Skip to main content

Mathematical modelling in mining industry

Project Member(s): Hinz, J.

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 2016, 'Algorithmic Solutions for Optimal Switching Problems', IEEE CPS, 2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO), IEEE, Beer Sheva, Israel, pp. 586-590.
View/Download from: UTS OPUS or Publisher's site

Hinz, J & Yee, J. 2016, 'Solving Control Problems with Linear State Dynamics - A Practical User Guide', In Proceedings of the Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO’16),, 2016 Second International Symposium on Stochastic Models in Reliability Engineering, Life Science and Operations Management (SMRLO), IEEE CPS, Beer Sheva, Israel, pp. 591-596.
View/Download from: UTS OPUS or Publisher's site

Hinz, J, Yee, J & Tarnopolskaya, T 2015, 'On the valuation of natural resource investments using optimal stochastic switching', 21st International Congress on Modelling and Simulation, 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