Saved in:
| Main Authors: | Bjerregaard, Pablo Alberca, Gonzalez, Candido Martin |
|---|---|
| Format: | Preprint |
| Published: |
2002
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/math/0204350 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
The Lie algebra splitg2 with Mathematica using Zorn's matrices
by: Bjerregaard, Pablo Alberca, et al.
Published: (2002)
by: Bjerregaard, Pablo Alberca, et al.
Published: (2002)
Algorithm to compute the rank and a Cartan subalgebra of a matrix Lie algebra with Mathematica
by: Bjerregaard, Pablo Alberca, et al.
Published: (2002)
by: Bjerregaard, Pablo Alberca, et al.
Published: (2002)
Randomized low-rank Runge-Kutta methods
by: Lam, Hei Yin, et al.
Published: (2024)
by: Lam, Hei Yin, et al.
Published: (2024)
Two Variations on the XTrace Algorithm
by: Hallman, Eric
Published: (2025)
by: Hallman, Eric
Published: (2025)
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption
by: Cai, HanQin, et al.
Published: (2023)
by: Cai, HanQin, et al.
Published: (2023)
Computing k-means in mixed precision
by: Carson, Erin, et al.
Published: (2024)
by: Carson, Erin, et al.
Published: (2024)
Convergence of Markov Chains for Constant Step-size Stochastic Gradient Descent with Separable Functions
by: Shirokoff, David, et al.
Published: (2024)
by: Shirokoff, David, et al.
Published: (2024)
XTrace: Making the most of every sample in stochastic trace estimation
by: Epperly, Ethan N., et al.
Published: (2023)
by: Epperly, Ethan N., et al.
Published: (2023)
Randomized Nyström approximation of non-negative self-adjoint operators
by: Persson, David, et al.
Published: (2024)
by: Persson, David, et al.
Published: (2024)
Stochastic trace estimation for parameter-dependent matrices applied to spectral density approximation
by: Matti, Fabio, et al.
Published: (2025)
by: Matti, Fabio, et al.
Published: (2025)
Balanced Group Convolution: An Improved Group Convolution Based on Approximability Estimates
by: Lee, Youngkyu, et al.
Published: (2023)
by: Lee, Youngkyu, et al.
Published: (2023)
pETNNs: Partial Evolutionary Tensor Neural Networks for Solving Time-dependent Partial Differential Equations
by: Kao, Tunan, et al.
Published: (2024)
by: Kao, Tunan, et al.
Published: (2024)
An intrinsic homotopy for intersecting algebraic varieties
by: Sommese, Andrew J., et al.
Published: (2004)
by: Sommese, Andrew J., et al.
Published: (2004)
A randomized algorithm for simultaneously diagonalizing symmetric matrices by congruence
by: He, Haoze, et al.
Published: (2024)
by: He, Haoze, et al.
Published: (2024)
High-performance matrix-free unfitted finite element operator evaluation
by: Bergbauer, Maximilian, et al.
Published: (2024)
by: Bergbauer, Maximilian, et al.
Published: (2024)
Learning nonnegative matrix factorizations from compressed data
by: Chaudhry, Abraar, et al.
Published: (2024)
by: Chaudhry, Abraar, et al.
Published: (2024)
Construction of local reduced spaces for Friedrichs' systems via randomized training
by: Engwer, Christian, et al.
Published: (2024)
by: Engwer, Christian, et al.
Published: (2024)
Fast Maxwell Solvers Based on Exact Discrete Eigen-Decompositions I. Two-Dimensional Case
by: Wang, Lixiu, et al.
Published: (2025)
by: Wang, Lixiu, et al.
Published: (2025)
Matrix-Free Evaluation of High-Order Shifted Boundary Finite Element Operators
by: Wichrowski, Michał
Published: (2025)
by: Wichrowski, Michał
Published: (2025)
Möbius-Transformed Trapezoidal Rule
by: Suzuki, Yuya, et al.
Published: (2024)
by: Suzuki, Yuya, et al.
Published: (2024)
Ranking Perspective for Tree-based Methods with Applications to Symbolic Feature Selection
by: Luo, Hengrui, et al.
Published: (2024)
by: Luo, Hengrui, et al.
