Results 61 to 70 of about 23,208,688 (165)
Exact algorithms for the matrix bid auction. [PDF]
In a combinatorial auction, multiple items are for sale simultaneously to a set of buyers. These buyers are allowed to place bids on subsets of the available items.
Goossens, Dries, Spieksma, Frederik
core
, 2022 Under appropriate technical assumptions, the simple-loop theory allows to derive various types of asymptotic expansions for the eigenvalues of Toeplitz matrices generated by a function f.
Bogoya, Manuel +2 more
core +1 more source
Data-Flow Algorithms for Parallel Matrix Computations
, 1985 In this article the authors develop some algorithms and tools for solving matrix problems on parallel processing computers. Operations are synchronized through data-flow alone, which makes global synchronization unnecessary and enables the algorithms to ...
Dianne P. O’Leary +3 more
core
Towards large scale continuous EDA: a random matrix theory perspective [PDF]
, 2013 Estimation of distribution algorithms (EDA) are a major branch of evolutionary algorithms (EA) with some unique advantages in principle. They are able to take advantage of correlation structure to drive the search more efficiently, and they are able to ...
Kabán, Ata +5 more
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More Numerically Accurate Algorithm for Stiff Matrix Exponential
MathematicsIn this paper, we propose a novel, highly accurate numerical algorithm for matrix exponentials (MEs). The algorithm is based on approximating Putzer’s algorithm by analytically solving the ordinary differential equation (ODE)-based coefficients and ...
Teddy Lazebnik +1 more
doaj +1 more source
Adaptive Bat Algorithm Optimization Strategy for Observation Matrix
Applied Sciences, 2019 Bat algorithm, as an optimization strategy of the observation matrix, has been widely used. Observation matrix has a direct impact on the reconstructed signal accuracy as a projection transformation matrix, and it has been widely used in various ...
Zhihua Cui +3 more
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Practical Sketching Algorithms For Low-Rank Matrix Approximation [PDF]
, 2017 This paper describes a suite of algorithms for constructing low-rank approximations of an input matrix from a random linear image, or sketch, of the matrix.
Udell, Madeleine +3 more
core +1 more source
工程科学与技术, 2021 In order to solve the problem of low computational efficiency of adaptive beamforming algorithms in ultrasonic imaging, an adaptive beamforming algorithm for ultrasonic array with the combination of spatial sampling and coherence factor was proposed. The
Shoupeng SONG, Qi LI
doaj
A quantum algorithm for linear autonomous differential equations via Padé approximation [PDF]
QuantumWe propose a novel quantum algorithm for solving linear autonomous ordinary differential equations (ODEs) using the Padé approximation. For linear autonomous ODEs, the discretized solution can be represented by a product of matrix exponentials.
Dekuan Dong, Yingzhou Li, Jungong Xue
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Efficient Processing of Skyline Group Queries over a Data Stream
Tsinghua Science and Technology, 2016 In this paper, we study the skyline group problem over a data stream. An object can dominate another object if it is not worse than the other object on all attributes and is better than the other object on at least one attribute.
Xi Guo +4 more
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