Výsledky vyhľadávania - "Optimization problem with orthogonality constraints"

Orthogonal nonnegative matrix factorization problems for clustering: A new formulation and a competitive algorithm.

Autori: Dehghanpour, Ja'far Mahdavi-Amiri, Nezam

Zdroj: Annals of Operations Research. Aug2024, Vol. 339 Issue 3, p1481-1497. 17p.

Predmety: *MATRIX decomposition, *NONNEGATIVE matrices, *MATRIX exponential, *NONLINEAR programming, *QUADRATIC programming

Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications.

Autori: Zhang, Chao Gao, Xianjie Hsieh, Min-Hsiu a ďalší

Zdroj: IEEE Transactions on Information Theory; Feb2020, Vol. 66 Issue 2, p1099-1117, 19p

Predmety: RESTRICTED isometry property, RANDOM matrices, HYPERGEOMETRIC series, MATRIX norms, TAILS, DIVISIBILITY groups, GAUSSIAN distribution

A Block Coordinate Descent Method for Nonsmooth Composite Optimization under Orthogonality Constraints

Autori: Yuan, Ganzhao

Témy: Mathematics - Optimization and Control, Computer Science - Machine Learning, Mathematics - Numerical Analysis, text

URL: http://arxiv.org/abs/2304.03641

Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications

Autori: Zhang, C Gao, X Hsieh, MH a ďalší

Témy: Journal Article

URL: http://hdl.handle.net/10453/139509
IEEE Transactions on Information Theory
10.1109/TIT.2019.2951759

Riemannian acceleration with preconditioning for symmetric eigenvalue problems.

Autori: Shao, Nian Chen, Wenbin

Zdroj: Numerische Mathematik; Feb2025, Vol. 157 Issue 1, p307-354, 48p

Predmety: RIEMANNIAN manifolds, EIGENVALUES, BEHAVIORAL assessment, EXPONENTS, ANGLES

Optimization schemes on manifolds for structured matrices with fixed eigenvalues: Optimization schemes on manifolds for structured matrices...: J. -P. Chehab et al.

Autori: Chehab, Jean-Paul Oviedo, Harry Raydan, Marcos

Zdroj: Computational Optimization & Applications; Jan2025, Vol. 90 Issue 1, p1-26, 26p

Predmety: GRAPH theory, INVERSE problems, SYMMETRIC matrices, COMPUTATIONAL mathematics, SEPARATION of variables

Sums of random symmetric matrices and quadratic optimization under orthogonality constraints.

Autori: Nemirovski, Arkadi

Zdroj: Mathematical Programming; Feb2007, Vol. 109 Issue 2/3, p283-317, 35p, 1 Graph

Predmety: LARGE deviations (Mathematics), PERTURBATION theory, MATRIX inequalities, RELAXATION methods (Mathematics), ORTHOGONALIZATION

Matrix Infinitely Divisible Series: Tail Inequalities and Their Applications

Autori: Zhang, Chao Gao, Xianjie Hsieh, Min-Hsiu a ďalší

Témy: Computer Science - Information Theory, Mathematics - Optimization and Control, text

URL: http://arxiv.org/abs/1809.00781

Locally unitarily invariantizable NEPv and convergence analysis of SCF.

Autori: Lu, Ding Li, Ren-Cang

Zdroj: Mathematics of Computation; Sep2024, Vol. 93 Issue 349, p2291-2329, 39p

Predmety: NONLINEAR equations, EIGENVECTORS

An Efficient Orthonormalization-Free Approach for Sparse Dictionary Learning and Dual Principal Component Pursuit.

Autori: Hu, Xiaoyin Liu, Xin

Zdroj: Sensors (14248220); Jun2020, Vol. 20 Issue 11, p3041-3041, 1p

Predmety: SPARSE approximations, DATA analysis, MATHEMATICAL equivalence

A variance-reduced stochastic gradient tracking algorithm for decentralized optimization with orthogonality constraints.

