Results 1 to 10 of about 8,531,267 (380)
Quantum Optimization Problems [PDF]
arXiv, 2002 Krentel [J. Comput. System. Sci., 36, pp.490--509] presented a framework for an NP optimization problem that searches an optimal value among exponentially-many outcomes of polynomial-time computations. This paper expands his framework to a quantum optimization problem using polynomial-time quantum computations and introduces the notion of an ...
C. H. Bennett +14 more
arxiv +4 more sources
Hybrid Solar Forecasting Method Based on Empirical Mode Decomposition and Back Propagation Neural Network [PDF]
E3S Web of Conferences, 2021 In order to improve the accuracy of solar radiation prediction and optimize the energy management system. This study proposes a forecasting model based on empirical mode decomposition (EMD) and Back Propagation Neural Network (BPNN).
Aghmadi Ahmed +4 more
doaj +1 more source
Asymptotic optimality in stochastic optimization [PDF]
The Annals of Statistics, 2021 We study local complexity measures for stochastic convex optimization problems, providing a local minimax theory analogous to that of H jek and Le Cam for classical statistical problems. We give complementary optimality results, developing fully online methods that adaptively achieve optimal convergence guarantees.
Duchi, John C., Ruan, Feng
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Almost simplicial polytopes: the lower and upper bound theorems [PDF]
Discrete Mathematics & Theoretical Computer Science, 2020 this is an extended abstract of the full version. We study n-vertex d-dimensional polytopes with at most one nonsimplex facet with, say, d + s vertices, called almost simplicial polytopes.
Eran Nevo +3 more
doaj +1 more source
On BMRN*-colouring of planar digraphs [PDF]
Discrete Mathematics & Theoretical Computer Science, 2021 In a recent work, Bensmail, Blanc, Cohen, Havet and Rocha, motivated by applications for TDMA scheduling problems, have introduced the notion of BMRN*-colouring of digraphs, which is a type of arc-colouring with particular colouring constraints.
Julien Bensmail, Foivos Fioravantes
doaj +1 more source
Scientific Reports, 2023 We present a comprehensive case study comparing the performance of D-Waves’ quantum-classical hybrid framework, Fujitsu’s quantum-inspired digital annealer, and Gurobi’s state-of-the-art classical solver in solving a transport robot scheduling problem ...
Dominik Leib +7 more
doaj +1 more source
Optimal Configuration of Photovoltaic-wind-storage Microgrid for Agricultural Irrigation in Mountainous Areas [PDF]
E3S Web of Conferences, 2021 Water and electricity supply for irrigation is difficult in remote mountainous areas. This paper explores agricultural irrigation systems’ integration mechanism, pumped storage power plants, and renewable power sources in mountainous areas to solve this ...
Zhang Yangyang +4 more
doaj +1 more source
Clinical Psychology Review, 2010 Optimism is an individual difference variable that reflects the extent to which people hold generalized favorable expectancies for their future. Higher levels of optimism have been related prospectively to better subjective well-being in times of adversity or difficulty (i.e., controlling for previous well-being).
Charles S, Carver +2 more
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On interval number in cycle convexity [PDF]
Discrete Mathematics & Theoretical Computer Science, 2018 Recently, Araujo et al. [Manuscript in preparation, 2017] introduced the notion of Cycle Convexity of graphs. In their seminal work, they studied the graph convexity parameter called hull number for this new graph convexity they proposed, and they ...
Julio Araujo +3 more
doaj +1 more source
Optimally Stopped Optimization [PDF]
Physical Review Applied, 2016 We combine the fields of heuristic optimization and optimal stopping. We propose a strategy for benchmarking randomized optimization algorithms that minimizes the expected total cost for obtaining a good solution with an optimal number of calls to the solver.
Daniel A. Lidar, Walter Vinci
openaire +4 more sources