Zero velocity updating
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Among the numerous studies found in the literature, we will give a brief survey about some of the significant studies that uses different types of numerical methods on the driven cavity flow.
In doing so the emphasis will be given on three points; on the numerical method used, on the spatial order of the numerical solution and on the largest Reynolds number achieved.
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In pedestrian navigation systems, the position of a pedestrian is computed using an inertial navigation algorithm.
They have integrated the resulting system of ODEs in time with fourth order Runge-Kutta-Gill (RKG) scheme.
Despite its simple geometry, the driven cavity flow retains a rich fluid flow physics manifested by multiple counter rotating recirculating regions on the corners of the cavity depending on the Reynolds number.Velocity model updating Our proprietary migration algorithms can also measure the quality of the velocity model used in the process.In addition to that, we have an exciting new technology using those measurements to update your velocity model for a next round of RTM or any other depth migration program.Applying repeated Richardson extrapolation using the solutions obtained on different grid mesh sizes (maximum being 180 ×180), they have presented high-order accurate (Nishida & Satofuka  have presented a new higher order method for simulation of the driven cavity flow.They have discretized the spatial derivatives of the N-S equations using a modified differential quadrature (MDQ) method.
The non-linear differential equations are solved by a sequence of Newton and chord iterations.