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Ljusternik-Schnirelman minimax algorithms and an application for finding multiple negative energy solutions of semilinear elliptic Dirichlet problem involving concave and convex nonlinearities. I: Algorithms and convergence - MaRDI portal

Ljusternik-Schnirelman minimax algorithms and an application for finding multiple negative energy solutions of semilinear elliptic Dirichlet problem involving concave and convex nonlinearities. I: Algorithms and convergence (Q283281)

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scientific article; zbMATH DE number 6580430
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Ljusternik-Schnirelman minimax algorithms and an application for finding multiple negative energy solutions of semilinear elliptic Dirichlet problem involving concave and convex nonlinearities. I: Algorithms and convergence
scientific article; zbMATH DE number 6580430

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    Ljusternik-Schnirelman minimax algorithms and an application for finding multiple negative energy solutions of semilinear elliptic Dirichlet problem involving concave and convex nonlinearities. I: Algorithms and convergence (English)
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    13 May 2016
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    The paper under review establishes two minimax algorithms related to the Ljusternik-Schnirelman theory, which is a central tool in critical point theory. Related global sequence convergence properties are also proved in this paper. The final section contains a numerical experiment to calculate multiple negative energy solutions of a semilinear elliptic equation with Dirichlet boundary condition.
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    Ljusternik-Schnirelman critical point theory
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    Ljusternik-Schnirelman minimax algorithm
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    semilinear elliptic equation
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    concave and convex nonlinearities
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    finite element method
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    convergence
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