| Optimization Methods for Large-Scale Machine Learning |
198 |
| Survey of Multifidelity Methods in Uncertainty Propagation, Inference, and Optimization |
75 |
| A New Class of Efficient and Robust Energy Stable Schemes for Gradient Flows |
37 |
| Configuring Random Graph Models with Fixed Degree Sequences |
23 |
| A Class of Iterative Solvers for the Helmholtz Equation: Factorizations, Sweeping Preconditioners, Source Transfer, Single Layer Potentials, Polarized Traces, and Optimized Schwarz Methods |
15 |
| Deep Learning: An Introduction for Applied Mathematicians |
14 |
| A Gillespie Algorithm for Non-Markovian Stochastic Processes |
11 |
| Shanks Sequence Transformations and Anderson Acceleration |
9 |
| The Singular Value Decomposition: Anatomy of Optimizing an Algorithm for Extreme Scale |
9 |
| Universal Behavior of Modulationally Unstable Media |
9 |
| A Primer on Noise-Induced Transitions in Applied Dynamical Systems |
9 |
| Frames and Numerical Approximation |
8 |
| Bayesian Probabilistic Numerical Methods |
8 |
| Pattern Formation in a Reaction-Diffusion System with Space-Dependent Feed Rate |
7 |
| Strategies for Reduced-Order Models for Predicting the Statistical Responses and Uncertainty Quantification in Complex Turbulent Dynamical Systems |
7 |
| Augmented Phase Reduction of (Not So) Weakly Perturbed Coupled Oscillators |
7 |
| Dynamics over Signed Networks |
6 |
| Trajectory Stratification of Stochastic Dynamics |
6 |
| Dynamically Orthogonal Numerical Schemes for Efficient Stochastic Advection and Lagrangian Transport |
5 |
| Research and Education in Computational Science and Engineering |
5 |
| Making the Rules of Sports Fairer |
5 |
| Looking Back on Inverse Scattering Theory |
5 |
| Bounds on the Singular Values of Matrices with Displacement Structure |
5 |
| Inverse, Shifted Inverse, and Rayleigh Quotient Iteration as Newton's Method |
4 |
| Plasmonic Interaction between Nanospheres |
4 |
| Bayes Meets Krylov: Statistically Inspired Preconditioners for CGLS |
4 |
| Multilevel Markov Chain Monte Carlo |
4 |
| Smooth Random Functions, Random ODEs, and Gaussian Processes |
3 |
| How to Avoid the Curse of Dimensionality: Scalability of Particle Filters with and without Importance Weights |
3 |
| Multistate Dynamical Processes on Networks: Analysis through Degree-Based Approximation Frameworks |
3 |
| PDAEs in Refined Electrical Network Modeling |
3 |
| The Ghosts of Departed Quantities in Switches and Transitions |
2 |
| Formation of Finite-Time Singularities in the 3D Axisymmetric Euler Equations: A Numerics Guided Study |
2 |
| Algorithmic Trading, Stochastic Control, and Mutually Exciting Processes |
2 |
| A New Mixed Potential Representation for Unsteady, Incompressible Flow |
1 |
| Unifying Matrix Stability Concepts with a View to Applications |
1 |
| Second-Order Necessary Conditions for Stochastic Optimal Control Problems |
1 |
| Dimensional and Scaling Analysis |
1 |
| Center Manifolds of Coupled Cell Networks |
1 |
| SPECTRWM: Spectral Random Walk Method for the Numerical Solution of Stochastic Partial Differential Equations |
1 |
| Coin-Flipping, Ball-Dropping, and Grass-Hopping for Generating Random Graphs from Matrices of Edge Probabilities |
1 |
| Obligate Mutualism in a Resource-Based Framework |
1 |
| Network Modularity in the Presence of Covariates |
1 |
| Multivariate Polynomial Interpolation in Newton Forms |
1 |
| Case for First Courses on Finite Markov Chain Modeling to Include Sojourn Time Cycle Chart |
0 |
| Economies-of-Scale in Many-Server Queueing Systems: Tutorial and Partial Review of the QED Halfin-Whitt Heavy-Traffic Regime |
0 |
| On the Metric s-t Path Traveling Salesman Problem |
0 |
| Semidual Regularized Optimal Transport |
0 |
| Luck and the Law: Quantifying Chance in Fantasy Sports and Other Contests |
0 |
| Characterizing Bad Semidefinite Programs: Normal Forms and Short Proofs |
0 |
