Fast and Adaptive Boosting Techniques for Variational Based Image Restoration
IEEE Access, 2019 Variational based problems are an important class of problems and have a space of improvement in image processing. Boosting techniques have been shown capable of improving many image restoration algorithms.
Samad Wali +6 more
doaj +1 more source
Frontiers in Psychiatry, 2022 Artificial intelligence (AI) advancements have radically altered human production and daily living. When it comes to AI's quick rise, it facilitates the growth of China's citizens, and at the same moment, a lack of intelligence has led to several ...
Hao Liu
doaj +1 more source
Variational Integrators and the Newmark Algorithm for Conservative and Dissipative Mechanical Systems [PDF]
, 1999 The purpose of this work is twofold. First, we demonstrate analytically that the classical Newmark family as well as related integration algorithms are variational in the sense of the Veselov formulation of discrete mechanics.
Armero +40 more
core +3 more sources
A variational approach for continuous supply chain networks [PDF]
, 2014 We consider a continuous supply chain network consisting of buffering queues and processors first proposed by [D. Armbruster, P. Degond, and C. Ringhofer, SIAM J. Appl. Math., 66 (2006), pp. 896–920] and subsequently analyzed by [D. Armbruster, P. Degond,
Friesz, TL, Han, K, Yao, T
core +1 more source
Variational approach for resolving the flow of generalized Newtonian fluids in circular pipes and plane slits [PDF]
, 2015 In this paper, we use a generic and general variational method to obtain solutions to the flow of generalized Newtonian fluids through circular pipes and plane slits.
Sochi, Taha
core +4 more sources
Structured Linearization of Discrete Mechanical Systems for Analysis and Optimal Control [PDF]
, 2017 Variational integrators are well-suited for simulation of mechanical systems because they preserve mechanical quantities about a system such as momentum, or its change if external forcing is involved, and holonomic constraints.
Johnson, Elliot +2 more
core +1 more source
PyDDA: A Pythonic Direct Data Assimilation Framework for Wind Retrievals
Journal of Open Research Software, 2020 This software assimilates data from an arbitrary number of weather radars together with other spatial wind fields (eg numerical weather forecasting model data) in order to retrieve high resolution three dimensional wind fields. PyDDA uses NumPy and SciPy’
Robert Jackson +4 more
doaj +1 more source
Optimization of Quantum Monte Carlo Wave Functions Using Analytical Energy Derivatives [PDF]
, 1999 An algorithm is proposed to optimize quantum Monte Carlo (QMC) wave functions based on New ton's method and analytical computation of the first and second derivatives of the variati onal energy. This direct application of the variational principle yields
Lin, Xi +2 more
core +2 more sources
Deflation for semismooth equations [PDF]
, 2019 Variational inequalities can in general support distinct solutions. In this paper we study an algorithm for computing distinct solutions of a variational inequality, without varying the initial guess supplied to the solver.
Croci, Matteo +2 more
core +3 more sources
Quantum Algorithms in Electromagnetic Propagation Modelling for Telecommunications
IEEE Access, 2023 Modelling of electromagnetic wave propagation in telecommunications has evolved from empirical models to highly deterministic ray tracing and numerical methods.
Roman Novak
doaj +1 more source