Items where Author is "Kocuk, Burak"

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Number of items: 7.


Davarnia, Danial and Kocuk, Burak and Cornuéjols, Gerard (2020) Computational aspects of Bayesian solution estimators in stochastic optimization. INFORMS Journal on Optimization, 2 (4). pp. 256-272. ISSN 2575-1484 (Print) 2575-1492 (Online)

Dey, Santanu S. and Kocuk, Burak and Santana, Asteroide (2020) Convexifications of rank-one-based substructures in QCQPs and applications to the pooling problem. Journal of Global Optimization, 77 (2). pp. 227-272. ISSN 0925-5001 (Print) 1573-2916 (Online)

Kocuk, Burak and Moran, Diego A. (2019) On subadditive duality for conic mixed-integer programs. SIAM Journal on Optimization, 29 (3). pp. 2320-2336. ISSN 1052-6234 (Print) 1095-7189 (Online)

Kocuk, Burak and Dey, Santanu S. and Andy, X. Sun (2018) Matrix minor reformulation and SOCP-based spatial branch-and-cut method for the AC optimal power flow problem. Mathematical Programming Computation, 10 (4). pp. 557-596. ISSN 1867-2949 (Print) 1867-2957 (Online)

Kocuk, Burak and Cornuejols, Gerard (2018) Incorporating black-litterman views in portfolio construction when stock returns are a mixture of normals. Omega - International Journal of Management Science . ISSN 0305-0483 Published Online First

Kocuk, Burak and Dey, Santanu S. and Sun, X. Andy (2016) New formulation and strong MISOCP relaxations for AC optimal transmission switching problem. (Accepted/In Press)

Book Section / Chapter

Kocuk, Burak and Van Hoeve, Willem-Jan (2019) A computational comparison of optimization methods for the Golomb ruler problem. In: Rousseau, Louis-Martin and Stergiou, Kostas, (eds.) Integration of Constraint Programming, Artificial Intelligence, and Operations Research: 16th International Conference, CPAIOR 2019, Thessaloniki, Greece, June 4–7, 2019, Proceedings. Lecture Notes in Computer Science, 11494. Springer International Publishing, Cham, Switzerland, pp. 409-425. ISBN 978-3-030-19211-2 (Print) 978-3-030-19212-9 (Online)

This list was generated on Sun Jun 26 05:12:12 2022 +03.