Applying Maths in the Chemical and Biomolecular Sciences

• 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 (all with fully worked-through solutions) and worked examples to encourage the reader to work through and apply the mathematical tools for themselves.
• The questions in each chapter are mostly science-based, illustrating to the reader the kinds of problems that are likely to be met by a scientist, and giving the book an important real-life perspective.
• MAPLE is used throughout the text to perform computer algebra, with examples of simple calculations, and algorithms for more complicated ones.
• A MAPLE-to-Mathematica conversion table (available in the Online Resource Centre) allows flexibility of use with this alternative software package.
• Online Resource Centre features additional resources for both lecturers and students, enhancing the value of the text as a teaching and learning tool.

Readership: Students at both undergraduate and postgraduate level following an intermediate or advanced course in mathematics as applied to chemistry, biochemistry, or biophysical chemistry.

Godfrey Beddard, School of Chemistry, University of Leeds, UK.

"It is particularly useful for Scientists applying mathematical techniques to their analyses. However, professionals in other fields (e.g. Economics and Finance) will also find the mathematical techniques highly useful and relevant. I myself am an Economist, and found the mathematical content very good, and the scientific applications very illuminating." - reviewer on Amazon.com

"Very well written and the perfect resource for self study." - The Higher Education Academy Physical Sciences Centre

1: Numbers, equations, operators and algorithms
2: Complex numbers
3: Differentiation
4: Integration
5: Summations, Series and Expansion of Functions
6: Vectors
7: Matrices
8: Matrices in quantum mechanics
9: Fourier series and transforms
10: Differential equations
11: Numerical methods
12: Monte Carlo methods
13: Data analysis
Appendix 1: A Maple Language Crib