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The paper summarizes the quantity assessment of GPU processing and supporting CUDA technology on the efficiency of BLENDER rendering program.fatcat:k65vo2bqhbdvbd2vs6sffbttxi
Proceedings of the 2nd International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP 2017)
The classic design of experiments (DoE) typically uses the least-square method for a model identification and requires associated assumption about the normality of a noise factor. It is very convenience because it leads to a relative simple computations and well-known asymptotic statistics based on the normality assumption. However, if that assumption is not satisfied it may fail and obtained results may differ radically from the verification tests. The rationale for the caution may be thedoi:10.7712/120217.5395.17225 fatcat:5bhezcc7jnhtrimid45mnwreme