thrust::max_element: Returns the largest from a sequence. • thrust::is_sorted: Returns true if the sequence is sorted. • thrust::inner_product: Calculates the inner product of two vectors. In its generic
1577.Number-of-Ways-Where-Square-of-Number-Is-Equal-to-Product-of-Two-Numbers (H-) 1775.Equal-Sum-Arrays-With-Minimum-Number-of-Operations (M+) 1868.Product-of-Two-Run-Length-Encoded-Arrays (M+) 2098.Subsequence-of-Size-K-With-the-Largest-Even-Sum (M+) Binary Search 004.Median-of-...
We propose a quantum inverse iteration algorithm, which can be used to estimate ground state properties of a programmable quantum device. The method relies on the inverse power iteration technique, where the sequential application of the Hamiltonian inve
As our second contribution, we add a real-valued parameterβto our pruning algorithm that extends the flexibility of our approach and allows to control the quality of pruning. Specifically, when deciding whether a route shall be pruned, we compare the route distance between two locations to the ...
Even for the largest triangulation in our investigation, consisting of 23 million triangles, the algorithm converged to a manifold surface in under 10 min. 5. Applications and variants 5.1. Fluid volume extraction Fluid volume extraction is yet another excellent application of our shrink wrapping ...
This is arguably the largest and most popular group of machine learning algorithms. And no wonder: supervised learning is flexible, comprehensive, and covers a lot of the common ML tasks that are in high demand today. In opposition to unsupervised learning, supervised algorithms require labeled dat...
For this reason we need to find a heuristic that allows us to reach a “good” partition of [Math Processing Error]X, i.e. a partition [Math Processing Error]P with high values of [Math Processing Error]τXkP for all modes k. With this aim, we propose a stochastic local search ...
The adjacent_find algorithm is a nonmutating sequence algorithm. The range to be searched must be valid. All pointers must be dereferenceable, and the last position must be reachable from the first by incrementation. The time complexity of the algorithm is linear in the number of elements conta...
2018, 7, 18 2 of 23 The largest difference between the graph optimization method and the Bayes filtering method is that the former makes no Markov assumption and directly maintains the previous statuses [15]. The solution obtained with the graph optimization method is the optimal result under a...
The adjacent_find algorithm is a nonmutating sequence algorithm. The range to be searched must be valid. All pointers must be dereferenceable, and the last position must be reachable from the first by incrementation. The time complexity of the algorithm is linear in the number of elements ...