Results 1 to 10 of about 30,320 (133)

Fast divide-and-conquer algorithms for preemptive scheduling problems with controllable processing times – A polymatroid optimization approach [PDF]

open access: yes, 2008
We consider a variety of preemptive scheduling problems with controllable processing times on a single machine and on identical/uniform parallel machines, where the objective is to minimize the total compression cost.
A. Federgruen   +20 more
core   +1 more source

Computationally efficient induction of classification rules with the PMCRI and J-PMCRI frameworks [PDF]

open access: yes, 2012
In order to gain knowledge from large databases, scalable data mining technologies are needed. Data are captured on a large scale and thus databases are increasing at a fast pace.
Berrar   +29 more
core   +1 more source

Divide-and-conquer sequential matrix diagonalisation for parahermitian matrices [PDF]

open access: yes, 2017
A number of algorithms capable of iteratively calculating a polynomial matrix eigenvalue decomposition (PEVD) have been introduced. The PEVD is a generalisation of the ordinary EVD and will diagonalise a parahermitian matrix via paraunitary operations ...
Corr, Jamie   +4 more
core   +1 more source

Divide-and-conquer algorithms for multiprocessors [PDF]

open access: yes, 1991
During the past decade there has been a tremendous surge in understanding the nature of parallel computation. A number of parallel computers are commercially available.
Mukkavilli, Lakshmankumar
core   +3 more sources

Applications of the complexity space to the General Probabilistic Divide and Conquer Algorithms [PDF]

open access: yes, 2008
Schellekens [M. Schellekens, The Smyth completion: A common foundation for denotational semantics and complexity analysis, in: Proc. MFPS 11, in: Electron. Notes Theor. Comput. Sci., vol. 1, 1995, pp. 535–556], and Romaguera and Schellekens [S. Romaguera,
García-Raffi, L.M.   +2 more
core   +1 more source

Supporting divide-and-conquer algorithms for image processing [PDF]

open access: yes, 1987
Divide-and-conquer is an important algorithm strategy, but it is not widely used in image processing. For higher-level, symbolic operations it should often be the strategy of choice for parallel computers.
Quentin F. Stout, Quentin F. Stout
core   +2 more sources

Singularity analysis, Hadamard products, and tree recurrences [PDF]

open access: yes, 2003
We present a toolbox for extracting asymptotic information on the coefficients of combinatorial generating functions. This toolbox notably includes a treatment of the effect of Hadamard products on singularities in the context of the complex Tauberian ...
Abramowitz   +57 more
core   +3 more sources

Fast Fourier Transforms for the Rook Monoid

open access: yes, 2007
We define the notion of the Fourier transform for the rook monoid (also called the symmetric inverse semigroup) and provide two efficient divide-and-conquer algorithms (fast Fourier transforms, or FFTs) for computing it.
Malandro, Martin, Rockmore, Daniel N.
core   +1 more source

Performance of a Class of Highly-Parallel Divide-and-Conquer Algorithms [PDF]

open access: yes, 1995
A wide range of important problems have efficient methods of solution based on the divide-and-conquer strategy. However, the traditional approach to parallel divide-and-conquer does not scale well due to the sequential component of the algorithms.
Thornley, John
core   +1 more source

Analysing the performance of divide-and-conquer sequential matrix diagonalisation for large broadband sensor arrays [PDF]

open access: yes, 2017
A number of algorithms capable of iteratively calculating a polynomial matrix eigenvalue decomposition (PEVD) have been introduced. The PEVD is an extension of the ordinary EVD to polynomial matrices and will diagonalise a parahermitian matrix using ...
Coutts, Fraser K.   +3 more
core   +1 more source

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