:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Daitch, Samuel I., Spielman, Daniel A.
Format:	Preprint
Published:	2007
Subjects:	Numerical Analysis
Online Access:	https://arxiv.org/abs/cs/0703119
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Support Graph Preconditioners for Off-Lattice Cell-Based Models
by: Steinman, Justin, et al.
Published: (2024)

Overlapping Schwarz Preconditioners for Pose-Graph SLAM in Robotics
by: Köhler, Stephan, et al.
Published: (2026)

Localized Estimation of Condition Numbers for MILU Preconditioners on a Graph
by: Hwang, Geonho, et al.
Published: (2024)

Adaptive Nonoverlapping Preconditioners for the Helmholtz Equation
by: Yu, Yi, et al.
Published: (2025)

Graph Neural Preconditioners for Iterative Solutions of Sparse Linear Systems
by: Chen, Jie
Published: (2024)

On the Spectral Clustering of a Class of Multigrid Preconditioners
by: Lorca, Jose Pablo Lucero, et al.
Published: (2025)

Monolithic Algebraic Multigrid Preconditioners for the Stokes Equations
by: Voronin, Alexey, et al.
Published: (2023)

Solving Elliptic Finite Element Systems in Near-Linear Time with Support Preconditioners
by: Boman, Erik, et al.
Published: (2004)

A Geometric Multigrid Preconditioner for Shifted Boundary Method
by: Wichrowski, Michał, et al.
Published: (2026)

An Adaptive Factorized Nyström Preconditioner for Regularized Kernel Matrices
by: Zhao, Shifan, et al.
Published: (2023)

A Robust Two-Level Schwarz Preconditioner For Sparse Matrices
by: Daas, Hussam Al, et al.
Published: (2024)

An Improved Multi-Stage Preconditioner on GPUs for Compositional Reservoir Simulation
by: Zhao, Li, et al.
Published: (2022)

Overlapping Schwarz Preconditioners for Randomized Neural Networks with Domain Decomposition
by: Shang, Yong, et al.
Published: (2024)

Monolithic Multigrid Preconditioners for High-Order Discretizations of Stokes Equations
by: Voronin, Alexey, et al.
Published: (2024)

An Augmented Lagrangian Preconditioner for Navier--Stokes Equations with Runge--Kutta in Time
by: Leveque, Santolo, et al.
Published: (2025)

A Geometric Multigrid Preconditioner for Discontinuous Galerkin Shifted Boundary Method
by: Wichrowski, Michal
Published: (2025)

From Frequency Bias to Spectral Balance: Operator-Aware Preconditioners for PINNs
by: He, Roy Y., et al.
Published: (2026)

An Empirical Study of Conjugate Gradient Preconditioners for Solving Symmetric Positive Definite Systems of Linear Equations
by: Tunnell, Marc A., et al.
Published: (2025)

Block Alpha-Circulant Preconditioners for All-at-Once Diffusion-Based Covariance Operators
by: Tabeart, Jemima M., et al.
Published: (2025)

Two-level hybrid Schwarz Preconditioners for The Helmholtz Equation with high wave number
by: Lu, Peipei, et al.
Published: (2024)

Diagonalization-Based Parallel-in-Time Preconditioners for Instationary Fluid Flow Control Problems
by: Heinzelreiter, Bernhard, et al.
Published: (2024)

Coupling deal.II and FROSch: A Sustainable and Accessible (O)RAS Preconditioner
by: Heinlein, Alexander, et al.
Published: (2024)

Parameter-robust Preconditioners for the Stokes-Darcy Coupled Problem without Fractional Operators
by: Boon, Wietse M., et al.
Published: (2025)

Coarse Spaces Based on Higher-Order Interpolation for Schwarz Preconditioners for Helmholtz Problems
by: Sieburgh, Erik, et al.
Published: (2024)

Smoothed Analysis of the Condition Numbers and Growth Factors of Matrices
by: Sankar, Arvind, et al.
Published: (2003)

High-order Multiscale Preconditioner for Elasticity of Arbitrary Structures
by: Khan, Sabit Mahmood, et al.
Published: (2025)

A Multigrid Preconditioner for Tensor Product Spline Smoothing
by: Siebenborn, Martin, et al.
Published: (2019)

A Generalized Non-local Quasicontinuum Approach for Efficient Modeling of Architected Truss-based Lattice Structures
by: Li, Zi, et al.
Published: (2025)

Solving Sparse, Symmetric, Diagonally-Dominant Linear Systems in Time $O (m^{1.31})$
by: Spielman, Daniel A., et al.
Published: (2003)

Nearly-Linear Time Algorithms for Preconditioning and Solving Symmetric, Diagonally Dominant Linear Systems
by: Spielman, Daniel A., et al.
Published: (2006)

ShyLU node: On-node Scalable Solvers and Preconditioners Recent Progresses and Current Performance
by: Yamazaki, Ichitaro, et al.
Published: (2025)

Learning from Linear Algebra: A Graph Neural Network Approach to Preconditioner Design for Conjugate Gradient Solvers
by: Trifonov, Vladislav, et al.
Published: (2024)

Neural Acceleration of Incomplete Cholesky Preconditioners
by: Booth, Joshua Dennis, et al.
Published: (2024)

Using Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction
by: Hong, Tao, et al.
Published: (2024)

PEARL: Preconditioner Enhancement through Actor-critic Reinforcement Learning
by: Millard, David, et al.
Published: (2025)

Multi-Level GNN Preconditioner for Solving Large Scale Problems
by: Nastorg, Matthieu, et al.
Published: (2024)

Preconditioners based on Voronoi quantizers of random variable coefficients for stochastic elliptic partial differential equations
by: Venkovic, Nicolas, et al.
Published: (2024)

Synthetic Acceleration Preconditioners for Parametric Radiative Transfer Equations based on Trajectory-Aware Reduced Order Models
by: Tang, Ning, et al.
Published: (2025)

Constrained Pressure-Temperature Residual (CPTR) Preconditioner Performance for Large-Scale Thermal CO2 Injection Simulation
by: Cremon, Matthias A., et al.
Published: (2023)

Error Feedback Can Accurately Compress Preconditioners
by: Modoranu, Ionut-Vlad, et al.
Published: (2023)