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Considering this method to design the columns of 9 story frames in PBPD method, the results show that (as seen in Fig. 10) by reducing the dimensional of column sections, all the performance objectives are fulfilled, meaning that no plastic hinges form in the columns during the severe ground motions.
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By reducing the high dimensional model to the minimal plausible scenario, we were able to obtain a single algebraic expression that characterizes the fixed points of these dynamics.
Cussler has proposed perhaps the most sophisticated model by reducing the three-dimensional diffusion problem to an essentially one-dimensional problem through a series of approximations.
We obtain our classification results by reducing the case of general one-dimensional spaces to the case of circles.
First, by reducing the search space from a high-dimensional space to a low-dimensional space, the efficiency of any learning algorithm will be dramatically improved [17].
Inducing dimensional constraints by reducing the size of one or more dimensions has produced emergent phenomena in a range of materials such as graphene [6, 7], single layer dichalcogenides [8], and other two-dimensional systems [9].
Principal Component Analysis (PCA) abridges the task of identifying sources of relative variability in a high dimensional data set by reducing the dimensions, and therefore the complexity, of the data set.
This local Kronecker delta property is an inherent property of the one-dimensional MLS shape functions and can be obtained for the two-dimensional MLS shape functions by reducing the influence domain of each boundary node to weaken the influence between them.
Crane [5] in 1970 was first to study the hydrodynamics of a steady stretching of a flat elastic sheet in a two-dimensional boundary layer flow by reducing the steady Navier-Stokes equations to a nonlinear ordinary differential equations by means of a similarity transformation.
Nonnative interactions are proved experimentally to play an important role in the encounter process and increase the binding rate by reducing the phase space by non-specific binding followed by a two-dimensional diffusion [24] [26].
He began by reducing the work force.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com