Search Results

• Element Learning: A Systematic Approach of Accelerating Finite Element-Type Methods via Machine Learning, with Applications to Radiative Transfer

  Shukai Du, Samuel N. Stechmann

  2026-02-15

  2740 328 Pages:1-34

• Stochastic Variance Reduced Gradient for Tensor Recovery

  Li Li, Chen Xu, Jian Lu, Ningning Han, Lixin Shen

  2025-12-05

  251 179

• Tensor Neural Network and Its Numerical Integration

  Yifan Wang, Hehu Xie, Pengzhan Jin

  2024-11-13

  14939 1341 Pages:1714-1742

• An Accelerated Stochastic Trust Region Method for Stochastic Optimization

  Rulei Qi, Dan Xue, Jing Li, Yujia Zhai

  2025-09-28

  4964 460 Pages:1169-1193

• An Accelerated Preconditioned Primal-Dual Gradient Algorithm for Nonconvex Composite Optimization Problems with Applications

  Xian-Jun Long, Jia-Lin Nie, Gao-Xi Li, Zai-Yun Peng

  2026-03-19

  125 153

• A Symmetric Primal-Dual Algorithmic Framework for Saddle Point Problems

  Hongjin He, Kai Wang, Jintao Yu

  2025-11-19

  232 168

• Deep ReLU Networks Overcome the Curse of Dimensionality for Generalized Bandlimited Functions

  Hadrien Montanelli, Haizhao Yang, Qiang Du

  2021-11-19

  55260 4405 Pages:801-815

• Semi-Proximal Point Method for Nonsmooth Convex-Concave Minimax Optimization

  Yuhong Dai, Jiani Wang, Liwei Zhang

  2024-04-08

  19592 1955 Pages:617-637

• Descent Direction Stochastic Approximation Algorithm with Adaptive Step Sizes

  Zorana Lužanin, Irena Stojkovska, Milena Kresoja

  2018-08-23

  41454 5435 Pages:76-94