Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
US$ 23.41
Quantity: 15 available
Add to basketPAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Seller: Forgotten Books, London, United Kingdom
US$ 17.15
Quantity: Over 20 available
Add to basketPaperback. Condition: New. Print on Demand. This book explores the performance of various iterative methods for solving the linear systems that arise from the finite element approximations of self-adjoint elliptic partial differential operators. The methods are compared based on their efficiency on serial and parallel machines, offering a comprehensive analysis of their strengths and weaknesses within different computational environments. The author presents a detailed study of several methods, including diagonal scaling, incomplete Cholesky decomposition, hierarchical basis functions, and a Neumann-Dirichlet domain decomposition technique. Numerical results obtained from tests performed on the NYU Ultracomputer Prototype are included, providing valuable insights into the practical performance of these methods. Through its rigorous analysis and practical testing, this book contributes significantly to the field of computational methods for solving partial differential equations, making it a valuable resource for researchers and practitioners in scientific computing, engineering, and applied mathematics. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book. print-on-demand item.
Language: English
Published by LIGHTNING SOURCE INC, 2015
ISBN 10: 1341537900 ISBN 13: 9781341537905
Seller: moluna, Greven, Germany
Gebunden. Condition: New.
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New. Print on Demand pp. 28.