| Author/Title |
Research Type |
Related Fields |
| Maass, K., Aravkin, A., & Kim, M. (2021). A feasibility study of a hyperparameter tuning approach to automated inverse planning in radiotherapy. arXiv preprint arXiv: arXiv:2105.07024. |
Publications, Articles |
Applied Mathematics, Cancer Modeling, Machine Learning, Optimization and Variational Analysis |
| Maass, K., Kim, M., & Aravkin, A. (2020). A nonconvex optimization approach to IMRT planning with dose-volume constraints. arXiv preprint arXiv:1907.10712. |
Publications, Articles |
Applied Mathematics, Cancer Modeling, Inverse Problems, Optimization and Variational Analysis |
| Maass, K., & Kim, M. (2019). A Markov decision process approach to optimizing cancer therapy using multiple modalities. Mathematical Medicine and Biology: A Journal of the IMA. doi:10.1093/imammb/dqz004. |
Publications, Articles |
Applied Mathematics, Cancer Modeling, Optimization and Variational Analysis |
| Tim Leung and Marco Santoli (2016). Leveraged Exchange-Traded Funds: Price Dynamics and Options Valuation, Springer Briefs in Quantitative Finance, Springer, New York. |
Publications, Books |
Data Science, Financial Mathematics, Optimization and Variational Analysis, Probability, Statistics, Stochastic Modeling |
| Tim Leung and Xin Li. (2016). Optimal Mean Reversion Trading: Mathematical Analysis and Practical Applications. (1st ed.) Singapore, World Scientific Publishing Company. |
Publications, Books |
Financial Mathematics, Optimization and Variational Analysis, Probability, Risk Management, Stochastic Modeling |
