Výsledky vyhledávání - Physics-informed greedy algorithm

gLaSDI: Parametric Physics-informed Greedy Latent Space Dynamics Identification

Autoři: He, Xiaolong Choi, Youngsoo Fries, William D. a další

Témata: Electrical Engineering and Systems Science - Systems and Control, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Machine Learning, Mathematics - Numerical Analysis, Physics - Computational Physics, text

URL: http://arxiv.org/abs/2204.12005

Randomized Greedy Algorithms for Neural Network Optimization in Solving Partial Differential Equations.

Autoři: Xu, Jinchao Xu, Xiaofeng

Zdroj: Journal of Scientific Computing; Oct2025, Vol. 105 Issue 1, p1-35, 35p

gLaSDI: Parametric physics-informed greedy latent space dynamics identification.

Autoři: He, Xiaolong Choi, Youngsoo Fries, William D. a další

Zdroj: Journal of Computational Physics. Sep2023, Vol. 489, pN.PAG-N.PAG. 1p.

Témata: *NONLINEAR dynamical systems, *GREEDY algorithms, *REDUCED-order models, *BURGERS' equation, *HEAT conduction, *NONLINEAR equations, *LATENT variables, *ADVECTION-diffusion equations

Greedy algorithms for physics-informed sparse sensor selection

Autoři: Clark, Emily Elizabeth Kutz, Jose N Brunton, Steven L

Přispěvatelé: Clark, Emily Elizabeth Kutz, Jose N Brunton, Steven L

Témata: Control theory, Greedy algorithms, Reduced order modeling, Sensors, Physics, Applied mathematics, Mechanical engineering

Popis souboru: application/pdf

Relation: Clark_washington_0250E_22009.pdf; http://hdl.handle.net/1773/46548

Dostupnost: http://hdl.handle.net/1773/46548

Certified data-driven physics-informed greedy auto-encoder simulator

Autoři: He, Xiaolong Choi, Youngsoo Fries, William D. a další

Témata: Computer Science - Machine Learning, Mathematics - Numerical Analysis, Physics - Computational Physics, text

URL: http://arxiv.org/abs/2211.13698

Greedy Training Algorithms for Neural Networks and Applications to PDEs

Autoři: Siegel, Jonathan W. Hong, Qingguo Jin, Xianlin a další

Témata: Mathematics - Numerical Analysis, 65N30, 65N22, 65H20, text

URL: http://arxiv.org/abs/2107.04466

Greedy Algorithm for Neural Networks for Indefinite Elliptic Problems.

Autoři: Hong, Qingguo Jia, Jiwei Lee, Young Ju a další

Zdroj: Journal of Scientific Computing; Sep2025, Vol. 104 Issue 3, p1-26, 26p

Sensitivity Analysis of Structural Dynamic Behavior Based on the Sparse Polynomial Chaos Expansion and Material Point Method.

Autoři: Li, Wenpeng Liu, Zhenghe Ma, Yujing a další

Zdroj: Computer Modeling in Engineering & Sciences (CMES); 2025, Vol. 142 Issue 2, p1515-1543, 29p

Témata: MATERIAL point method, STRUCTURAL dynamics, MONTE Carlo method, FINITE difference method, GREEDY algorithms, POLYNOMIAL chaos

Classifier-dependent feature selection via greedy methods.

Autoři: Camattari, Fabiana Guastavino, Sabrina Marchetti, Francesco a další

Zdroj: Statistics & Computing; Oct2024, Vol. 34 Issue 5, p1-12, 12p

ROBUST IDENTIFICATION OF DIFFERENTIAL EQUATIONS BY NUMERICAL TECHNIQUES FROM A SINGLE SET OF NOISY OBSERVATION.

Autoři: YUCHEN HE SUNG-HA KANG WENJING LIAO a další

Zdroj: SIAM Journal on Scientific Computing; 2022, Vol. 44 Issue 3, pA1145-A1175, 31p

Témata: DIFFERENTIAL equations, PARTIAL differential equations, NUMERICAL differentiation, GREEDY algorithms, DIFFERENTIAL evolution, INVERSE problems, BLOCK ciphers

AMS-NET: ADAPTIVE MULTISCALE SPARSE NEURAL NETWORK WITH INTERPRETABLE BASIS EXPANSION FOR MULTIPHASE FLOW PROBLEMS.

