Sentence examples for parallelism error from inspiring English sources

The results of the thermo-mechanical analysis were used for the study of the resulting parallelism error of the laser beams with newly developed and more reasonable design criterion.

The parallelism error of the crystals is minimized to less than 6 μrad for the range, by using a precision single axis linear guide, Also, the number of mechanical parts in the vacuum is minimized and 1.8×10−9Torr of vacuum is achieved without baking.

The front and back surfaces of the quartz block were machined to a surface parallelism error of <30 arc sec and polished to an optical flatness of λ/4 (Mindrum Precision).

The reversal techniques are used to calibrate the parallelism errors, arm lengths and zero position of the AACMM.

The experimental specimens were prepared to make parallelism errors of the upper- and lower-end planes of the denture powder platform ≤ 1°, sealed with double-layer plastic wrap, and preserved at -20°C until use [ 10].

It may be asked whether, as a parallelism, GARD error threshold could be related to an assembly size parameter.

Algorithm performance is analyzed theoretically for parallelism and errors, and numerical simulation results are presented to assess the efficiency and effectiveness of DMSR in achieving load balancing.

Parallelism.[11] Errors in parallelism occur when words or groups of words do not appear in the same format or structure within a sentence.

Considering CGRAs over other solutions their advantage can be their adaptability to algorithms with inherent data and instruction level parallelism to complex error correction algorithms.

In this context, this paper aims to bring a complete configuration management solution for multi-processor turbo decoder providing novel solutions allowing for the first time: (1) a run-time evaluation of the number of decoding iterations and the level of sub-block parallelism regarding throughput and bit error rate (BER) requirements and (2) a run-time configuration generation.

This approach does not suffer from approximation errors, reuses the parallelism and data distribution already present in the right-hand side vector computations, and avoids storing or operating on the entire Jacobian matrix.