1.

Record Nr.

UNINA9910300160003321

Autore

Cloud Michael J

Titolo

Inequalities : With Applications to Engineering / / by Michael J. Cloud, Byron C. Drachman, Leonid P. Lebedev

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014

ISBN

3-319-05311-6

Edizione

[2nd ed. 2014.]

Descrizione fisica

1 online resource (XIII, 239 p. 30 illus.) : online resource

Disciplina

620.00151

Soggetti

Functions of real variables

Functions, Special

Applied mathematics

Engineering mathematics

Real Functions

Special Functions

Mathematical and Computational Engineering

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di contenuto

Preface -- 1. Basic Review and Elementary Facts -- 2. Methods from the Calculus -- 3. Some Standard Inequalities -- 4. Inequalities in Abstract Spaces -- 5. Some Applications -- 6. Inequalities for Differential Equations -- 7. Brief Introduction to Interval Analysis -- Hints for Selected Problems -- References -- Appendix.

Sommario/riassunto

This book offers a concise introduction to mathematical inequalities for graduate students and researchers in the fields of engineering and applied mathematics. It begins by reviewing essential facts from algebra and calculus and proceeds with a presentation of the central inequalities of applied analysis, illustrating a wide variety of practical applications. The text provides a gentle introduction to abstract spaces, such as metric, normed, and inner product spaces. It also provides full coverage of the central inequalities of applied analysis, such as Young's inequality, the inequality of the means, Hölder's inequality, Minkowski's inequality, the Cauchy–Schwarz inequality, Chebyshev's inequality, Jensen's inequality, and the triangle inequality. The second edition



features extended coverage of applications, including continuum mechanics and interval analysis. It also includes many additional examples and exercises with hints and full solutions that may appeal to upper-level undergraduate and graduate students, as well as researchers in engineering, mathematics, physics, chemistry, or any other quantitative science.