Výsledky vyhledávání - accelerated preconditions proximal gradient algorithm

Convergence rates of accelerated proximal gradient algorithms under independent noise.

Autoři: Sun, Tao Barrio, Roberto Jiang, Hao a další

Zdroj: Numerical Algorithms; Jun2019, Vol. 81 Issue 2, p631-654, 24p

Témata: INVERSE problems, NOISE, PROCESS optimization, ALGORITHMS, SMOOTHNESS of functions, CONJUGATE gradient methods, DETERMINISTIC algorithms

A Hybrid Stochastic-Deterministic Minibatch Proximal Gradient Method for Efficient Optimization and Generalization.

Autoři: Zhou, Pan Yuan, Xiao-Tong Lin, Zhouchen a další

Zdroj: IEEE Transactions on Pattern Analysis & Machine Intelligence; Oct2022, Vol. 44 Issue 10, p5933-5946, 14p

Témata: LOGISTIC regression analysis, GENERALIZATION, PROBLEM solving, LEAST squares, ALGORITHMS

APPROXIMATE NEWTON POLICY GRADIENT ALGORITHMS.

Autoři: HAOYA LI GUPTA, SAMARTH HSIANGFU YU a další

Zdroj: SIAM Journal on Scientific Computing; 2023, Vol. 45 Issue 5, pA2585-A2609, 25p

Témata: UNCERTAINTY (Information theory), NEWTON-Raphson method, REINFORCEMENT learning, ALGORITHMS, MARKOV processes

Small Target Detection Method Based on Low-Rank Sparse Matrix Factorization for Side-Scan Sonar Images.

Autoři: He, Ju Chen, Jianfeng Xu, Hu a další

Zdroj: Remote Sensing; Apr2023, Vol. 15 Issue 8, p2054, 20p

Témata: SONAR imaging, MATRIX decomposition, LOW-rank matrices, SPARSE matrices, PRINCIPAL components analysis, HOUGH transforms

The 34th Anual Meeting of the Asian Pacific Association for the study of the liver.

Zdroj: Hepatology International; 2025 Suppl 1, Vol. 19, p1-1554, 1554p

Newton-Type Alternating Minimization Algorithm for Convex Optimization.

Autoři: Stella, Lorenzo Themelis, Andreas Patrinos, Panagiotis

Zdroj: IEEE Transactions on Automatic Control; Feb2019, Vol. 64 Issue 2, p697-711, 15p

Témata: LAGRANGIAN functions, DYNAMICAL systems, NONLINEAR systems, APPLIED mathematics, SYSTEMS theory

Efficient biodegradation and upcycling of polyethylene terephthalate mediated by cell-factories.

Autoři: Liu, Fei Wang, Tao Liu, Xiao-huan a další

Zdroj: Frontiers in Microbiology; 2025, p1-35, 35p

Témata: POLYETHYLENE terephthalate, BIODEGRADATION, POLLUTION, CIRCULAR economy, MICROBIOLOGY, ENZYMOLOGY, SUSTAINABILITY

An efficient duality-based approach for PDE-constrained sparse optimization.

Autoři: Song, Xiaoliang Chen, Bo Yu, Bo

Zdroj: Computational Optimization & Applications; Mar2018, Vol. 69 Issue 2, p461-500, 40p

Témata: DUALITY theory (Mathematics), OPTIMAL control theory, MATHEMATICAL regularization, FINITE element method, COORDINATES

A splitting preconditioned primal-dual algorithm with interpolation and extrapolation for bilinear saddle point problem.

Autoři: Chang, Xiaokai Xu, Long Cao, Jianxiong

Zdroj: Numerical Algorithms; Nov2025, Vol. 100 Issue 3, p937-962, 26p

Témata: INTERPOLATION, EXTRAPOLATION, MATHEMATICAL models, MATRIX inversion, ALGORITHMS, MATHEMATICAL optimization, OPTIMIZATION algorithms

An Efficient Active-Set method With Applications to Sparse Approximations and Risk Minimization.

Autoři: Pougkakiotis, Spyridon Gondzio, Jacek Kalogerias, Dionysis

Zdroj: Journal of Scientific Computing; Aug2025, Vol. 104 Issue 2, p1-37, 37p

An Accelerated First-Order Method for Non-convex Optimization on Manifolds.

