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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
5: Summations, Series and Expansion of Functions
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