Randomized and Optimal Algorithms for
In wireless sensor networks, rotating dominating set is an efficient method for balancing the energy consumption of nodes, and thereby extending the network operational time.
Weizhong Luo, Junbin Liang, Tianshu Wang
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A randomized approximate nearest neighbors algorithm [PDF]
We present a randomized algorithm for the approximate nearest neighbor problem in d -dimensional Euclidean space. Given N points { x j } in , the ...
Peter Wilcox, Jones +2 more
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Quantum online algorithms for a model of the request-answer game with a buffer
In this paper, we considered online algorithms as a request-answer game between two players: an adversary that generates input requests and an online algorithm that answers them.
K.R. Khadiev, D.I. Lin
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A Heuristic for Graph Coloring Based on the Ising Model
We propose a dynamic extension of the Petford–Welsh coloring algorithm that estimates the chromatic number of a graph without requiring k as an input.
Omkar Bihani, Janez Žerovnik
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Leveraging randomized compiling for the quantum imaginary-time-evolution algorithm
Recent progress in noisy intermediate-scale quantum (NISQ) hardware shows that quantum devices may be able to tackle complex problems even without error correction.
Jean-Loup Ville +15 more
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Research on Dynamic Data Stream Classification Algorithm with New Class
Aiming at the low performance in detecting new class of classification algorithm on dynamic data stream with new class, a completely randomized forest algorithm based on k-nearest neighbor (KCRForest) is proposed.
WU Weijie, ZHANG Jingxiang
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General Position Subset Selection in Line Arrangements
Given a set of n points in a plane, the General Position Subset Selection problem is that of finding a maximum-size subset of points in general position, i.e., with no three points collinear.
Adrian Dumitrescu
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Successive randomized compression: A randomized algorithm for the compressed MPO-MPS product [PDF]
Tensor networks like matrix product states (MPSs) and matrix product operators (MPOs) are powerful tools for representing exponentially large states and operators, with applications in quantum many-body physics, machine learning, numerical analysis, and ...
Chris Camaño +2 more
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CluM: A Clustering–Cum–Markov model for resource prediction in a data center
High-end data centers are required to process the user requests and provide them with a better quality of service. The prominent issues in building a sustainable data center are reduced carbon footprint, dynamic capacity planning to reduce resource ...
Govindarajan Madhupriya +2 more
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A Distributed Randomized Gradient-Free Algorithm for the Non-Convex Economic Dispatch Problem
In this paper, a distributed randomized gradient-free algorithm (DRGF) is employed to solve the complex non-convex economic dispatch problem whose non-convex constraints include valve-point loading effects, prohibited operating zones, and multiple fuel ...
Jun Xie, Qingyun Yu, Chi Cao
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