Handbook for Automatic Computation : Volume II: Linear Algebra

John H. Wilkinson

ISBN 10: 3642869424 / ISBN 13: 9783642869426

Verlag: Springer Berlin Heidelberg, 2014

Beschreibung

Druck auf Anfrage Neuware - Printed after ordering - The development of the internationally standardized language ALGOL has made it possible to prepare procedures which can be used without modification whenever a computer with an ALGOL translator is available. Volume Ia in this series gave details of the restricted version of ALGOL which is to be employed throughout the Handbook, and volume Ib described its implementation on a computer. Each of the subsequent volumes will be devoted to a presentation of the basic algorithms in some specific areas of numerical analysis. This is the first such volume and it was feIt that the topic Linear Algebra was a natural choice, since the relevant algorithms are perhaps the most widely used in numerical analysis and have the advantage of forming a weil defined dass. The algorithms described here fall into two main categories, associated with the solution of linear systems and the algebraic eigenvalue problem respectively and each set is preceded by an introductory chapter giving a comparative assessment.

Bestandsnummer des Verkäufers 9783642869426

Bibliografische Details

• Titel: Handbook for Automatic Computation : Volume II: Linear Algebra
• Verlag: Springer Berlin Heidelberg
• Erscheinungsjahr: 2014
• Sprache: Englisch
• ISBN-10: 3642869424
• ISBN-13: 9783642869426
• Einband: Taschenbuch
• Zustand: Neu

Über diesen Titel

Inhaltsangabe

The development of the internationally standardized language ALGOL has made it possible to prepare procedures which can be used without modification whenever a computer with an ALGOL translator is available. Volume Ia in this series gave details of the restricted version of ALGOL which is to be employed throughout the Handbook, and volume Ib described its implementation on a computer. Each of the subsequent volumes will be devoted to a presentation of the basic algorithms in some specific areas of numerical analysis. This is the first such volume and it was feIt that the topic Linear Algebra was a natural choice, since the relevant algorithms are perhaps the most widely used in numerical analysis and have the advantage of forming a weil defined dass. The algorithms described here fall into two main categories, associated with the solution of linear systems and the algebraic eigenvalue problem respectively and each set is preceded by an introductory chapter giving a comparative assessment.