Mathematical modelling in mining industry
Funding or Partner Organisation: Commonwealth Scientific and Industrial Research Organisation (Commonwealth Scientific & Industrial Research Organisation)
Start year: 2014
Summary: This project focuses on mathematical models and efficient methods for numerical treatment of control problems arising in the decision-making process in the minerals industry.
Publications:
Hinz, J & Yee, J 1970, 'Algorithmic Solutions for Optimal Switching Problems', 2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO), 2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO), IEEE, Beer Sheva, Israel, pp. 586-590.
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Hinz, J & Yee, J 1970, 'Solving Control Problems with Linear State Dynamics - A Practical User Guide', 2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO), 2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO), IEEE, Beer Sheva, Israel, pp. 591-596.
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Hinz, J, Tarnopolskaya, T & Yee, J 1970, 'On the valuation of natural resource investments using optimal stochastic switching', Proceedings - 21st International Congress on Modelling and Simulation, MODSIM 2015, International Congress on Modelling and Simulation, MODELLING & SIMULATION SOC AUSTRALIA & NEW ZEALAND INC, Brisbane, pp. 1070-1076.
Keywords: Optimal Control, Decision-making, Real Options
FOR Codes: Stochastic Analysis and Modelling, Mineral Exploration not elsewhere classified