Autori: Wang, Lei Liu, Xin

Zdroj: Journal of Industrial & Management Optimization; Oct2023, Vol. 19 Issue 10, p1-24, 24p

Predmety: TRACKING algorithms, SCIENTIFIC computing, AUTONOMOUS vehicles, GEOMETRIC approach, DATA science

A Global Cayley Parametrization of Stiefel Manifold for Direct Utilization of Optimization Mechanisms Over Vector Spaces

Autori: Keita Kume Isao Yamada

Zdroj: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). :5554-5558

Predmety: 0211 other engineering and technologies, 02 engineering and technology

Prístupová URL adresa: https://dblp.uni-trier.de/db/conf/icassp/icassp2021.html#KumeY21
https://ieeexplore.ieee.org/document/9414157

A class of smooth exact penalty function methods for optimization problems with orthogonality constraints.

Autori: Xiao, Nachuan Liu, Xin Yuan, Ya-xiang

Zdroj: Optimization Methods & Software; Aug2022, Vol. 37 Issue 4, p1205-1241, 37p

Predmety: CONVEX functions, PROBLEM solving

Multiview clustering of multi-omics data integration by using a penalty model.

Autori: AL-kuhali, Hamas A. Shan, Ma Hael, Mohanned Abduljabbar a ďalší

Zdroj: BMC Bioinformatics; 7/21/2022, Vol. 23 Issue 1, p1-19, 19p

Predmety: SURVIVAL analysis (Biometry), DATA integration, PROBLEM solving, SAMPLE size (Statistics)

Domain Adaptation Preconceived Hashing for Unconstrained Visual Retrieval.

Autori: Huang, Fuxiang Zhang, Lei Gao, Xinbo

Zdroj: IEEE Transactions on Neural Networks & Learning Systems; Oct2022, Vol. 33 Issue 10, p5641-5655, 15p

Predmety: IMAGE retrieval, BINARY codes, IMAGE reconstruction

A competitive optimization approach for data clustering and orthogonal non-negative matrix factorization.

Autori: Dehghanpour-Sahron, Ja'far Mahdavi-Amiri, Nezam

Zdroj: 4OR (1619-4500); Dec2021, Vol. 19 Issue 4, p473-499, 27p

EXACT PENALTY FUNCTION FOR l2,1 NORM MINIMIZATION OVER THE STIEFEL MANIFOLD.

Autori: NACHUAN XIAO XIN LIU YA-XIANG YUAN

Zdroj: SIAM Journal on Optimization; 2021, Vol. 31 Issue 4, p3097-3126, 30p

Predmety: DATA science, NONSMOOTH optimization, STATISTICS

EQUIPPING THE BARZILAI--BORWEIN METHOD WITH THE TWO DIMENSIONAL QUADRATIC TERMINATION PROPERTY.

Autori: YA-KUI HUANG YU-HONG DAI XIN-WEI LIU

Zdroj: SIAM Journal on Optimization; 2021, Vol. 31 Issue 4, p3068-3096, 29p

Predmety: EIGENVALUES, CONSTRAINED optimization, MOTIVATION (Psychology), CONJUGATE gradient methods, LITERATURE

Two adaptive scaled gradient projection methods for Stiefel manifold constrained optimization.

Autori: Oviedo, Harry Dalmau, Oscar Lara, Hugo

Zdroj: Numerical Algorithms; Jul2021, Vol. 87 Issue 3, p1107-1127, 21p

Predmety: CONSTRAINED optimization, SMOOTHNESS of functions, ALGORITHMS, NONLINEAR programming, FACTORIZATION

An Efficient Orthonormalization-Free Approach for Sparse Dictionary Learning and Dual Principal Component Pursuit

Autori: Xiaoyin Hu Xin Liu

Zdroj: Sensors ; Volume 20 ; Issue 11 ; Pages: 3041

Predmety: dual principal component pursuit, orthogonality constraint, sparse dictionary learning, stiefel manifold

Popis súboru: application/pdf

Relation: Physical Sensors; https://dx.doi.org/10.3390/s20113041

Dostupnosť: https://doi.org/10.3390/s20113041