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dc.contributor.authorVerma, Ram U
dc.date.accessioned2017-10-17T18:51:06Z
dc.date.available2017-10-17T18:51:06Z
dc.date.issued2009
dc.identifier.citationVerma, R.U. Generalized first-order nonlinear evolution equations and generalized yosida approximations based on H-maximal monotonicity frameworks (2009) Electronic Journal of Differential Equations, 2009, pp. 1-16. Cited 6 times.en_US
dc.identifier.urihttp://hdl.handle.net/11141/2055
dc.descriptionGeneral Yosida approximations, Generalized first-order evolution equations, Generalized resolvent operator, Maximal monotone mapping, Relative H-maximal accretive mapping, Relative H-maximal monotone mapping, Variational problemsen_US
dc.description.abstractFirst a general framework for the Yosida approximation is introduced based on the relative H-maximal monotonicity model, and then it is applied to the solvability of a general class of first-order nonlinear evolution equations. The obtained results generalize and unify a wide range of results to the context of the solvability of first-order nonlinear evolution equations in several settings.© 2009 Texas State University-San Marcos.en_US
dc.language.isoen_USen_US
dc.rightsThis is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. © 2009 Texas State University; licensee Springer.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleGeneralized first-order nonlinear evolution equations and generalized yosida approximations based on H-maximal monotonicity frameworksen_US
dc.typeArticleen_US


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This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. © 2009 Texas State University; licensee Springer.
Except where otherwise noted, this item's license is described as This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. © 2009 Texas State University; licensee Springer.