Imagen de Portada

On the distance to low-rank matrices in the maximum norm

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Budzinskiy, Stanislav
Formato:	Preprint
Publicado:	2023
Materias:	Numerical Analysis Probability
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Entrywise tensor-train approximation of large tensors via random embeddings
por: Budzinskiy, Stanislav
Publicado: (2024)

Quasioptimal alternating projections and their use in low-rank approximation of matrices and tensors
por: Budzinskiy, Stanislav
Publicado: (2023)

When big data actually are low-rank, or entrywise approximation of certain function-generated matrices
por: Budzinskiy, Stanislav
Publicado: (2024)

Matrices over a Hilbert space and their low-rank approximation
por: Budzinskiy, Stanislav
Publicado: (2025)

Low-rank cross approximation of function-valued tensors for reduced-order modeling of parametric PDEs
por: Budzinskiy, Stanislav, et al.
Publicado: (2025)

Complete pivoting growth of butterfly matrices and butterfly Hadamard matrices
por: Peca-Medlin, John
Publicado: (2024)

Tensor train completion: local recovery guarantees via Riemannian optimization
por: Budzinskiy, Stanislav, et al.
Publicado: (2021)

Pivot probabilities and norm effects in Gaussian elimination for $β$-ensembles
por: Gunawan, Kenji, et al.
Publicado: (2025)

Estimates for the distances between solutions to Kolmogorov equations with diffusion matrices of low regularity
por: Bogachev, Vladimir I., et al.
Publicado: (2025)

A tamed-adaptive Milstein scheme for stochastic differential equations with low regularity coefficients
por: Vu, Thi-Huong, et al.
Publicado: (2024)

Correction to "Wasserstein distance estimates for the distributions of numerical approximations to ergodic stochastic differential equations"
por: Paulin, Daniel, et al.
Publicado: (2024)

Numerical Error Analysis of Large Language Models
por: Budzinskiy, Stanislav, et al.
Publicado: (2025)

Randomized low-rank approximation of parameter-dependent matrices
por: Kressner, Daniel, et al.
Publicado: (2023)

Singular values of sparse random rectangular matrices: Emergence of outliers at criticality
por: Dumitriu, Ioana, et al.
Publicado: (2025)

Quaternion tensor low rank Quaternion tensor low-rank approximation using a family of non-convex norms
por: Zahir, Alaeddine, et al.
Publicado: (2024)

Approximations of dispersive PDEs in the presence of low-regularity randomness
por: Bronsard, Yvonne Alama, et al.
Publicado: (2022)

Consistent inference for diffusions from low frequency measurements
por: Nickl, Richard
Publicado: (2022)

Accelerated alternating minimization algorithm for low-rank approximations in the Chebyshev norm
por: Morozov, Stanislav, et al.
Publicado: (2024)

Central limit theorem for temporal average of backward Euler--Maruyama method
por: Jin, Diancong
Publicado: (2023)

Nonlinear Expectation Inference for Efficient Uncertainty Quantification and History Matching of Transient Darcy Flows in Porous Media with Random Parameters Under Distribution Uncertainty
por: Zhang, Zhao, et al.
Publicado: (2023)

Numerical approximation of McKean-Vlasov SDEs via stochastic gradient descent
por: Agarwal, Ankush, et al.
Publicado: (2023)

Wellposedness, exponential ergodicity and numerical approximation of fully super-linear McKean--Vlasov SDEs and associated particle systems
por: Chen, Xingyuan, et al.
Publicado: (2023)

Exponential Euler method for stiff stochastic differential equations with additive fractional Brownian noise
por: Kamrani, Minoo, et al.
Publicado: (2023)

Strong convergence rates for a full discretization of stochastic wave equation with nonlinear damping
por: Cai, Meng, et al.
Publicado: (2023)

Enhanced Fractional Fourier Transform (FRFT) scheme based on closed Newton-Cotes rules
por: Nzokem, A. H.
Publicado: (2023)

On the convergence of adaptive approximations for stochastic differential equations
por: Foster, James, et al.
Publicado: (2023)

A quick probability-oriented introduction to operator splitting methods
por: Vovchanskyi, M. B.
Publicado: (2023)

Second order quantitative bounds for unadjusted generalized Hamiltonian Monte Carlo
por: Camrud, Evan, et al.
Publicado: (2023)

A subspace constrained randomized Kaczmarz method for structure or external knowledge exploitation
por: Lok, Jackie, et al.
Publicado: (2023)

Rectified deep neural networks overcome the curse of dimensionality when approximating solutions of McKean--Vlasov stochastic differential equations
por: Neufeld, Ariel, et al.
Publicado: (2023)

Improved estimates for the sharp interface limit of the stochastic Cahn-Hilliard equation with space-time white noise
por: Baňas, Ľubomír, et al.
Publicado: (2023)

Asymptotics of large deviations of finite difference method for stochastic Cahn--Hilliard equation
por: Jin, Diancong, et al.
Publicado: (2023)

Parameter Estimation for the Reduced Fracture Model via a Direct Filter Method
por: Huynh, Phuoc Toan, et al.
Publicado: (2024)

A Regeneration-based a Posteriori Error Bound for a Markov Chain Stationary Distribution Truncation Algorithm
por: Glynn, Peter W., et al.
Publicado: (2025)

On the performance of the Euler-Maruyama scheme for multidimensional SDEs with discontinuous drift coefficient
por: Müller-Gronbach, Thomas, et al.
Publicado: (2025)

Hausdorff Moment Transforms and Their Performance
por: Wang, Xinyun, et al.
Publicado: (2022)

McKean-Vlasov stochastic differential equations with super-linear measure arguments: well-posedness and propagation of chaos
por: Liu, Zhuoqi, et al.
Publicado: (2026)

A Numerical Truncation Approximation with A Posteriori Error Bounds for the Solution of Poisson's Equation
por: Mahdian, Saied, et al.
Publicado: (2024)

Two-grid Penalty Approximation Scheme for Doubly Reflected BSDEs
por: Lee, Wonjae, et al.
Publicado: (2026)

Particle method and quantization-based schemes for the simulation of the McKean-Vlasov equation
por: Liu, Yating
Publicado: (2022)