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Probing a Set of Trajectories to Maximize Captured Information, , , , , , и . CoRR, (2020)Finding effective support-tree preconditioners., , , , и . SPAA, стр. 176-185. ACM, (2005)Approximation Algorithms for Edge-Dilation k-Center Problems., , , и . SWAT, том 2368 из Lecture Notes in Computer Science, стр. 210-219. Springer, (2002)Provable Neuromorphic Advantages for Computing Shortest Paths., , , , , , и . SPAA, стр. 497-499. ACM, (2020)Constant-Depth and Subcubic-Size Threshold Circuits for Matrix Multiplication., , , и . SPAA, стр. 67-76. ACM, (2018)Spiking Neural Algorithms for Markov Process Random Walk., , , и . IJCNN, стр. 1-8. IEEE, (2018)Provable Advantages for Graph Algorithms in Spiking Neural Networks., , , , , , и . SPAA, стр. 35-47. ACM, (2021)Erratum to: Linear Time Algorithms for Generalized Edge Dominating Set Problems., и . Algorithmica, 62 (1-2): 633-634 (2012)Neuromorphic scaling advantages for energy-efficient random walk computation., , , , , , , и . CoRR, (2021)Geometric Hitting Set for Segments of Few Orientations, , , , и . Theory Comput. Syst., 62 (2): 268--303 (2018)