The chapter illustrates a model of mixed linear and parallel processing motoric demands at two levels: sequential processing at the micro level and parallel processing at the macro level. The hierarchical nature
1997). In fact, the authors define a topology over the set ofstochastic processesby using different metrics and prove that both the set of MA processes and that of invertible AR processes are not closed. Indeed, the closure of such two sets is quite large and comprises three kinds of proce...
TRANSITIVE CLOSURE IN PARALLEL ON A LINEAR NETWORK OF PROCESSORS MICHEL GASTALDO Partially supported by the D.R.E.T and the P.R.C. C3 (France). Laboratoire de l'Informatique du, Parallélisme — IMAG, Ecole Normale Superieure de Lyon, 69364 Lyon Cedex 07, FranceMICHEL MORVAN Departement d...
We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with...
expand all C/C++ Code Generation Generate C and C++ code using MATLAB® Coder™. GPU Arrays Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™. Version History Introduced in R2012a See Also fitlm | stepwiselm | CompactLinearModel Topics Linear...
We also use optional cookies for advertising, personalisation of content, usage analysis, and social media. By accepting optional cookies, you consent to the processing of your personal data - including transfers to third parties. Some third parties are outside of the European Economic Area, with...
SIMD ALGORITHMS TO PERFORM LINEAR PREDICTIVE CODING FOR SPEECH PROCESSING APPLICATIONS L. J. Siegel, H. J. Siegel, R. Safranek, M. Yoder, "SIMD algorithms to perform linear predictive coding for speech processing ap- plications," 1980 Int. Conf. Parallel Processing, Aug. 1980, pp. 193-196...
expand all Tall Arrays Calculate with arrays that have more rows than fit in memory. GPU Arrays Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™. Version HistoryIntroduced in R2013b expand all R2024a: Specify penalized likelihood estimation ...
c optimization matlab linear-algebra image-processing linear-equations svd optimization-algorithms convex-optimization image-convolution singular-value-decomposition linear-equation levinson-recursion toeplitz Updated Feb 14, 2025 MATLAB lucylow / Computational_physics Sponsor Star 16 Code Issues Pull requests...
GPU Arrays Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™. Version HistoryIntroduced in R2016a expand all R2024a: Specify GPU arrays (requires Parallel Computing Toolbox) R2022a: loss returns a different value for a model with a nondefault cos...