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This requires treatment by a boundary value formulation, which raises problems connected with entropy considerations.
Comparison with the numerical results obtained via a boundary value formulation justifies the approaches used here.
We present the necessary optimality conditions of the Impulse Control Maximum Principle based on the current value formulation.
The contribution is a straightforward design method to find simple control laws that comply with these specifications, using the structured singular value formulation.
In a corresponding initial value formulation the same condition separates a subcritical region of locally absolute instability from a supercritical region of locally convective instability.
In Section 4, the system value formulation will be presented and the MMSE filter coefficient calculations will be given.
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A second major approach to achievement motivation rejects the expectancy-value formulation and analyzes instead the attributions that people make about achievement situations.
The approach works with a boundary-value formulation to represent hypothesized orbital states and uses an optimization scheme to find the best fitting orbits.
The boundary-value optimization takes only around 2% of computational time when compared to optimization approaches using an initial-value formulation.
The method is assessed and compared to an initial-value formulation using a measurement set taken by the Zimmerwald Small Aperture Robotic Telescope of the Astronomical Institute at the University of Bern.
This approach consists of a global spacetime evolution algorithm based on a Cauchy initial-value formulation in a bounded interior region and based on characteristic hypersurfaces in the exterior; we match the two schemes at their common interface.
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