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Introduction to differential equations / Mark H. Holmes

By: Material type: TextTextPublication details: Ann Arbor, Michigan : XanEdu, c2020Edition: 2eDescription: vi, 239 pages ; 26 cmISBN:
  • 9781975077204
Subject(s): LOC classification:
  • QA 372 .H65 2020
Contents:
1. Introduction -- 2. First-Order Equations -- 3. Second-Order Linear Equations -- 4. Linear Systems -- 5. Nonlinear Systems -- 6. Laplace Transform -- 7. Partial Differential Equations -- Matrix Algebra: Summary -- Answers -- Bibliography -- Index.
Summary: This textbook, in its second edition, is a concise introduction to differential equations for students in science and engineering. Emphasis is placed on the methods of solution, on the constructive use of qualitative analysis, and on the interconnections between differential equations and mathematical modeling. It is written in an accessible, easy-to-read, format. There are numerous worked out examples and exercises in each section, along with a wide variety of applications. The text has also been written with affordability and flexibility in mind. The author is an applied mathematician who has written several successful undergraduate and graduate textbooks on mathematical modeling and scientific computing.
Item type: Books
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Holdings
Item type Current library Home library Collection Call number Copy number Status Date due Barcode
Books Books National University - Manila LRC - Main General Circulation Gen. Ed. - COE GC QA 372 .H65 2020 (Browse shelf(Opens below)) c.1 Available NULIB000018925

Includes bibliographical references and index.

1. Introduction -- 2. First-Order Equations -- 3. Second-Order Linear Equations -- 4. Linear Systems -- 5. Nonlinear Systems -- 6. Laplace Transform -- 7. Partial Differential Equations -- Matrix Algebra: Summary -- Answers -- Bibliography -- Index.

This textbook, in its second edition, is a concise introduction to differential equations for students in science and engineering. Emphasis is placed on the methods of solution, on the constructive use of qualitative analysis, and on the interconnections between differential equations and mathematical modeling. It is written in an accessible, easy-to-read, format. There are numerous worked out examples and exercises in each section, along with a wide variety of applications. The text has also been written with affordability and flexibility in mind. The author is an applied mathematician who has written several successful undergraduate and graduate textbooks on mathematical modeling and scientific computing.

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