 2021.
- Sofia Eriksson, Siyang Wang. Summation-by-Parts Approximations of the Second Derivative: Pseudoinverse and Revisitation of a High Order Accurate Operator. SIAM J. Numerical Analysis, 59(5):2669-2697, 2021.
- Fukeng Huang, Jie Shen 0001. Stability and Error Analysis of a Class of High-Order IMEX Schemes for Navier-Stokes Equations with Periodic Boundary Conditions. SIAM J. Numerical Analysis, 59(6):2926-2954, 2021.