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Numerical Methods with Chemical Engineering Applications

$74.00 ( ) USD

Part of Cambridge Series in Chemical Engineering

  • Date Published: January 2017
  • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • format: Adobe eBook Reader
  • isbn: 9781108110563

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About the Authors
  • Designed primarily for undergraduates, but also graduates and practitioners, this textbook integrates numerical methods and programming with applications from chemical engineering. Combining mathematical rigor with an informal writing style, it thoroughly introduces the theory underlying numerical methods, its translation into MATLAB programs, and its use for solving realistic problems. Specific topics covered include accuracy, convergence and numerical stability, as well as stiffness and ill-conditioning. MATLAB codes are developed from scratch, and their implementation is explained in detail, all while assuming limited programming knowledge. All scripts employed are downloadable, and built-in MATLAB functions are discussed and contextualised. Numerous examples and homework problems - from simple questions to extended case studies - accompany the text, allowing students to develop a deep appreciation for the range of real chemical engineering problems that can be solved using numerical methods. This is the ideal resource for a single-semester course on numerical methods, as well as other chemical engineering courses taught over multiple semesters.

    • Teaches fundamental mathematics, theory and programming with applications to chemical engineering
    • A solutions manual and code are available online
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    Reviews & endorsements

    'Dorfman and Daoutidis’s new book is a welcome addition to the undergraduate chemical engineering textbook literature. It provides a very attractive combination of programming, applied mathematics and chemical engineering applications, and is written in an accessible style. The incorporation of example MATLAB codes will be very helpful to students.' Michael D. Graham, University of Wisconsin, Madison

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    Product details

    • Date Published: January 2017
    • format: Adobe eBook Reader
    • isbn: 9781108110563
    • contains: 135 b/w illus. 12 tables
    • availability: This ISBN is for an eBook version which is distributed on our behalf by a third party.
  • Table of Contents

    1. Mathematical modeling and structured programming
    2. Linear algebraic equations
    3. Nonlinear algebraic equations
    4. Initial value problems
    5. Dynamical systems
    6. Boundary value problems
    7. Partial differential equations
    8. Interpolation and integration
    Appendix A. MATLAB tutorial
    Appendix B. Determinant of a matrix.

  • Resources for

    Numerical Methods with Chemical Engineering Applications

    Kevin D. Dorfman, Prodromos Daoutidis

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  • Authors

    Kevin D. Dorfman, University of Minnesota
    Kevin D. Dorfman is Professor of Chemical Engineering and Materials Science at the University of Minnesota. He is a recipient of the Colburn Award of the American Institute of Chemical Engineers, the Defense Advanced Research Projects Agency Young Investigator Award, a Packard Fellowship, the National Science Foundation CAREER Award, and both the Dreyfus New Faculty and Teacher-Scholar Awards. He has co-authored over 100 papers.

    Prodromos Daoutidis, University of Minnesota
    Prodromos Daoutidis is Professor and Executive Officer in the Department of Chemical Engineering and Materials Science at the University of Minnesota. He a the recipient of the National Science Foundation CAREER Award, the Process Systems Enterprise Model Based Innovation Prize, the Ted Peterson Award of the American Institute of Chemical Engineers, the McKnight Land Grant Professorship, the Ray D. Johnson/Mayon Plastics Professorship, and the Shell Chair. He has been a Humphrey Institute Policy Fellow, and has co-authored two research monographs and over 220 papers.

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