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The Mimetic Finite Difference Method for Elliptic Problems (Hardcover, 2014 ed.): Lourenco Beirao Da Veiga, Konstantin... The Mimetic Finite Difference Method for Elliptic Problems (Hardcover, 2014 ed.)
Lourenco Beirao Da Veiga, Konstantin Lipnikov, Gianmarco Manzini
R3,721 Discovery Miles 37 210 Ships in 12 - 17 working days

This book describes the theoretical and computational aspects of the mimetic finite difference method for a wide class of multidimensional elliptic problems, which includes diffusion, advection-diffusion, Stokes, elasticity, magnetostatics and plate bending problems. The modern mimetic discretization technology developed in part by the Authors allows one to solve these equations on unstructured polygonal, polyhedral and generalized polyhedral meshes. The book provides a practical guide for those scientists and engineers that are interested in the computational properties of the mimetic finite difference method such as the accuracy, stability, robustness, and efficiency. Many examples are provided to help the reader to understand and implement this method. This monograph also provides the essential background material and describes basic mathematical tools required to develop further the mimetic discretization technology and to extend it to various applications.

The Mimetic Finite Difference Method for Elliptic Problems (Paperback, Softcover reprint of the original 1st ed. 2014):... The Mimetic Finite Difference Method for Elliptic Problems (Paperback, Softcover reprint of the original 1st ed. 2014)
Lourenco Beirao Da Veiga, Konstantin Lipnikov, Gianmarco Manzini
R3,104 R2,928 Discovery Miles 29 280 Save R176 (6%) Out of stock

This book describes the theoretical and computational aspects of the mimetic finite difference method for a wide class of multidimensional elliptic problems, which includes diffusion, advection-diffusion, Stokes, elasticity, magnetostatics and plate bending problems. The modern mimetic discretization technology developed in part by the Authors allows one to solve these equations on unstructured polygonal, polyhedral and generalized polyhedral meshes. The book provides a practical guide for those scientists and engineers that are interested in the computational properties of the mimetic finite difference method such as the accuracy, stability, robustness, and efficiency. Many examples are provided to help the reader to understand and implement this method. This monograph also provides the essential background material and describes basic mathematical tools required to develop further the mimetic discretization technology and to extend it to various applications.

The Virtual Element Method and its Applications (Hardcover, 1st ed. 2022): Paola F. Antonietti, Lourenco Beirao Da Veiga,... The Virtual Element Method and its Applications (Hardcover, 1st ed. 2022)
Paola F. Antonietti, Lourenco Beirao Da Veiga, Gianmarco Manzini
R2,647 Discovery Miles 26 470 Ships in 12 - 17 working days

The purpose of this book is to present the current state of the art of the Virtual Element Method (VEM) by collecting contributions from many of the most active researchers in this field and covering a broad range of topics: from the mathematical foundation to real life computational applications. The book is naturally divided into three parts. The first part of the book presents recent advances in theoretical and computational aspects of VEMs, discussing the generality of the meshes suitable to the VEM, the implementation of the VEM for linear and nonlinear PDEs, and the construction of discrete hessian complexes. The second part of the volume discusses Virtual Element discretization of paradigmatic linear and non-linear partial differential problems from computational mechanics, fluid dynamics, and wave propagation phenomena. Finally, the third part contains challenging applications such as the modeling of materials with fractures, magneto-hydrodynamics phenomena and contact solid mechanics. The book is intended for graduate students and researchers in mathematics and engineering fields, interested in learning novel numerical techniques for the solution of partial differential equations. It may as well serve as useful reference material for numerical analysts practitioners of the field.

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