Autoři: Criscitiello, Christopher Boumal, Nicolas

Zdroj: Foundations of Computational Mathematics; Aug2023, Vol. 23 Issue 4, p1433-1509, 77p

Témata: COST functions, OPTIMIZATION algorithms

ANDERSON ACCELERATED DOUGLAS--RACHFORD SPLITTING.

Autoři: ANQI FU JUNZI ZHANG STEPHEN BOYD

Zdroj: SIAM Journal on Scientific Computing; 2020, Vol. 42 Issue 6, pA3560-A3583, 24p

Témata: NONSMOOTH optimization, STATISTICAL learning, TELECOMMUNICATION, ALGORITHMS, NONCONVEX programming

Fast-Converging and Trustworthy Federated Learning Framework for Privacy-Preserving Stock Price Modeling.

Autoři: Hou, Zilong Ke, Yan Qiu, Yang a další

Zdroj: Electronics (2079-9292); Nov2025, Vol. 14 Issue 22, p4405, 25p

Témata: FEDERATED learning, PRIVACY, DATA security, ASSETS (Accounting), FINANCIAL institutions, MATHEMATICAL optimization

pISTA: PRECONDITIONED ITERATIVE SOFT THRESHOLDING ALGORITHM FOR GRAPHICAL LASSO.

Autoři: SHALOM, GAL TREISTER, ERAN YAVNEH, IRAD

Zdroj: SIAM Journal on Scientific Computing; 2024, Vol. 46 Issue 2, pS445-S466, 22p

Témata: THRESHOLDING algorithms, QUASI-Newton methods, SPARSE matrices

Several accelerated subspace minimization conjugate gradient methods based on regularization model and convergence rate analysis for nonconvex problems.

Autoři: Sun, Wumei Liu, Hongwei Liu, Zexian

Zdroj: Numerical Algorithms; Dec2022, Vol. 91 Issue 4, p1677-1719, 43p

Témata: CONJUGATE gradient methods, INTEGRATED software, QUADRATIC programming

Geografický termín: THAILAND

ANALYSIS OF OPTIMIZATION ALGORITHMS VIA INTEGRAL QUADRATIC CONSTRAINTS: NONSTRONGLY CONVEX PROBLEMS.

Autoři: FAZLYAB, MAHYAR RIBEIRO, ALEJANDRO MORARI, MANFRED a další

Zdroj: SIAM Journal on Optimization; 2018, Vol. 28 Issue 3, p2654-2689, 36p

Témata: INTEGRAL quadratic constraints, LINEAR matrix inequalities, SEMIDEFINITE programming, LYAPUNOV functions, CONVEX programming

Convergence of an accelerated distributed optimisation algorithm over time‐varying directed networks.

Autoři: Hu, Jinhui Yan, Yu Li, Huaqing a další

Zdroj: IET Control Theory & Applications (Wiley-Blackwell); 2021, Vol. 15 Issue 1, p24-39, 16p

Machine Learning Techniques for Requirements Engineering: A Comprehensive Literature Review.

Autoři: Rosado da Cruz, António Miguel Cruz, Estrela Ferreira

Zdroj: Software (2674-113X); Sep2025, Vol. 4 Issue 3, p14, 56p

Témata: MACHINE learning, REQUIREMENTS engineering, ARTIFICIAL intelligence, NATURAL language processing, TRANSFORMER models, GENERATIVE pre-trained transformers, DEEP learning

High-Dimensional Gaussian Sampling: A Review and a Unifying Approach Based on a Stochastic Proximal Point Algorithm.

Autoři: Vono, Maxime Dobigeon, Nicolas Chainais, Pierre

Zdroj: SIAM Review; 2022, Vol. 64 Issue 1, p3-56, 54p

Témata: MARKOV chain Monte Carlo, NUMERICAL solutions for linear algebra, MATHEMATICAL optimization, ALGORITHMS

An Interpretable Ensemble Learning Framework Based on Remote Sensing for Ecological–Geological Environment Evaluation: The Case of Laos.

Autoři: Wang, Zhengyao Kong, Yunhui Xiao, Keyan a další

Zdroj: Remote Sensing; Sep2025, Vol. 17 Issue 18, p3240, 25p

Témata: ENSEMBLE learning, REMOTE sensing, GEOLOGICAL surveys, SUSTAINABLE development, ENVIRONMENTAL mapping, ECOLOGICAL assessment

Geografický termín: LAOS, INDOCHINA