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Supported Intelligence, LLC
Industrydynamic programming, valuation, decision analytics, Markov decision process
Founded2012
FounderPatrick L. Anderson and Anderson Economic Group, LLC
HeadquartersEast Lansing, Michigan,
United States
Key people
Patrick L. Anderson, Matthew Irey[1][2], Scott Watkins, David Quach
ProductsRapid Recursive™ Toolbox for MATLAB®
Websitewww.supportedintelligence.com

Supported Intelligence is a Michigan-based company that makes valuation, risk assessment and decision support software.[3]

Supported Intelligence’s primary product is the Rapid Recursive™ Toolbox for MATLAB®.[4]

Rapid Recursive™ Toolbox for MATLAB®

The Rapid Recursive™ Toolbox for MATLAB® allows end users to apply techniques from economics and dynamic programming to value elements of a business’ value, such as real options, that are omitted by traditional valuation methods, such as discounted cash flow.

The Rapid Recursive™ Toolbox for MATLAB® also allows end users to analyze risky investment opportunities. For example, it allows users to analyse dynamic asset allocation strategies.[5]

History

Supported Intelligence was founded in 2012 by Patrick L. Anderson and Anderson Economic Group after six years of of research and development by Patrick L. Anderson.[6][7]

Patrick L. Anderson had been writing a book, Economics of Business Valuation, that analyzes traditional valuation methods as well as newer methods that use recursive methods and dynamic programming when he came up with the idea of producing commercial valuation and decision support software.[3].[8]

See also

References

  1. ^ Oil and Gas Financial Journal. "Irey Named President, COO of Supported Intelligence".
  2. ^ Pitch Engine. "Supported Intelligence LLC Announce Matthew T. Irey as President and COO".
  3. ^ a b CBS Detroit. "New Investment Analysis Software From East Lansing Firm".
  4. ^ Supported Intelligence. "Supported Intelligence home page".
  5. ^ Gerd Infanger. "Dynamic Asset Allocation Using Stochastic Programming and Stochastic Dynamic Programming Techniques".
  6. ^ CapitalGains. "Supported Intelligence To Help With Business Decisions, Creates Six Jobs".
  7. ^ Supported Intelligence. "New Software For Assessing Business and Investment Opportunities".
  8. ^ Patrick L. Anderson. "Economics of Business Valuation: Towards a Value Functional Approach".

Further reading

  • P. L. Anderson. Economics of Business Valuation. Stanford University Press, Palo Alto, CA, (forthcoming 2013).
  • R. E. Bellman. Dynamic Programming. Princeton University Press, Princeton, NJ, 1957. Dover paperback edition (2003), ISBN 0-486-42809-5.
  • Ronald A. Howard Dynamic Programming and Markov Processes, The M.I.T. Press, 1960.
  • D. Bertsekas. Dynamic Programming and Optimal Control. Volume 2, Athena, MA, 1995.
  • M. L. Puterman. Markov Decision Processes. Wiley, 1994.
  • H.C. Tijms. A First Course in Stochastic Models. Wiley, 2003.
  • J.A. E. E van Nunen. A set of successive approximation methods for discounted Markovian decision problems. Z. Operations Research, 20:203-208, 1976.
  • S. P. Meyn, 2007. Control Techniques for Complex Networks, Cambridge University Press, 2007. ISBN 978-0-521-88441-9. Appendix contains abridged Meyn & Tweedie.
  • S. M. Ross. 1983. Introduction to stochastic dynamic programming. Academic press
  • M. L. Puterman and Shin M. C. Modified Policy Iteration Algorithms for Discounted Markov Decision Problems, Management Science 24, 1978.