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Eventually, the DQM is implemented to discretize the governing equations in both spatial and time domains.
The GDQR techniques are first applied to both spatial and time dimensions simultaneously as a whole.
Due to the use of the fundamental solution as basis functions, the method leads to a global approximation scheme in both spatial and time domains.
In the first solution method, differential quadrature method (DQM) is implemented to discretize the resulting equations in the both spatial and time domains.
Numerical solutions obtained with the computer program which accompanies this development have been found to be stable and in agreement for a wide range of practical values of both spatial and time increments for typical shells and loadings.
It was recently demonstrated that time-dependent PDE problems can numerically be solved with a fully pseudospectral scheme, i.e. using spectral expansions with respect to both spatial and time directions [15].
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The conventional Köppen and Thornthwaite climatic classifications are cumbersome in both spatial and time-series analysis.
The consistency of these studies, conducted in a range of different populations and using both spatial and time-series study designs, is remarkable.
In response to price dispersion across stores and price promotions over time, consumers search across both stores (spatial) and time (temporal), in many retail settings.
Novel methods that may improve both the spatial and time resolution of functional MRI are being studied using markers, such as temperature, pH, calcium-sensitivity [11].
The results in this paper show that the tool is able to efficiently and automatically generate all required memory management modules for both spatial and temporal real-time video processing systems.
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