Your English writing platform
Discover LudwigExact(3)
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.
The game-theoretical solutions attempt to find equilibria, where each player of the game adopts a strategy that they are unlikely to change.
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).
Similar(57)
Finding equilibria for even slightly more complex games can be enormously difficult.
Finding equilibria generally requires comparing all possible strategies against each other.
We found equilibria when p1* = 0 and when: The first equilibrium represents a situation where male sterile individuals are absent from the population.
This allows us to find Nash equilibria in sequential games.
That was a pretty simple game to analyze, pretty easy to find the equilibria.
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).
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.
Write better and faster with AI suggestions while staying true to your unique style.
Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com