Imagen de Portada

A fast low-rank inversion algorithm of dielectric matrix in GW approximation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhou, Zhengbang, Ma, Huanhuan, Wu, Wentiao, Gao, Weiguo, Yang, Jinlong, Shao, Meiyue, Hu, Wei
Formato:	Preprint
Publicado:	2024
Materias:	Numerical Analysis G.1.3; J.2
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

A mixed precision Jacobi SVD algorithm
por: Gao, Weiguo, et al.
Publicado: (2022)

Mixed precision thin SVD algorithms based on the Gram matrix
por: Carson, Erin, et al.
Publicado: (2026)

Fast randomized algorithms for low-rank matrix approximations with applications in global comparative analysis of a class of data sets
por: Xu, Weiwei, et al.
Publicado: (2024)

The shift-and-invert Arnoldi method for singular matrix pencils
por: Meerbergen, Karl, et al.
Publicado: (2024)

Sensitivity of low-rank matrix recovery
por: Breiding, Paul, et al.
Publicado: (2021)

Efficient algorithm for the oscillatory matrix functions
por: Li, Dongping, et al.
Publicado: (2024)

A posteriori error bounds for the block-Lanczos method for matrix function approximation
por: Xu, Qichen, et al.
Publicado: (2022)

A high-order implicit time integration method for linear and nonlinear dynamics with efficient computation of accelerations
por: O'Shea, Daniel, et al.
Publicado: (2024)

Relationship formula between nonlinear polynomial equations and the corresponding Jacobian matrix
por: Chen, W.
Publicado: (1999)

Does block size matter in randomized block Krylov low-rank approximation?
por: Chen, Tyler, et al.
Publicado: (2025)

Efficient scaling and squaring method for the matrix exponential
por: Blanes, Sergio, et al.
Publicado: (2024)

An EigenValue Stabilization Technique for Immersed Boundary Finite Element Methods in Explicit Dynamics
por: Eisenträger, Sascha, et al.
Publicado: (2023)

Stable iterative refinement algorithms for solving linear systems
por: Wu, Chai Wah, et al.
Publicado: (2023)

Least squares approximations in linear statistical inverse learning problems
por: Helin, Tapio
Publicado: (2022)

Efficient adaptive randomized algorithms for fixed-threshold low-rank matrix approximation
por: Liu, Qiaohua, et al.
Publicado: (2025)

Sensor Placement for Tsunami Early Warning via Large-Scale Bayesian Optimal Experimental Design
por: Venkat, Sreeram, et al.
Publicado: (2026)

Jacobian matrix: a bridge between linear and nonlinear polynomial-only problems
por: Chen, W.
Publicado: (1999)

Optimization of Approximate Maps for Linear Systems Arising in Discretized PDEs
por: Islam, Rishad, et al.
Publicado: (2024)

A Nested Krylov Method Using Half-Precision Arithmetic
por: Suzuki, Kengo, et al.
Publicado: (2025)

Generative modeling with low-rank Wasserstein polynomial chaos expansions
por: Gruhlke, Robert, et al.
Publicado: (2022)

modOpt: A modular development environment and library for optimization algorithms
por: Joshy, Anugrah Jo, et al.
Publicado: (2024)

Adaptive multiplication of rank-structured matrices in linear complexity
por: Börm, Steffen
Publicado: (2023)

Two Iterative Algorithms for Solving Systems of Simultaneous Linear Algebraic Equations with Real Matrices of Coefficients
por: Kondratiev, A. S., et al.
Publicado: (2005)

Model reduction in Smoluchowski-type equations
por: Timokhin, Ivan V., et al.
Publicado: (2020)

A Two-Level Direct Solver for the Hierarchical Poincaré-Steklov Method
por: Kump, Joseph, et al.
Publicado: (2025)

Direct linearization method for nonlinear PDE's and the related kernel RBFs
por: Chen, W.
Publicado: (2001)

New RBF collocation schemes and their applications
por: Chen, W.
Publicado: (2001)

Revisiting recursive methods for Dyson and Keldysh in NEGF: Part I
por: Di Napoli, Edoardo, et al.
Publicado: (2026)

Some problems in asymptotic convex geometry and random matrices motivated by numerical algorithms
por: Vershynin, Roman
Publicado: (2007)

Numerical approaches to compute spectra of non-self adjoint operators in dimensions two and three
por: Aboud, Fatima, et al.
Publicado: (2024)

A mixed precision LOBPCG algorithm
por: Kressner, Daniel, et al.
Publicado: (2023)

Mapping Sparse Triangular Solves to GPUs via Fine-grained Domain Decomposition
por: Gondhalekar, Atharva, et al.
Publicado: (2025)

Tensor Decompositions for Count Data that Leverage Stochastic and Deterministic Optimization
por: Myers, Jeremy M., et al.
Publicado: (2022)

The application of special matrix product to differential quadrature solution of geometrically nonlinear bending of orthotropic rectangular plates
por: Chen, W., et al.
Publicado: (1999)

PySLSQP: A transparent Python package for the SLSQP optimization algorithm modernized with utilities for visualization and post-processing
por: Joshy, Anugrah Jo, et al.
Publicado: (2024)

Efficient quaternion CUR method for low-rank approximation to quaternion matrix
por: Wu, Peng-Ling, et al.
Publicado: (2024)

Estimates for the quantized tensor train ranks for the power functions
por: Matveev, Sergey A., et al.
Publicado: (2024)

A modified BFGS quasi-Newton iterative formula
por: Chen, W.
Publicado: (1999)

Generalized linearization of nonlinear algebraic equations: an innovative approach
por: Chen, W.
Publicado: (1999)

Pseudo-Newton method for nonlinear equations
por: Chen, W.
Publicado: (1999)