Autoři: YATING WANG WING TAT LEUNG GUANG LIN

Zdroj: Multiscale Modeling & Simulation; 2022, Vol. 20 Issue 2, p618-640, 23p

Témata: MULTIPHASE flow, ORTHOGONAL decompositions, PROPER orthogonal decomposition, DEGREES of freedom, DECOMPOSITION method, GREEDY algorithms

A Certified Reduced-Order Framework Based on Legendre Collocation for a Rayleigh-Bénard Problem.

Autoři: Cortés, Jesús Herrero, Henar Pla, Francisco

Zdroj: Journal of Scientific Computing; Oct2025, Vol. 105 Issue 1, p1-44, 44p

Predicting Mechanical Properties of High-strength Titanium Alloys through Feature Engineering-guided Machine Learning Algorithms.

Autoři: Ren, Jia-Kuan Ji, Yu-Ze Zhu, Li-Juan a další

Zdroj: Journal of Physics: Conference Series; 2025, Vol. 3129 Issue 1, p1-15, 15p

Sparse regression for discovery of constitutive models from oscillatory shear measurements.

Autoři: Shanbhag, Sachin Erlebacher, Gordon

Zdroj: Physics of Fluids; Oct2024, Vol. 36 Issue 10, p1-19, 19p

Témata: SHEARING force, NONLINEAR regression, GREEDY algorithms, PARSIMONIOUS models, NONLINEAR equations

Sample-efficient inverse design of freeform nanophotonic devices with physics-informed reinforcement learning.

Autoři: Park, Chaejin Kim, Sanmun Jung, Anthony W. a další

Zdroj: Nanophotonics (21928606); Apr2024, Vol. 13 Issue 8, p1483-1492, 10p

Témata: OPTIMIZATION algorithms, REINFORCEMENT learning, LOCAL government

High-Dimensional Numerical Methods for Nonlocal Models.

Autoři: Jia, Yujing Wang, Dongbo Guo, Xu

Zdroj: Mathematics (2227-7390); Nov2025, Vol. 13 Issue 21, p3512, 23p

Témata: ALGORITHMS, NUMERICAL analysis, VISCOELASTICITY, FRACTURE mechanics, ELECTROMAGNETIC wave scattering, MATHEMATICAL models

A CNN-PINN-DRL driven method for shape optimization of airfoils.

Autoři: Liu, Ying Yuan Shen, Jian Xiong Yang, Ping Ping a další

Zdroj: Engineering Applications of Computational Fluid Mechanics; Dec2025, Vol. 19 Issue 1, p1-16, 16p

Arctic Puffin Optimization Algorithm Integrating Opposition-Based Learning and Differential Evolution with Engineering Applications.

Autoři: Zhu, Yating Wang, Tinghua Zhao, Ning

Zdroj: Biomimetics (2313-7673); Nov2025, Vol. 10 Issue 11, p767, 32p

Témata: OPTIMIZATION algorithms, DIFFERENTIAL evolution, TECHNOLOGICAL innovations, MATHEMATICAL optimization, SWARM intelligence

Adaptive particle swarm optimization with Multi-Heuristic initializations for Truck–UGV collaborative routing for emergency material distribution.

Autoři: Weng, Xun Bu, Fangwen Fan, Hongqiang a další

Zdroj: Cluster Computing; Feb2026, Vol. 29 Issue 1, p1-31, 31p

Sensor placement for data assimilation of turbulence models using eigenspace perturbations.

Autoři: Bidar, O. Anderson, S. R. Qin, N.

Zdroj: Physics of Fluids; Jan2024, Vol. 36 Issue 1, p1-16, 16p

Témata: SENSOR placement, FLOW separation, TURBULENCE, GREEDY algorithms, TURBULENT flow