Applying maths in the chemical and biomolecular sciences : an example-based approach / Godfrey Beddard.
Material type: TextPublication details: Oxford ; New York : Oxford University Press, 2009.Description: xvii, 786 p. : ill. ; 30 cmISBN:- 0199230919 (pbk.)
- 9780199230914 (pbk.)
- 510.54 BED
Item type | Current library | Call number | Copy number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|---|
Standard Loan | Moylish Library Main Collection | 510.54 BED (Browse shelf(Opens below)) | 1 | Available | 39002100460790 |
Enhanced descriptions from Syndetics:
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.
Includes bibliographical references (p. 777-780) and index.
This title uses an extensive array of examples to demonstrate how mathematics is applied to probe and understand chemical and biological systems. It also embeds the use of software, showing how the application of maths and use of software now go hand-in-hand.
Table of contents provided by Syndetics
- 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