A Course in Real Analysis

John N McDonald

ISBN 10: 0123877741 / ISBN 13: 9780123877741

Verlag: Elsevier Science Jan 2012, 2012

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -The second edition of A Course in Real Analysis provides a solid foundation of real analysis concepts and principles, presenting a broad range of topics in a clear and concise manner. The book is excellent at balancing theory and applications with a wealth of examples and exercises. The authors take a progressive approach of skill building to help students learn to absorb the abstract. Real world applications, probability theory, harmonic analysis, and dynamical systems theory are included, offering considerable flexibility in the choice of material to cover in the classroom. The accessible exposition not only helps students master real analysis, but also makes the book useful as a reference. New chapter on Hausdorff Measure and Fractals Key concepts and learning objectives give students a deeper understanding of the material to enhance learning More than 200 examples (not including parts) are used to illustrate definitions and results Over 1300 exercises (not including parts) are provided to promote understanding Each chapter begins with a brief biography of a famous mathematician 688 pp. Englisch.

Bestandsnummer des Verkäufers 9780123877741

Bibliografische Details

• Titel: A Course in Real Analysis
• Verlag: Elsevier Science Jan 2012
• Erscheinungsjahr: 2012
• Sprache: Englisch
• ISBN-10: 0123877741
• ISBN-13: 9780123877741
• Einband: Buch
• Auflage: 2. Auflage
• Zustand: Neu
• Abmessungen: 249B x 200 H x 30 T Millimeter Breite: 249 mm, Höhe: 200 mm, Tiefe: 30 mm
• Gewicht: 1196 Gramm

Über diesen Titel

Inhaltsangabe

Approx.668 pages

Über die Autorin bzw. den Autor

Neil A. Weiss (deceased) received his Ph.D. from UCLA and subsequently accepted an assistant-professor position at Arizona State University (ASU), where he was ultimately promoted to the rank of full professor. Weiss has taught mathematics, probability, statistics, and operations research from the freshman level to the advanced graduate level.

In recognition of his excellence in teaching, he received the Dean’s Quality Teaching Award from the ASU College of Liberal Arts and Sciences. He has also been runner-up twice for the Charles Wexler Teaching Award in the ASU School of Mathematical and Statistical Sciences. Weiss’s comprehensive knowledge and experience ensures that his texts are mathematically accurate, as well as pedagogically sound.

Weiss has published research papers in both theoretical and applied mathematics, including probability, engineering, operations research, numerical analysis, and psychology. He has also published several teaching-related papers.

In addition to his numerous research publications, Weiss has authored or coauthored books in real analysis, probability, statistics, and finite mathematics. His texts-well known for their precision, readability, and pedagogical excellence-are used worldwide.