Cover Image

Computing k-means in mixed precision

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Carson, Erin, Chen, Xinye, Liu, Xiaobo
Format:	Preprint
Published:	2024
Subjects:	Numerical Analysis 65G50, 62H30, 68T05, 68W10
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hybrid hierarchical matrices with adaptive mixed precision storage
by: Khan, Ritesh, et al.
Published: (2026)

Mixed precision HODLR matrices
by: Carson, Erin, et al.
Published: (2024)

The Detection and Correction of Silent Errors in Pipelined Krylov Subspace Methods
by: Carson, Erin Claire, et al.
Published: (2024)

Error analysis for learning fractional stochastic differential equations with applications in neural approximations
by: Dehshiri, Mahdi, et al.
Published: (2026)

Scalable Multilevel Monte Carlo Methods Exploiting Parallel Redistribution on Coarse Levels
by: Fairbanks, Hillary R., et al.
Published: (2024)

Anderson acceleration with approximate calculations: applications to scientific computing
by: Pasini, Massimiliano Lupo, et al.
Published: (2022)

A Systematic Evaluation Protocol of Graph-Derived Signals for Tabular Machine Learning
by: Heidrich, Mario, et al.
Published: (2026)

High-performance matrix-free unfitted finite element operator evaluation
by: Bergbauer, Maximilian, et al.
Published: (2024)

Matrix-Free Evaluation of High-Order Shifted Boundary Finite Element Operators
by: Wichrowski, Michał
Published: (2025)

Fast randomized least-squares solvers can be just as accurate and stable as classical direct solvers
by: Epperly, Ethan N., et al.
Published: (2024)

Fast and forward stable randomized algorithms for linear least-squares problems
by: Epperly, Ethan N.
Published: (2023)

Randomized sketching of nonlinear eigenvalue problems
by: Güttel, Stefan, et al.
Published: (2022)

A derivative-free localized stochastic method for very high-dimensional semilinear parabolic PDEs
by: Fang, Shuixin, et al.
Published: (2025)

An intrinsic homotopy for intersecting algebraic varieties
by: Sommese, Andrew J., et al.
Published: (2004)

XTrace: Making the most of every sample in stochastic trace estimation
by: Epperly, Ethan N., et al.
Published: (2023)

Two Variations on the XTrace Algorithm
by: Hallman, Eric
Published: (2025)

Randomized Nyström approximation of non-negative self-adjoint operators
by: Persson, David, et al.
Published: (2024)

Bayesian D-Optimal Experimental Designs via Column Subset Selection
by: Eswar, Srinivas, et al.
Published: (2024)

Numerical Instabilities in the Kaczmarz Method and Stabilization by Iterative Refinement
by: Dereziński, Michał, et al.
Published: (2026)

Nonclassical symmetries of polynomial equations and test problems with parameters for computer algebra systems
by: Shingareva, Inna K., et al.
Published: (2026)

Optimal Sensor Placement in Gaussian Processes via Column Subset Selection
by: Chen, Jessie, et al.
Published: (2026)

Any nonincreasing convergence curves are simultaneously possible for GMRES and weighted GMRES, as well as for left and right preconditioned GMRES
by: Matalon, Pierre, et al.
Published: (2025)

Regularized Random Fourier Features and Finite Element Reconstruction for Operator Learning in Sobolev Space
by: Yu, Xinyue, et al.
Published: (2025)

CPAFT: A Consistent Parallel Advancing Front Technique for Unstructured Triangular/Tetrahedral Mesh Generation
by: Ma, Chengdi, et al.
Published: (2024)

GMRES with randomized sketching and deflated restarting
by: Burke, Liam, et al.
Published: (2023)

Beyond singular value gaps in randomized subspace approximation
by: Wang, Christopher, et al.
Published: (2026)

Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation
by: Matti, Fabio, et al.
Published: (2025)

Efficient error estimators for Generalized Nyström
by: Lazzarino, Lorenzo, et al.
Published: (2026)

A resource-efficient model for deep kernel learning
by: D'Amore, Luisa
Published: (2024)

Randomized low-rank Runge-Kutta methods
by: Lam, Hei Yin, et al.
Published: (2024)

Parallel-in-time Multilevel Krylov Methods: A Prototype
by: Erlangga, Yogi A.
Published: (2023)

Polygonal Sequence-driven Triangulation Validator: An Incremental Approach to 2D Triangulation Verification
by: Sawai, Sora, et al.
Published: (2024)

Improved bounds for randomized Schatten norm estimation of numerically low-rank matrices
by: Chu, Ya-Chi, et al.
Published: (2024)

Distributed Hybrid Sketching for $\ell_2$-Embeddings
by: Charalambides, Neophytos, et al.
Published: (2024)

Operator Learning Using Random Features: A Tool for Scientific Computing
by: Nelsen, Nicholas H., et al.
Published: (2024)

Solving the inverse source problem of the fractional Poisson equation by MC-fPINNs
by: Sheng, Rui, et al.
Published: (2024)

On a randomized small-block Lanczos method for large-scale null space computations
by: Kressner, Daniel, et al.
Published: (2024)

Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection
by: Luo, Hengrui, et al.
Published: (2024)

Fast Maxwell Solvers Based on Exact Discrete Eigen-Decompositions I. Two-Dimensional Case
by: Wang, Lixiu, et al.
Published: (2025)

Randomized sketched TT-GMRES for linear systems with tensor structure
by: Bucci, Alberto, et al.
Published: (2024)