Results 31 to 40 of about 125,297 (309)
Probabilistic Algorithmic Knowledge [PDF]
The framework of algorithmic knowledge assumes that agents use deterministic knowledge algorithms to compute the facts they explicitly know. We extend the framework to allow for randomized knowledge algorithms.
Joseph Y. Halpern, Riccardo Pucella
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Efficient Asynchronous Semi-Stochastic Block Coordinate Descent Methods for Large-Scale SVD
Eigenvector computation such as Singular Value Decomposition (SVD) is one of the most fundamental problems in machine learning, optimization and numerical linear algebra.
Fanhua Shang +4 more
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Proofs of randomized algorithms in Coq [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Audebaud, Philippe +1 more
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In the vehicle routing problem with simultaneous pickup and delivery (VRPSPD), customers demanding both delivery and pickup operations have to be visited once by a single vehicle.
Napoleão Nepomuceno +2 more
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COARSE REDUCIBILITY AND ALGORITHMIC RANDOMNESS [PDF]
AbstractA coarse description of a set A ⊆ ω is a set D ⊆ ω such that the symmetric difference of A and D has asymptotic density 0. We study the extent to which noncomputable information can be effectively recovered from all coarse descriptions of a given set A, especially when A is effectively random in some sense.
Denis R. Hirschfeldt +3 more
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In this work, we give provable sieving algorithms for the Shortest Vector Problem (SVP) and the Closest Vector Problem (CVP) on lattices in ℓp norm (1≤p≤∞). The running time we obtain is better than existing provable sieving algorithms.
Priyanka Mukhopadhyay
core +1 more source
Randomized Average Kaczmarz Algorithm for Tensor Linear Systems
For solving tensor linear systems under the tensor–tensor t-product, we propose the randomized average Kaczmarz (TRAK) algorithm, the randomized average Kaczmarz algorithm with random sampling (TRAKS), and their Fourier version, which can be effectively ...
Wendi Bao +4 more
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Algorithmic Randomness and Fourier Analysis [PDF]
Suppose $1 < p < \infty$. Carleson's Theorem states that the Fourier series of any function in $L^p[-π, π]$ converges almost everywhere. We show that the Schnorr random points are precisely those that satisfy this theorem for every $f \in L^p[-π, π]$ given natural computability conditions on $f$ and $p$.
Johanna N. Y. Franklin +2 more
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Which Local Search Operator Works Best for the Open-Loop TSP?
The traveling salesman problem (TSP) has been widely studied for the classical closed-loop variant. However, very little attention has been paid to the open-loop variant.
Lahari Sengupta +2 more
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It was conjectured by Fan and Raspaud (1994) that every bridgeless cubic graph contains three perfect matchings such that every edge belongs to at most two of them.
Formanowicz Piotr, Tanaś Krzysztof
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