Skip to search formSkip to main contentSkip to account menu

Variational principle

A variational principle is a scientific principle used within the calculus of variations, which develops general methods for finding functions which… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2016
Highly Cited
2016
Deep learning tools have gained tremendous attention in applied machine learning. However such tools for regression and… 
Highly Cited
2015
Highly Cited
2015
Inspired by recent work in machine translation and object detection, we introduce an attention based model that automatically… 
Highly Cited
2014
Highly Cited
2014
Abstract: How can we perform efficient inference and learning in directed probabilistic models, in the presence of continuous… 
Highly Cited
2003
Highly Cited
2003
Highly Cited
2003
Highly Cited
2003
Newton Methods for Nonsmooth Equations.- Global Methods for Nonsmooth Equations.- Equation-Based Algorithms for Complementarity… 
Highly Cited
1989
Highly Cited
1989
Since its publication in 1972, the variational principle of Ekeland has found many applications in different fields of Analysis… 
Highly Cited
1986
Highly Cited
1986
I. Mathematical Foundation of the Stokes Problem.- 1. Generalities on Some Elliptic Boundary Value Problems.- 1.1. Basic Concepts… 
Highly Cited
1981
Highly Cited
1981
The time-dependent variational principle (TDVP).- Lie algebras and symplectic structures.- Symplectic structure on group… 
Highly Cited
1979
Highly Cited
1979
It is frequently explicitly or implicitly assumed that if a variational principle is invariant under some symmetry groupG, then… 
Highly Cited
1974
Highly Cited
1974