Results 251 to 260 of about 4,712,450 (295)

Kinematic Analysis of Parallel Manipulators

1999
A method for the kinematic analysis of parallel manipulators, based on Denavit-Hartenberg formalism, is proposed. This formulation allows to model separately each joint-link train (defined as the consecutive structural elements starting from the origin of the reference frame associated with the base, to the origin of the reference frame of the mobile ...
S Negri, G Di Bernardo, I Fassi, L Molinari Tosatti, G Bianchi, C R Boer   +5 more
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PARAFAC: Parallel factor analysis

Computational Statistics & Data Analysis, 1994
We review the method of Parallel Factor Analysis, which simultaneously fits multiple two-way arrays or ‘slices’ of a three-way array in terms of a common set of factors with differing relative weights in each ‘slice’. Mathematically, it is a straightforward generalization of the bilinear model of factor (or component) analysis (xij = ΣRr = 1airbjr) to ...
Harshman, R. A., Lundy, M. E.
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Parallel time-frequency analysis

International Conference on Acoustics, Speech, and Signal Processing, 2003
Conventional time-frequency analysis methods are generally too computationally intensive for real-time implementation. A relatively new method based on a dynamic state-space model is inherently a real-time method and can be implemented in parallel processing.
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Oasis3: Analysis and Parallelization

SSRN Electronic Journal, 2009
This technical report describes the activity of optimization and parallelization of the OASIS3 coupler, used to couple climate models such as the atmospheric model ECHAM5 and the ocean model NEMO.
Italo Epicoco, Silvia Mocavero, Enrico Scoccimarro, Aloisio Giovanni   +3 more
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How Parallel Is Parallel Evolution? A Comparative Analysis in Fishes

The American Naturalist, 2017
Evidence of phenotypic parallelism is often used to infer the deterministic role played by natural selection. However, variation in the extent or direction of divergence is often evident among independent evolutionary replicates, raising the following question: just how parallel, overall, is parallel evolution?
Oke, Krista B., Rolshausen, Gregor, LeBlond, Caroline, Hendry, Andrew P.   +3 more
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Parallel factor analysis of spider fluorophores

Journal of Photochemistry and Photobiology B: Biology, 2008
Fluorophores from the hemolymph of yellow sac spiders (Cheiracanthium mildei) have been characterized using excitation emission matrix (EEM) fluorescence spectroscopy. This approach provides characterization of fluorophores present in the organism without having to isolate pure samples.
Scott M, Reed, My-Trinh, Do, Susan E, Masta   +2 more
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Parallel Data-Flow Analysis of Explicitly Parallel Programs

1999
In terms of program verification data-flow analysis (DFA) is commonly understood as the computation of the strongest postcondition for every program point with respect to a precondition which is assured to be valid at the entry of the program. Here, we consider DFA under the dual weakest precondition view of program verification.
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Interprocedural analysis for parallelization

1996
This paper presents an extensive empirical evaluation of an interprocedural parallelizing compiler, developed as part of the Stanford SUIF compiler system. The system incorporates a comprehensive and integrated collection of analyses, including privatization and reduction recognition for both array and scalar variables, and symbolic analysis of array ...
Mary W. Hall, Brian R. Murphy, Saman P. Amarasinghe, Shih -Wei Liao, Monica S. Lam   +4 more
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Parallel algorithms and static analysis of parallel programs

1987
Within the framework of the metamodel of parallel data processing two sub-classes of models are distinguished supported by original language means. These means allow special marking of processing into subprocesses and to define various interactions between the PA-branches of p-algorithms.
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Parallel Performance Analysis

To effectively harness the computing capabilities of todays and future supercomputing systems, performance analysis and optimization should be a regular activity during scientific software development. Instead of using do-it-yourself solutions usually based on coarse-grained timers (e.g., time per timestep or solver iteration), developers of scientific
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