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Clearing the clouds away from the true potential and obstacles posed by this computing capability.

In this paper we are concerned with the practical issues of working with data sets common to finance, statistics, and other related fields. pandas is a new library which aims to facilitate working with these data sets an...

From the Publisher: This is the revised and greatly expanded Second Edition of the hugely popular Numerical Recipes: The Art of Scientific Computing. The product of a unique collaboration among four leading scientists in...

Abstract: SciPy is an open-source scientific computing library for the Python programming language. Since its initial release in 2001, SciPy has become a de facto standard for leveraging scientific algorithms in Python, ...

In the Python world, NumPy arrays are the standard representation for numerical data and enable efficient implementation of numerical computations in a high-level language. As this effort shows, NumPy performance can be ...

We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.g., 10-150 MFLOPs). The new architecture utilizes two...

Materias / palabras clave: Workflow; Cloud computing; Transparency (behavior); Computer science; Big data; Productivity; Data science; Deep learning; Artificial intelligence; Process (computing); Precision medicine; Risk analysis (engineering)

Materias / palabras clave: Asynchronous communication; Computer science; Construct (python library); Task (project management); Event (particle physics); Node (physics); Parallel computing; Exploit; Execution model; Programming paradigm; Programmi...

Previous article Next article An Algorithm for Least-Squares Estimation of Nonlinear ParametersDonald W. MarquardtDonald W. Marquardthttps://doi.org/10.1137/0111030PDFPDF PLUSBibTexSections ToolsAdd to favoritesExport Ci...