Sentence examples for optimization and analytical from inspiring English sources
In this article a systematic approach integrating Mixed Integer Linear Programming (MILP) optimization and Analytical Hierarchical Process is proposed.
The design problem is approached in three different ways: the finite element analysis-based intuitive design, topology optimization, and analytical design.
The kr curves of each sample were obtained by two different mathematical methods: the history-matching (ant colony optimization) technique and analytical method (JBN).
By this theory, our design problem is equivalently reduced to a discrete-time H∞ optimization, and, an analytical solution is obtained under an assumption on the original analog signals.
Dissociation curve analyses during initial optimization (and all analytical) qPCR assays indicate that these primer sets do not produce any secondary non-specific double stranded DNA products; thus, subsequently measured SYBR-green fluorescence directly represents the number of amplified Amelogenin and mtDNA fragments.
To significantly reduce the optimization and design times, analytical models are used for the fixed-point optimization process.
The problem is a complex one of scheduling and placement, and its optimization presents major theoretical and analytical challenges.
Here we demonstrate that optimization of LC gradient and analytical column construction can reveal over 30,000 unique peptides and 23,000 phosphopeptides at high confidence.
One explanation for the lower fraction of KRAS-mutated samples is the greater sensitivity of our research assay, involving laser capture microdissection, inclusion of a matched germline control and analytical optimization for low cellularity specimen.
Our study proved that experimental design methodology could efficiently be applied for characterization and optimization of analytical parameters affecting drug release and that it is an economical way of obtaining the maximum amount of information in a short period of time and with the fewest number of experiments.
Therefore, the development and optimization of analytical methodologies that allow their identification and quantification are of paramount relevance.
