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We found equilibria when p1* = 0 and when: The first equilibrium represents a situation where male sterile individuals are absent from the population.
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The game-theoretical solutions attempt to find equilibria, where each player of the game adopts a strategy that they are unlikely to change.
We then apply our algorithm to find equilibria in an important and previously unsolved game: simultaneous sealed-bid, second-price auctions where various types of items (e.g., substitutes or complements) are sold.
We have chosen to find equilibria via numerical solutions, in order to be able to compare the results to those of the spatial model (see below).
In 2011, Eckalbar et al. [39] adopted a quadratic treatment function T(I =maxbigl{ beta I-gI^{2}, 0bigr},quad beta, g>0 into the (SIR) epidemic model and found four equilibria at most.
We want to find axisymmetric equilibria and therefore always assume that (rho(x)=rho r,x_{3})).
We can use these centers of rotation to rotate each node/foci in order to find other equilibria.
It is worth noting that in order to find the equilibria, Sequential and Nash stability are considered.
The static analysis finds multiple equilibria when the distance of the two point supports is smaller than a certain value.
So it is not surprising to find solutions (equilibria or periodic solutions) in Fix , since those fusion solutions cannot be gotten rid of by perturbation.
This procedure is based on the coupling of a PARSEC parameterization for airfoil shape and a genetic algorithms (GA) optimization method to find Nash equilibria (NE).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com