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In the last section, we apply the algorithm for the Nash-Cournot oligopolistic market equilibrium model.
Applications to the Nash-Cournot oligopolistic market equilibrium model and the numerical results are reported in the last section.
As an example for equilibrium problems EP ( f, C ), we consider the Cournot-Nash oligopolistic market equilibrium model (see [21, 25, 26]).
Considering that the stability model of energy flow is similar to the common market equilibrium model, we propose the measurement of energy entropy and global stability based on the Nash equilibrium game.
The electricity market equilibrium model not only helps independent system operator (ISO) analyze market performance and market power, but also provides market participants the ability to build optimal bidding strategies based on microeconomics analysis.
To illustrate our algorithm, we consider two academic numerical tests of the bifunction f in R 5. Example 4.1 We consider an application of Cournot-Nash oligopolistic market equilibrium model taken from [17].
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Finally, we present some preliminary computational results to Cournot-Nash oligopolistic market equilibrium models.
More recent is the third approach that combines bottom-up and top-down through the characteristics of market equilibrium models, called mixed complementary problems (MCP) [32, 76].
The most commonly used models are market equilibrium models, containing equations that represent the responses of buyers and suppliers to changes in prices.
Market equilibrium models can be further classified as partial or general equilibrium models, depending on whether they attempt to depict a single sector of the economy or the economy as a whole.
Depending on assumptions made about the flexibility of production factors (e.g. land, labour and capital), market equilibrium models can be classified as short-term, medium-term or long-term.
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