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Topics in Numerical Partial Differen...
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Brenner, Susanne C.
Topics in Numerical Partial Differential Equations and Scientific Computing
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Topics in Numerical Partial Differential Equations and Scientific Computing/ edited by Susanne C. Brenner.
其他作者:
Brenner, Susanne C.
面頁冊數:
X, 176 p. 88 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Partial differential equations. -
電子資源:
https://doi.org/10.1007/978-1-4939-6399-7
ISBN:
9781493963997
Topics in Numerical Partial Differential Equations and Scientific Computing
Topics in Numerical Partial Differential Equations and Scientific Computing
[electronic resource] /edited by Susanne C. Brenner. - 1st ed. 2016. - X, 176 p. 88 illus.online resource. - The IMA Volumes in Mathematics and its Applications,1600940-6573 ;. - The IMA Volumes in Mathematics and its Applications,158.
A C^0 Interior Penalty Method for Elliptic Distributed Optimal Control Problems in Three Dimensions with Pointwise State Constraints -- The Effect of the Sensitivity Parameter in Weighted Essentially Non-Oscillatory Methods -- Study of a Mixed Dispersal Population Dynamics Model -- Optimization-based Decoupling Algorithms for a Fluid-Poroelastic System -- Study of Discrete Scattering Operators for Some Linear Kinetic Models -- On Metrics for Computation of Strength of Coupling in Multiphysics Simulations.
Numerical partial differential equations (PDEs) are an important part of numerical simulation, the third component of the modern methodology for science and engineering, besides the traditional theory and experiment. This volume contains papers that originated with the collaborative research of the teams that participated in the IMA Workshop for Women in Applied Mathematics: Numerical Partial Differential Equations and Scientific Computing in August 2014.
ISBN: 9781493963997
Standard No.: 10.1007/978-1-4939-6399-7doiSubjects--Topical Terms:
1102982
Partial differential equations.
LC Class. No.: QA370-380
Dewey Class. No.: 515.353
Topics in Numerical Partial Differential Equations and Scientific Computing
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