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Applying Maths in the Chemical and Biomolecular Sciences

An Example-Based Approach

Godfrey Beddard

Publication Date - November 2009

ISBN: 9780199230914

816 pages
Paperback

Description

Applying Maths in the Chemical and Biomolecular Sciences uses an extensive array of examples to demonstrate how mathematics can be applied to chemical and biological systems. Integrating computer software to solve mathematical problems, the text addresses such issues as how vectors help us work out the conformation of DNA or proteins, how matrices help us tackle problems in quantum mechanics, and what differential equations have to do with molecular dynamics and the spread of disease.

An accompanying Online Resource Centre features additional resources for both lecturers and students, enhancing the value of the text as a teaching and learning tool. For lecturers, the website offers figures from the text in electronic format, solutions to half of the problems presented in the book, and a guide tailoring the book for users of Mathematica.

Suitable for both undergraduate and graduates, Applying Maths in the Chemical and Biomolecular Sciences is appropriate for mathematics classes that make applications to chemistry, biochemistry, and biophysical chemistry.

Features

  • Extensive use of applied examples shows how numerical and mathematical tools are used in real research, demonstrating to the student the importance of maths to their subject.
  • Integrates the use of computer software to solve mathematical problems, mirroring the approaches taken by researchers.
  • Dynamic style of delivery uses numerous problems (with solutions) and worked examples to encourage the reader to work through and apply the mathematical tools for themselves.
  • Focus on MAPLE in the text is coupled with equivalent support for Mathematica in the Online Resource Centre, enabling flexibility of use.
  • Online Resource Centre features additional resources for both lecturers and students, enhancing the value of the text as a teaching and learning tool.

About the Author(s)

Godfrey Beddard is Professor of Chemical Physics in the School of Chemistry, University of Leeds, where his research interests encompass femtosecond spectroscopy, electron and energy transfer, and protein folding and unfolding.

Table of Contents

    1. Numbers, Basic Functions, and Algorithms
    2. Complex Numbers
    3. Differentiation
    4. Integration
    5. Vectors
    6. Matrices and Determinants
    7. Matrices in Quantum Mechanics
    8. Summations, Series, and Expansion of Functions
    9. Fourier Series and Transforms
    10. Differential Equations
    11. Numerical Methods
    12. Monte-carlo Methods
    13. Statistics and Data Analysis

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