Sentence examples for simple precision from inspiring English sources

Paper: "Simple Precision Creation of Digitally Specified, Spatially Heterogeneous, Engineered Tissue Architectures" ARCHIVE: "Robots that reveal the inner workings of brain cells".

It has support for floating point operations, such as addition, subtraction, and multiplication, and is based on the IEEE 754-2008 standard with 32-bit simple precision.

The results show that: (1) simple precision floating point arithmetic is sufficient for LBM computation in comparison to double precision; (2) the implementation of LBM on GPUs allows us to achieve up to about one billion lattice update per second using single precision floating point; (3) GPUs provide an inexpensive alternative to large clusters for fluid dynamics prediction.

GPUs are able to achieve up to three TFLOPS working in simple precision mode and up to 190 GB/s in memory transfer rate.

The metric modifies simple precision since machine translation systems have been known to generate more words than are in a reference text.

To find the mean, add up all of the measurements you took and then divide it by the number of measurements.If, while weighing yourself, you recorded the weights: 12cm, 11cm, 14cm, 13cm, and 12cm, your mean would be: Use "standard range" for a simple precision calculation.

In a holistic perspective, a deeper knowledge of human osteology combined with advances in materials functionalization via simple precision-chemistry is envisioned to incite the manufacture of stimuli-triggered nanomedicines with more realistic potential for clinical translation.

With simple, beautiful precision, his question sums up his credo: the novelists he most admires, Austen and Woolf, James and Bellow among them, bravely launch themselves into deep waters, relying on the momentary inventiveness of language to animate the worlds they are inventing.

The modern Lincoln aims to deliver simple dynamic precision with a relaxed ambiance.

Since, theoretical performance is not always reachable we also show the relative practical performance as computed with a simple single precision N-body kernel that is designed for shared-time steps, similar to the N-body example in the CUDA SDK (Nyland et al. 2007).

Quantification in radiology starts with simple anatomical precision, and the well-known Response Evaluation Criteria In Solid Tumours criteria [2] used for assessment of treatment response in cancer are based on the premise that measurement of size can be made reproducibly over time, even if the patient is not scanned by the same machine functioning on the same software level.