Numerical stability: Mathematics, Numerical Analysis, Algorithm, Numerical Linear Algebra, Function, Round-off Error, Truncation Error, Data Error - Couverture souple

Couverture souple

ISBN 10 : 6130336268 ISBN 13 : 9786130336264

Editeur : Betascript Publishers, 2026

Synopsis

Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. In the mathematical subfield of numerical analysis, numerical stability is a desirable property of numerical algorithms. The precise definition of stability depends on the context, but it is related to the accuracy of the algorithm. A related phenomenon is instability. Typically, algorithms would approach the right solution in the limit, if there were no round-off or truncation errors, but depending on the specific computational method small errors can be magnified, instead of damped, leading to large errors. Sometimes a single calculation can be achieved in several ways, all of which are algebraically equivalent in terms of ideal real or complex numbers, but in practice when performed on digital computers yield different results. Some calculations might damp out approximation errors that occur; others might magnify such errors. Calculations that can be proven not to magnify approximation errors are called numerically stable. One of the common tasks of numerical analysis is to try to select algorithms which are robust - that is to say, have good numerical stability among other desirable properties.

Détails de l'édition

• Éditeur: Betascript Publishers
• Date d'édition: 2026
• Langue: anglais
• ISBN 10: 6130336268
• ISBN 13: 9786130336264
• Reliure: Broché
• Nombre de pages: 132
• Éditeur: Surhone Lambert M., Tennoe Mariam T., Henssonow Susan F.
• Coordonnées du fabricant: non disponible
• Personne responsable: non disponible