COMPUTER SOFTWARE STATISTICAL COMPUTING

Brand Owner (click to sort) Address Description
PIVOTALR PIVOTAL SOFTWARE, INC. 875 Howard Street, 5th Fl. San Francisco CA 94103 Computer software for statistical computing; computer software for development of applications for statistical computing;PIVOTAL R;
RADIX RStudio, Inc. 250 Northern Avenue, Suite 420 Boston MA 02210 Computer software for statistical computing using the R computing language; computer software for the development of software applications for statistical computing using the R computing language;
REVOLUTION ANALYTICS REVOLUTION ANALYTICS, INC. 2570 W. El Camino Real, Ste. 222 Mountain View CA 94040 Computer software for statistical computing and analysis and data visualization;Analysis of business data and statistics, namely computational statistics and predictive analytics;ANALYTICS;
RFUSION RStudio, Inc. 250 Northern Avenue, Suite 420 Boston MA 02210 Computer software for statistical computing using the R computing language; computer software for the development of software applications for statistical computing using the R computing language;R FUSION;
RPRO REVOLUTION ANALYTICS, INC. 2570 W. El Camino Real, Ste. 222 Mountain View CA 94040 Computer software for statistical computing that provides a wide variety of graphical and statistical techniques, namely, linear and non-linear modeling, classical statistical tests, time-series analysis, classification, and clustering;
 

Where the owner name is not linked, that owner no longer owns the brand

    
Technical Examples
  1. An intermittent computing system state and intermittent computing module is described for a power-constrained personal computer. In the intermittent computing system state, the power-constrained personal computer may transition between sub-states of the intermittent computing system state according to an intermittent computing schedule. Each intermittent computing sub-state may be associated with hardware power sets and software power sets. Altering power supply to hardware components referenced by hardware power sets may alter power consumed in associated intermittent computing sub-states. A caching mechanism may be configured to make it likely that software components referenced by software power sets are loaded into powered storage types during associated intermittent computing sub-states. In the intermittent computing system state, periods of high functionality may be available over extended periods without the high power consumption associated with a continuous working system state. Average power consumption may be adjusted by varying the intermittent computing schedule.