Results 321 to 330 of about 30,988,225 (367)

Variable Selection

Model-Based Clustering and Classification for Data Science, 2019
Bastian Goldluecke, Variational Method, Velvety Reflectance, Video Mosaicing, Zhigang Zhu, Cees G. M. Snoek, A. Smeulders, Vasu Parameswaran, Ashok Veeraraghavan   +8 more
semanticscholar   +1 more source

The Variational and WKB Methods

1994
More often than not, it is impossible to find exact solutions to the eigenvalue problem of the Hamiltonian. One then turns to approximation methods, some of which will be described in this and the following chapters. In this section we consider a few examples that illustrate the variational method.
openaire   +2 more sources

Nonlinear Chirp Mode Decomposition: A Variational Method

IEEE Transactions on Signal Processing, 2017
Shiqian Chen, Xingjian Dong, Zhike Peng, Wenming Zhang, G. Meng   +4 more
semanticscholar   +1 more source

Variational methods for Hamiltonian PDEs

2008
We present recent existence results of periodic solutions for completely resonant nonlinear wave equations in which both "small divisor" difficulties and infinite dimensional bifurcation phenomena occur. These results can be seen as generalizations of the classical finite-dimensional resonant center theorems of Weinstein-Moser and Fadell-Rabinowitz ...
openaire   +4 more sources

Variational Mode Decomposition

IEEE Transactions on Signal Processing, 2014
Konstantin Dragomiretskiy, Dominique Zosso   +1 more
semanticscholar   +1 more source

A variational method to avoid locking—independent of the discretization scheme

, 2018
Simon Bieber, Bastian Oesterle, E. Ramm, M. Bischoff   +3 more
semanticscholar   +1 more source

Variational Method

UNITEXT for Physics, 2019
Leonardo Angelini
semanticscholar   +1 more source

Magnetic resonance linear accelerator technology and adaptive radiation therapy: An overview for clinicians

Ca-A Cancer Journal for Clinicians, 2022
William A Hall, Brigid A Mcdonald, Travis C Salzillo   +2 more
exaly  

Variational Methods

2017
In this chapter we discuss the use of optimization techniques in the study of ordinary and partial differential equations. The key idea is that a differential equation may arise as a necessary condition satisfies by a critical point of a well-chosen functional.
openaire   +2 more sources

Approximation solutions of derivative nonlinear Schrödinger equation with computational applications by variational method

The European Physical Journal Plus, 2015
A. Seadawy
semanticscholar   +1 more source