A Variational Approach for Image Decolorization by Variance Maximization

2014 ◽  
Vol 7 (2) ◽  
pp. 944-968 ◽  
Author(s):  
Zhengmeng Jin ◽  
Fang Li ◽  
Michael K. Ng

1987 ◽  
Vol 48 (C9) ◽  
pp. C9-555-C9-558
Author(s):  
R. L. INTEMANN ◽  
J. LAW ◽  
A. SUZUKI


Author(s):  
Shaya Shakerian

In this paper, we study the existence and multiplicity of solutions for the following fractional problem involving the Hardy potential and concave–convex nonlinearities: [Formula: see text] where [Formula: see text] is a smooth bounded domain in [Formula: see text] containing [Formula: see text] in its interior, and [Formula: see text] with [Formula: see text] which may change sign in [Formula: see text]. We use the variational methods and the Nehari manifold decomposition to prove that this problem has at least two positive solutions for [Formula: see text] sufficiently small. The variational approach requires that [Formula: see text] [Formula: see text] [Formula: see text], and [Formula: see text], the latter being the best fractional Hardy constant on [Formula: see text].



Author(s):  
Philipp Junker ◽  
Daniel Balzani

AbstractWe present a novel approach to topology optimization based on thermodynamic extremal principles. This approach comprises three advantages: (1) it is valid for arbitrary hyperelastic material formulations while avoiding artificial procedures that were necessary in our previous approaches for topology optimization based on thermodynamic principles; (2) the important constraints of bounded relative density and total structure volume are fulfilled analytically which simplifies the numerical implementation significantly; (3) it possesses a mathematical structure that allows for a variety of numerical procedures to solve the problem of topology optimization without distinct optimization routines. We present a detailed model derivation including the chosen numerical discretization and show the validity of the approach by simulating two boundary value problems with large deformations.



Author(s):  
Mohammad Faraji Oskouie ◽  
Reza Ansari ◽  
Hessam Rouhi
Keyword(s):  


IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Mushtaq Ahmad Khan ◽  
Asmat Ullah ◽  
Sahib Khan ◽  
Murtaza Ali ◽  
Sheraz Khan ◽  
...  


Author(s):  
J. Freciozzi ◽  
P. Muse ◽  
A. Almansa ◽  
S. Durand ◽  
A. Khazaal ◽  
...  
Keyword(s):  


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