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Structural approaches typically operate on models described by a set of equations.
Data were analyzed by using the PROC Means and PROC Mixed models described by SAS.
We consider the calibration of parameters in physical models described by partial differential equations.
We present efficient algorithms for collision detection and contact determination between geometric models, described by linear or curved boundaries, undergoing rigid motion.
New methods for nonlinear model reduction of dynamic models, described by nonlinear differential equations have been developed.
We consider two different physical models described by specific partial differential equations (PDEs) for real-life problems.
This class contains models described by an interconnection of known linear dynamic systems and unknown static nonlinearities.
This work is devoted to the numerical approximation of two-fluid flow models described by six balance equations.
A novel method is proposed for constructing redundancy relations on the base of system models described by differential equations whose right-hand side is polynomial.
We try to stabilize equilibrium solutions of physical models described by a class of coupled first-order linear partial differential equations with nonlinear boundary conditions.
We demonstrate its power by showing how the program simplifies difficult fluid models described by coupled nonlinear partial differential equations with several parameters.
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