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NUMERICAL METHODS FOR MIXED FINITE ELEMENT PROBLEMS (PB 2022)

NUMERICAL METHODS FOR MIXED FINITE ELEMENT PROBLEMS (PB 2022)

NUMERICAL METHODS FOR MIXED FINITE ELEMENT PROBLEMS (PB 2022)
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NUMERICAL METHODS FOR MIXED FINITE ELEMENT PROBLEMS (PB 2022) Paperback - 2022

by DETEIX J

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USA Edition . New. Brand New! Fast Delivery US Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
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Details

  • Title NUMERICAL METHODS FOR MIXED FINITE ELEMENT PROBLEMS (PB 2022)
  • Author DETEIX J
  • Binding Paperback
  • Edition USA Edition
  • Condition New
  • Pages 116
  • Volumes 1
  • Language ENG
  • Publisher Springer
  • Publication date 2022-09-25
  • Illustrated Yes
  • Features Illustrated
  • Bookseller's Inventory # CBS 9783031126154
  • ISBN 9783031126154 / 3031126157
  • Weight 0.41 lbs (0.19 kg)
  • Dimensions 9.21 x 6.14 x 0.26 in (23.39 x 15.60 x 0.66 cm)
  • Category Mathematics
  • Quantity available 2

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Reader reviews for NUMERICAL METHODS FOR MIXED FINITE ELEMENT PROBLEMS (PB 2022)

From the publisher

This book focuses on iterative solvers and preconditioners for mixed finite element methods. It provides an overview of some of the state-of-the-art solvers for discrete systems with constraints such as those which arise from mixed formulations.

Starting by recalling the basic theory of mixed finite element methods, the book goes on to discuss the augmented Lagrangian method and gives a summary of the standard iterative methods, describing their usage for mixed methods. Here, preconditioners are built from an approximate factorisation of the mixed system.

A first set of applications is considered for incompressible elasticity problems and flow problems, including non-linear models.

An account of the mixed formulation for Dirichlet's boundary conditions is then given before turning to contact problems, where contact between incompressible bodies leads to problems with two constraints.

This book is aimed at graduate students and researchers in the field of numerical methods and scientific computing.

From the rear cover

This book focuses on iterative solvers and preconditioners for mixed finite element methods. It provides an overview of some of the state-of-the-art solvers for discrete systems with constraints such as those which arise from mixed formulations.

Starting by recalling the basic theory of mixed finite element methods, the book goes on to discuss the augmented Lagrangian method and gives a summary of the standard iterative methods, describing their usage for mixed methods. Here, preconditioners are built from an approximate factorisation of the mixed system.

A first set of applications is considered for incompressible elasticity problems and flow problems, including non-linear models.

An account of the mixed formulation for Dirichlet's boundary conditions is then given before turning to contact problems, where contact between incompressible bodies leads to problems with two constraints.

This book is aimed at graduate students and researchers in the field of numerical methods and scientific computing.

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