نتایج جستجو برای: complex interval doolittle decomposition method
تعداد نتایج: 2539950 فیلتر نتایج به سال:
Since 2001, Laplace decomposition algorithm (LDA) has been one of the reliable mathematical methods for obtaining exact or numerical approximation solutions for a wide range of nonlinear problems. The Laplace decomposition algorithm was developed by Khuri in [2] to solve a class of nonlinear differential equations. The basic idea in Laplace decomposition algorithm, which is a combined form of t...
A time series often contains various systematic effects such as trends and seasonality. These different components can be determined and separated by decomposition methods. In this thesis, we discuss time series decomposition process using nonparametric regression. A method based on both loess and harmonic regression is suggested and an optimal model selection method is discussed. We then compa...
Phylogenomic Perspective The Archaeal Legacy of Eukaryotes: A Lionel Guy, Jimmy H. Saw and Thijs J.G. Ettema Splicing Origin of Spliceosomal Introns and Alternative Manuel Irimia and Scott William Roy How Natural a Kind Is ''Eukaryote?'' W. Ford Doolittle Eukaryotic Epigenetics and Geochemistry on the Provenance of Imprints of Bacterial Biochemical Diversification Protein and DNA Modifications:...
Increasing the molecular accumulation and density of high-energy substances have a determinative role in improving the performance and intensity of energy release. Therefore, it is possible to increase the density of high-energy materials if the high-energy molecules can be arranged around a metal core as coordinated molecules. The aim of this project was to synthesize energetic complexes of cy...
In this paper, complex arithmetic in polar form, briefly sectors is discussed. The fact that the family of not closed under addition and subtraction gives rise to need an optimized approximation. Precisely, problem discussed, determine smallest possible sector contains sum two sectors. An efficient algorithm solving introduced compared with existing algorithms literature. are implemented MATLAB...
A number of practical engineering problems require the repeated simulation of unsteady fluid flows. These problems include the control, optimization and uncertainty quantification of fluid systems. To make many of these problems tractable, reduced-order modeling has been used to minimize the simulation requirements. For nonlinear, time-dependent problems, such as the Navier-Stokes equations, re...
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