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The attractiveness of sliding mode control for the analysis of biomechanical control systems arises from the equivalent control principle.
The motivation for considering [ r ] -matrix differential systems arises from the demand for a level of generality sufficient to deal with the increasingly important matrix linear systems of control theory such as those associated with matrix Riccati differential equations and matrix bilinear control systems [24, 31 35].
The complexity of biological systems arises from the highly interactive relationships of their components [1], [2].
The complexity of biological systems arises from the highly parallel and epistatic relationships between their components.
Most of the N2O that is emitted from UK agricultural systems arises from the application of synthetic fertiliser to arable soils (Economics Group, Defra, 2011).
Most of the water flux in these systems arises from tidal exchange (freshwater input only provided via rainfall and aquifer percolation), so salinities in unfragmented systems are typically around 35 ppt and the biotic communities comprise marine taxa (Layman et al. 2004; Valentine-Rose et al. 2007a, b).
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Furthermore, social systems arise from double contingency.
These methods have been developed mainly for linear systems arising from elliptic and parabolic PDEs.
We present a fast direct algorithm for solutions to linear systems arising from 2D elliptic equations.
Finally, it solves the nonlinear systems arising from the Bratu problem by the four preconditioning algorithms.
Finally, it solves the nonlinear systems arising from the Bratu problem.
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