Latest Research in Numerical Analysis

Top Research Topics in Numerical Analysis

• Optimization and Control — 22 papers
• Numerical Analysis — 3 papers
• Statistics Theory — 3 papers
• Information Theory — 2 papers
• Sparse and Compressive Sensing Techniques — 1 papers
• Tensor decomposition and applications — 1 papers
• Symbolic Computation — 1 papers
• Probability — 1 papers
• Data Structures and Algorithms — 1 papers
• Risk Management — 1 papers

Highest-Cited Papers

1. Robust, randomized preconditioning for kernel ridge regression (1 citations)
2. Incremental Column Subset Selection via Conditional Determinantal Point Processes
3. Matching Multi-Loop Complexities with a Single Loop: Optimal Optimization Stationarity and Best-Known Game Stationarity in Nonconvex--Concave Minimax Optimization
4. Restart-Free Oracle-Efficient Methods for Strongly Convex Composite Optimization
5. Collect, Commit, Expand: Efficient CPQR-Based Column Selection for Extremely Wide Matrices
6. Level-Set Geometry and the Theoretical Performance of PDHG for Conic Linear Optimization
7. Adaptive Schauder Stochastic Mirror Descent in Banach Spaces
8. Toland duality and particle approximations for signed Wasserstein barycenters
9. Symmetric and Asymmetric Trends in Sparse Tucker Decomposition Based on Plithogenic Neutrosophic Hypersoft Sets: A Bibliometric and Conceptual Review
10. Revisiting Proximal Bundle Methods: Improved Rates under H{ö}lder Smoothness
11. Sharp bounds for stochastic proximal and projection estimators via radial dominance
12. Minimax properties of gamma kernel density estimators under $L^p$ loss and $β$-Hölder smoothness of the target
13. Inexact and Stochastic Gradient Optimization Algorithms with Inertia and Hessian Driven Damping
14. Projection-Free Non-Smooth Convex Programming
15. A family of spectral conjugate gradient algorithms derived by least-squares approximations based on a modified quasi--Newton update with application to a revised robust binary classification model
16. Diversity of EML-type operators
17. Martingale central limit theorems in $p$-Wasserstein distance
18. ADMM and Linearized ADMM for Weakly Convex Minimization
19. Fast Algorithms for Sparse PCA and Robust Sparse Estimation
20. The Unseen Species Problem Revisited