Save Search
Save your searches to access them later
Saved Searches
Year Year arrow
arrow-active-down-0
Publisher Publisher arrow
arrow-active-down-1
Journal
1
Journal arrow
arrow-active-down-2
Institution Institution arrow
arrow-active-down-3
Institution Country Institution Country arrow
arrow-active-down-4
Publication Type Publication Type arrow
arrow-active-down-5
Field Of Study Field Of Study arrow
arrow-active-down-6
Topics Topics arrow
arrow-active-down-7
Open Access Open Access arrow
arrow-active-down-8
Language Language arrow
arrow-active-down-9
Reset All
Filter Icon Filter 1
Search Paper
Cancel
Year Year arrow
arrow-active-down-0
Publisher Publisher arrow
arrow-active-down-1
Journal
1
Journal arrow
arrow-active-down-2
Institution Institution arrow
arrow-active-down-3
Institution Country Institution Country arrow
arrow-active-down-4
Publication Type Publication Type arrow
arrow-active-down-5
Field Of Study Field Of Study arrow
arrow-active-down-6
Topics Topics arrow
arrow-active-down-7
Open Access Open Access arrow
arrow-active-down-8
Language Language arrow
arrow-active-down-9
Reset All
Filter Icon Filter 1
Export
Sort by: Relevance
  • Research Article
  • Cite Count Icon 5
  • 10.4208/csiam-am.so-2024-0032
A Novel up to Fourth-Order Equilibria-Preserving and Energy-Stable Exponential Runge-Kutta Framework for Gradient Flows
  • Jan 1, 2025
  • CSIAM Transactions on Applied Mathematics
  • Haifeng Wang Haifeng Wang + 3 more

  • Research Article
  • Cite Count Icon 1
  • 10.4208/csiam-am.so-2024-0021
Error Estimates of Finite Element Methods for the Nonlinear Backward Stochastic Stokes Equations
  • Jan 1, 2025
  • CSIAM Transactions on Applied Mathematics
  • Yongwang Sun Yongwang Sun + 2 more

  • Open Access Icon
  • Research Article
  • Cite Count Icon 2
  • 10.4208/csiam-am.so-2024-0023
Review of Mathematical Optimization in Federated Learning
  • Jan 1, 2025
  • CSIAM Transactions on Applied Mathematics
  • Shusen Yang Shusen Yang + 5 more

  • Open Access Icon
  • Research Article
  • Cite Count Icon 1
  • 10.4208//csiam-am.so-2024-0023
Review of Mathematical Optimization in Federated Learning
  • Jan 1, 2025
  • CSIAM Transactions on Applied Mathematics
  • Shusen Yang + 5 more

  • Open Access Icon
  • Research Article
  • Cite Count Icon 1
  • 10.4208/csiam-am.so-2023-0002
Economic ProductRank and Quantum Wave Probability
  • Jan 1, 2025
  • CSIAM Transactions on Applied Mathematics
  • Mu-Fa Chen Mu-Fa Chen

  • Open Access Icon
  • Research Article
  • Cite Count Icon 1
  • 10.4208/csiam-am.so-2024-0008
Computational Imaging of Small-Amplitude Biperiodic Surfaces with Negative Index Material
  • Jan 1, 2025
  • CSIAM Transactions on Applied Mathematics
  • Yuliang Wang Yuliang Wang

  • Research Article
  • 10.4208/csiam-am.so-2024-0005
A Variational Discretization Method for Mean Curvature Flows by the Onsager Principle
  • Jan 1, 2025
  • CSIAM Transactions on Applied Mathematics
  • Yihe Liu Yihe Liu + 1 more

  • Open Access Icon
  • Research Article
  • 10.4208/csiam-am.so-2023-0024
A New $\mathcal{L}1$-TFPM Scheme for the Singularly Perturbed Subdiffusion Equations
  • Jan 1, 2025
  • CSIAM Transactions on Applied Mathematics
  • Wang Kong Wang Kong + 1 more

  • Open Access Icon
  • Research Article
  • 10.4208/csiam-am.so-2024-0013
Revisiting Parallel Splitting Augmented Lagrangian Method: Tight Convergence and Ergodic Convergence Rate
  • Nov 1, 2024
  • CSIAM Transactions on Applied Mathematics
  • Fan Jiang Fan Jiang + 2 more

  • Open Access Icon
  • Research Article
  • 10.4208/csiam-am.so-2022-0013
An Inexact Framework of the Newton-Based Matrix Splitting Iterative Method for the Generalized Absolute Value Equation
  • Oct 1, 2024
  • CSIAM Transactions on Applied Mathematics
  • Dongmei Yu Dongmei Yu + 2 more

An inexact framework of the Newton-based matrix splitting (INMS) iterative method is developed to solve the generalized absolute value equation, whose exact version was proposed by Zhou, Wu and Li [H.-Y. Zhou, S.-L. Wu and C.-X. Li, J. Comput. Appl. Math., 394 (2021), 113578]. Global linear convergence of the INMS iterative method is investigated in detail. Some numerical results are given to show the superiority of the INMS iterative method.