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10 Publications

2023 | Conference Paper | IST-REx-ID: 13120 | OA
M. Dvorak and J. Blanchette, “Closure properties of general grammars - formally verified,” in 14th International Conference on Interactive Theorem Proving, Bialystok, Poland, 2023, vol. 268.
[Published Version] View | Files available | DOI | arXiv
 
2022 | Journal Article | IST-REx-ID: 7577 | OA
Y. Shehu and O. S. Iyiola, “Weak convergence for variational inequalities with inertial-type method,” Applicable Analysis, vol. 101, no. 1. Taylor & Francis, pp. 192–216, 2022.
[Submitted Version] View | Files available | DOI | WoS | arXiv
 
2021 | Conference Paper | IST-REx-ID: 10072 | OA
D. G. Harris, F. Iliopoulos, and V. Kolmogorov, “A new notion of commutativity for the algorithmic Lovász Local Lemma,” in Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, Virtual, 2021, vol. 207.
[Published Version] View | Files available | DOI | arXiv
 
2021 | Journal Article | IST-REx-ID: 9234 | OA
C. Izuchukwu and Y. Shehu, “New inertial projection methods for solving multivalued variational inequality problems beyond monotonicity,” Networks and Spatial Economics, vol. 21, no. 2. Springer Nature, pp. 291–323, 2021.
[Published Version] View | Files available | DOI | WoS
 
2020 | Journal Article | IST-REx-ID: 6593 | OA
Y. Shehu, X.-H. Li, and Q.-L. Dong, “An efficient projection-type method for monotone variational inequalities in Hilbert spaces,” Numerical Algorithms, vol. 84. Springer Nature, pp. 365–388, 2020.
[Submitted Version] View | Files available | DOI | WoS
 
2020 | Journal Article | IST-REx-ID: 7161 | OA
Y. Shehu, A. Gibali, and S. Sagratella, “Inertial projection-type methods for solving quasi-variational inequalities in real Hilbert spaces,” Journal of Optimization Theory and Applications, vol. 184. Springer Nature, pp. 877–894, 2020.
[Submitted Version] View | Files available | DOI | WoS
 
2019 | Journal Article | IST-REx-ID: 7000 | OA
Y. Shehu, O. S. Iyiola, X.-H. Li, and Q.-L. Dong, “Convergence analysis of projection method for variational inequalities,” Computational and Applied Mathematics, vol. 38, no. 4. Springer Nature, 2019.
[Published Version] View | DOI | Download Published Version (ext.) | WoS | arXiv
 
2019 | Journal Article | IST-REx-ID: 7412 | OA
D. Achlioptas, F. Iliopoulos, and V. Kolmogorov, “A local lemma for focused stochastical algorithms,” SIAM Journal on Computing, vol. 48, no. 5. SIAM, pp. 1583–1602, 2019.
[Preprint] View | DOI | Download Preprint (ext.) | WoS | arXiv
 
2017 | Conference Paper | IST-REx-ID: 917 | OA
P. Swoboda, J. Kuske, and B. Savchynskyy, “A dual ascent framework for Lagrangean decomposition of combinatorial problems,” presented at the CVPR: Computer Vision and Pattern Recognition, Honolulu, HA, United States, 2017, vol. 2017, pp. 4950–4960.
[Submitted Version] View | Files available | DOI | WoS
 
2016 | Conference Paper | IST-REx-ID: 1231 | OA
J. F. Alwen, B. Chen, C. Kamath Hosdurg, V. Kolmogorov, K. Z. Pietrzak, and S. Tessaro, “On the complexity of scrypt and proofs of space in the parallel random oracle model,” presented at the EUROCRYPT: Theory and Applications of Cryptographic Techniques, Vienna, Austria, 2016, vol. 9666, pp. 358–387.
[Submitted Version] View | DOI | Download Submitted Version (ext.)
 

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