Download Constraint Reasoning for Differential Models by J Cruz PDF

By J Cruz

Evaluating the foremost positive aspects of biophysical inadequacy used to be similar with the illustration of differential equations. method dynamics is usually modeled with the expressive energy of the prevailing period constraints framework. it's transparent that an important version was once via differential equations yet there has been no manner of expressing a differential equation as a constraint and combine it in the constraints framework. therefore, the target of this paintings is concentrated at the integration of normal differential equations in the period constraints framework, which for this goal is prolonged with the hot formalism of Constraint delight Differential difficulties. Such framework permits the specification of standard differential equations, including similar info, via constraints, and offers effective propagation options for pruning the domain names in their variables. This enabled the combination of all such info in one constraint whose variables could accordingly be utilized in different constraints of the version. the explicit procedure used for pruning its variable domain names can then be mixed with the pruning equipment linked to the opposite constraints in an total propagation set of rules for lowering the boundaries of all version variables.

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Sample text

1-2) of the basic interval operators but in extended interval arithmetic the result may be the union of two disjunct real intervals. +f). 2-1). +f). Other solution proposed in [111] is based on the observation that the pair of disjoint real intervals is normally only required for intersection with another single interval (see interval Newton method). Thus an additional three-argument operation could be considered representing the common operation (I1/I2)ˆI3, and the result would be the smallest real interval containing it.

The branching step consists on splitting an element A of the lattice into n smaller elements A1,…,An, each representable by an F-box or by the union of several F-boxes. The union of all the smaller elements must be equal to the original element. To simplify the domains representation, most solving strategies impose that the only lattice elements considered in the pruning and branching steps are representable by single F-boxes (as opposed to a union of F-boxes). Pruning corresponds to narrowing the original F-box into a smaller one where the lengths of some F-intervals are decreased by the filtering algorithm (eventually being zeroed, proving the original F-box to be inconsistent).

Moreover, the expressive power of this framework is extended to represent several other conditions of interest that cannot be handled by classical approaches. These include maximum, minimum, time, area, first, and last restrictions. The CSDP framework includes a solving procedure for pruning the domains of its variables. A constraint may be defined as a CSDP and integrated with other constraints, using its solving procedure as a safe narrowing function. This allows, for the first time, the full integration of ODEs and related information within a constraint model.

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