This is achieved by reducing the invariant generation problem to a constraint solving problem using methods from the theory of ideals over polynomial rings. We extend our previous work on the generation of algebraic invariants for discrete transition systems in order to generate algebraic invariants ...
Constructing a course schedule by solving a series of assignment type problems A. Hertz and V. Robert. Constructing a Course Schedule by Solving a Series of Assignment Type Problems. European Journal of Operational Research 1998; ... A Hertz,V Robert - 《European Journal of Operational Research...
A supertree for the original profile is obtained by solving each of these supertree problems independently and combining the answers. This approach allows us to tackle supertree problems that are well beyond the limits of the basic ILP method. Thus, whereas the latter allowed us to solve ...
[8,9,25,41]isconstructivewhencombinedwithNewton’sMethodforsolvingnonlinearequations. CombinatorialdescriptionsofhyperbolicpolyhedrathatarerelevanttoAndreev’sTheoremfallinto threeclasses,simple,truncated,andcompound,alldefinedlaterinthissection.Theproofin[25,41] providesanexplicitcontinuouspathinthespaceofpolyhedr...
Time dependent neural network models for detecting changes of state in complex processes: Applications in earth sciences and astronomy. Neural Netw. 2006, 19, 196–207. [Google Scholar] [CrossRef] Carleo, G.; Troyer, M. Solving the quantum many-body problem with artificial neural networks. ...
Solving the existence problem in the general case will allow us to accurately describe the conditions on the operator kernels (the memory functions), under which equations for models of economic growth with memory have solutions. The asymptotic behavior of these solutions allows us to describe the ...
(and especially when) your therapy is not treating the trauma itself, but solving problems or building skills or meeting needs related to it. However, there are so many ways behavior analysts violate this number one rule. We might do it unintentionally, such as when we go right to changing...
h pro jects ha v e demonstrated the utilit y of constrain ts in building in teractiv e graphical applications. Some applications of constrain ts in user in terface soft w are are main taining consistency b et w een application data and views of that data on the screen, main taining ...
Under constraints of fixed points, limit cycles of iteration sequences, the method simultaneously acquires both the topology and weights for Hopfield neural networks by solving inequalities. Experimental results demonstrated clearly the effectiveness of the method.SHAOBAI ZHANG...
It is obtained by solving the system of linear inequalities expressing the positivity condition. In this way one gets explicit expressions for all amplitudes satisfying the ACU requirements to some approximation. The rigorous constraints obtained from these ACU requirements are used to test the accuracy...