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Results for dynamic programming

Publications & Outputs

  1. cpop: Detecting changes in piecewise-linear signals

    Grose, D. & Fearnhead, P., 29/05/2024, In: Journal of Statistical Software. 109, 7, p. 1-30 30 p., 7.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  2. gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection

    Runge, V., Hocking, T. D., Romano, G., Afghah, F., Fearnhead, P. & Rigaill, G., 27/03/2023, In: Journal of Statistical Software. 106, 6, p. 1–39 39 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  3. A linear time method for the detection of collective and point anomalies

    Fisch, A. T. M., Eckley, I. A. & Fearnhead, P., 31/08/2022, In: Statistical Analysis and Data Mining. 15, 4, p. 494-508 15 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  4. Performance evaluation of scheduling policies for the Dynamic and Stochastic Resource-Constrained Multi-Project Scheduling Problem

    Satic, U., Jacko, P. & Kirkbride, C., 28/02/2022, In: International Journal of Production Research. 60, 4, p. 1411-1423 13 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  5. Dynamic cash management models

    Zhang, Z., 2022, Lancaster University. 141 p.

    Research output: ThesisDoctoral Thesis

  6. Dynamic Programming Algorithms Applied to Musical Counterpoint in Process Composition: An Example Using Henri Pousseur’s Scambi

    Cochrane, L. J. & Gatherer, D., 30/06/2020, In: Preprints. 12 p.

    Research output: Contribution to Journal/MagazineJournal article

  7. Approximate dynamic programming algorithms for multidimensional flexible production-inventory problems

    Cimen, M. & Kirkbride, C., 04/2017, In: International Journal of Production Research. 55, 7, p. 2034-2050 17 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  8. Benefits of hybrid lateral transshipments in multi-item inventory systems under periodic replenishment

    Glazebrook, K., Paterson, C., Rauscher, S. & Archibald, T., 02/2015, In: Production and Operations Management. 24, 2, p. 311-324 14 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  9. A dynamic programming heuristic for the quadratic knapsack problem

    Djeumou Fomeni, F. & Letchford, A., 02/2014, In: INFORMS Journal on Computing. 26, 1, p. 173-182 10 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

  10. Finding least fuel emission paths in a network with time-varying speeds

    Qian, J. & Eglese, R., 01/2014, In: Networks. 63, 1, p. 96-106 11 p.

    Research output: Contribution to Journal/MagazineJournal articlepeer-review

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