A generalized upper and lower solutions method for nonlinear second order ordinary differential equations.
Nieto, Juan J., Cabada, Alberto (1992)
Journal of Applied Mathematics and Stochastic Analysis
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Displaying similar documents to “A monotone iterative method for boundary value problems of parametric differential equations.”
A generalized upper and lower solutions method for nonlinear second order ordinary differential equations.
The method of lower and upper solutions for th-order periodic boundary value problems.
Cabada, Alberto (1994)
Journal of Applied Mathematics and Stochastic Analysis
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Unique solution of periodic boundary value problems.
Sun, Yong (1991)
Journal of Applied Mathematics and Stochastic Analysis
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Iterative solution of negative exponent Emden-Fowler problems.
Luning, C.D., Perry, W.L. (1990)
International Journal of Mathematics and Mathematical Sciences
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Rotation sets for some non-continuous maps of degree one.
Esquembre, F. (1992)
Acta Mathematica Universitatis Comenianae. New Series
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Reaction diffusion equations and quadratic convergence.
Vatsala, A.S., Mahrous, Mohamed A., Alkahby, Hadi Yahya (1997)
Journal of Applied Mathematics and Stochastic Analysis
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Bellman approach to some problems in harmonic analysis
Alexander Volberg (2001-2002)
Séminaire Équations aux dérivées partielles
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The stochastic optimal control uses the differential equation of Bellman and its solution - the Bellman function. Recently the Bellman function proved to be an efficient tool for solving some (sometimes old) problems in harmonic analysis.
Quasilinearization for some nonlocal problems.
Yin, Yunfeng (1993)
Journal of Applied Mathematics and Stochastic Analysis
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Extremal solutions and strong relaxation for second order multivalued boundary value problems
Leszek Gasiński, Nikolaos S. Papageorgiou (2005)
Czechoslovak Mathematical Journal
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In this paper we study semilinear second order differential inclusions involving a multivalued maximal monotone operator. Using notions and techniques from the nonlinear operator theory and from multivalued analysis, we obtain “extremal” solutions and we prove a strong relaxation theorem.