Published: (2024)
Low-rank approximation of parameter-dependent matrices via CUR decomposition
by: Park, Taejun, et al.
Published: (2024)
by: Park, Taejun, et al.
Published: (2024)
Quasi-optimal hierarchically semi-separable matrix approximation
by: Amsel, Noah, et al.
Published: (2025)
by: Amsel, Noah, et al.
Published: (2025)
Compression of Currents and Varifolds
by: Paul, Allen, et al.
Published: (2024)
by: Paul, Allen, et al.
Published: (2024)
Model Parallel Training and Transfer Learning for Convolutional Neural Networks by Domain Decomposition
by: Klawonn, Axel, et al.
Published: (2024)
by: Klawonn, Axel, et al.
Published: (2024)
Domain-decomposed image classification algorithms using linear discriminant analysis and convolutional neural networks
by: Klawonn, Axel, et al.
Published: (2024)
by: Klawonn, Axel, et al.
Published: (2024)
Computing Complex Dimension Faster and Deterministically
by: Rojas, J. Maurice
Published: (2000)
by: Rojas, J. Maurice
Published: (2000)
New perturbation bounds for low rank approximation of matrices: Beyond Eckart-Young-Mirsky
by: Tran, Phuc, et al.
Published: (2025)
by: Tran, Phuc, et al.
Published: (2025)
On Convergence of the Secant Method
by: Tan, Yan, et al.
Published: (2025)
by: Tan, Yan, et al.
Published: (2025)
Randomized coupled decompositions
by: Begovic, Erna, et al.
Published: (2024)
by: Begovic, Erna, et al.
Published: (2024)
Randomized sketched TT-GMRES for linear systems with tensor structure
by: Bucci, Alberto, et al.
Published: (2024)
by: Bucci, Alberto, et al.
Published: (2024)
Row-aware Randomized SVD with applications
by: Palitta, Davide, et al.
Published: (2024)
by: Palitta, Davide, et al.
Published: (2024)
Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation
by: Cortinovis, Alice, et al.
Published: (2024)
by: Cortinovis, Alice, et al.
Published: (2024)
HaTT: Hadamard avoiding TT recompression
by: Sun, Zhonghao, et al.
Published: (2024)
by: Sun, Zhonghao, et al.
Published: (2024)
A finite element contour integral method for computing the resonances of metallic grating structures with subwavelength holes
by: Xi, Yingxia, et al.
Published: (2024)
by: Xi, Yingxia, et al.
Published: (2024)
A derivative-free localized stochastic method for very high-dimensional semilinear parabolic PDEs
by: Fang, Shuixin, et al.
Published: (2025)
by: Fang, Shuixin, et al.
Published: (2025)
Hybrid hierarchical matrices with adaptive mixed precision storage
by: Khan, Ritesh, et al.
Published: (2026)
by: Khan, Ritesh, et al.
Published: (2026)
Bayesian D-Optimal Experimental Designs via Column Subset Selection
by: Eswar, Srinivas, et al.
Published: (2024)
by: Eswar, Srinivas, et al.
Published: (2024)
A Generalized Weak Galerkin Method for Linear Elasticity with Nonpolynomial Approximations
by: Wang, Junping, et al.
Published: (2026)
by: Wang, Junping, et al.
Published: (2026)
Improved bounds for randomized Schatten norm estimation of numerically low-rank matrices
by: Chu, Ya-Chi, et al.
Published: (2024)
by: Chu, Ya-Chi, et al.
Published: (2024)
Similar Items
-
The Lie algebra splitg2 with Mathematica using Zorn's matrices
by: Bjerregaard, Pablo Alberca, et al.
Published: (2002) -
Algorithm to compute the rank and a Cartan subalgebra of a matrix Lie algebra with Mathematica
by: Bjerregaard, Pablo Alberca, et al.
Published: (2002) -
Randomized low-rank Runge-Kutta methods
by: Lam, Hei Yin, et al.
Published: (2024) -
Two Variations on the XTrace Algorithm
by: Hallman, Eric
Published: (2025) -
Robust Tensor CUR Decompositions: Rapid Low-Tucker-Rank Tensor Recovery with Sparse Corruption
by: Cai, HanQin, et al.
Published: (2023)