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It should be pointed out that, if the considered utility functions were others, a different situation might be reached at the end of the SPI adjustment process.
The considered utility costs are the prices of amine solvent(s), electricity, process water, cooling water, and low pressure saturated steam.
In this paper, we prove the solvability of some infinitely split Nash equilibrium problems for repeated games by applying a fixed point theorem on posets, in which the considered utility functions are not required to have any continuity conditions.
Prove the existence of infinitely split Nash equilibrium for repeated games by applying fixed point theorems on topological vector spaces, in which the considered utility functions may be required to satisfy some continuity conditions.
To conclude this paper, we list the following problems below for consideration: 1. Prove the existence of infinitely split Nash equilibrium for repeated games by applying fixed point theorems on topological vector spaces, in which the considered utility functions may be required to satisfy some continuity conditions.
The consumer's experience of self-customizing a product with a sales configurator can be a source of experience-related benefits for the consumer, above and beyond the traditionally considered utility of possessing a product that better fits his/her idiosyncratic needs.
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The conjoint approach allows for a simulation of the forecasting process and considers utility trade-offs.
To escape from the "throughput-fairness" dilemma, we can consider "utility" for packet scheduling.
As a result, this approach may be used for the design of resource allocation protocols, e.g., by considering utility maximization problems with concave utility functions.
Among them, we only consider utility patents, which are those that pertain to new and useful inventions, omitting design and plant patents for instance [28].
Considering utility functions for individual users in a network, we formulated an optimal resource allocation problem, which simplifies the MIMO resource allocation problem into a SISO resource allocation problem.
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