discipline of mathematics
- Approximation theory: Sometimes it is not possible to get an exact solution to a problem, because this might take too long, or it may not be possible at all. Approximation theory looks at ways to get a solution which is close to the exact one, and which can be obtained faster.
- Numerical analysis and simulation: This field investigates various algorithms to get approximations for mathematical problems. The study of numerical linear algebra and validated numerics are also included in this field.
- Probability and Statistics: How likely is it that something will happen? - If a coin is flipped 100 times, and lands heads up 53 times, is this coin good for games of chance, or should another one be taken?
- Optimization is about finding better solutions to problems.
- In ecology certain things are known about populations of animals or plants. This is usually called Population model. Biologists use them to tell how a population changes over time.
- Trefethen, L. N. (2019). Approximation theory and approximation practice. SIAM.
- Stoer, J., & Bulirsch, R. (2013). Introduction to numerical analysis. Springer Science & Business Media.
- Conte, S. D., & De Boor, C. (2017). Elementary numerical analysis: an algorithmic approach. Society for Industrial and Applied Mathematics.
- Greenspan, D. (2018). Numerical Analysis. CRC Press.
- Linz, P. (2019). Theoretical numerical analysis. Courier Dover Publications.
- Demmel, J. W. (1997). Applied numerical linear algebra. SIAM.
- Ciarlet, P. G., Miara, B., & Thomas, J. M. (1989). Introduction to numerical linear algebra and optimization. Cambridge University Press.
- Trefethen, Lloyd; Bau III, David (1997). Numerical Linear Algebra (1st ed.). Philadelphia: SIAM.
- Tucker, Warwick (2011). Validated Numerics: A Short Introduction to Rigorous Computations. Princeton University Press.
- Rump, S. M. (2010). Verification methods: Rigorous results using floating-point arithmetic. Acta Numerica, 19, 287-449.
- DeGroot, M. H., & Schervish, M. J. (2012). Probability and statistics. Pearson Education.
- Johnson, R. A., Miller, I., & Freund, J. E. (2000). Probability and statistics for engineers (Vol. 2000, p. 642p). London: Pearson Education.
- Walpole, R. E., Myers, R. H., Myers, S. L., & Ye, K. (1993). Probability and statistics for engineers and scientists (Vol. 5). New York: Macmillan.
- Intriligator, M. D. (2002). Mathematical optimization and economic theory. Society for Industrial and Applied Mathematics.
- Society for Industrial and Applied Mathematics (SIAM)
- International Association for Mathematics and Computers in Simulation (IMACS)
- International Congress on Industrial and Applied Mathematics
- Japan Society for Industrial and Applied Mathematics (JSIAM, Japanese counterpart of SIAM)
- Japan Society for Simulation Technology (JSST, Japanese counterpart of IMACS)
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- Media related to Applied mathematics at Wikimedia Commons
- The Society for Industrial and Applied Mathematics (SIAM) is a professional society for promoting the interaction between mathematics and other scientific and technical communities. With organizing and sponsoring many conferences, SIAM is a major publisher of research journals and textbooks in applied mathematics.
- The Applicable Mathematics Research Group at Notre Dame University
- Centre for Applicable Mathematics at Liverpool Hope University
- Applicable Mathematics research group at Glasgow Caledonian University