Chemical and Biomedical Engineering Calculations Using Python

Author:   Jeffrey J. Heys
Publisher:   John Wiley & Sons Inc
ISBN:  

9781119267065


Pages:   288
Publication Date:   07 March 2017
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Chemical and Biomedical Engineering Calculations Using Python


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Overview

Presents standard numerical approaches for solving common mathematical problems in engineering using Python. Covers the most common numerical calculations used by engineering students Covers Numerical Differentiation and Integration, Initial Value Problems, Boundary Value Problems, and Partial Differential Equations Focuses on open ended, real world problems that require students to write a short report/memo as part of the solution process Includes an electronic download of the Python codes presented in the book

Full Product Details

Author:   Jeffrey J. Heys
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 16.00cm , Height: 2.50cm , Length: 23.60cm
Weight:   0.612kg
ISBN:  

9781119267065


ISBN 10:   1119267064
Pages:   288
Publication Date:   07 March 2017
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Jeffrey J. Heys is currently the department head in Chemical and Biological Engineering at Montana State University. He has taught numerous courses in Chemical and Biological Engineering for 15 years. He also taught courses in Applied Mathematics at the University of Colorado at Boulder, including Numerical Analysis, for three years. Jeff has been creating mathematical models of biological systems for approximately 20 years, published more than 40 peer reviewed papers, and has programmed extensively in FORTRAN, C, C++, MATLAB®, and Python®.

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