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The Mathematical Model
Of Electronic Games
Summary
his paper,we try ouThis paper is aimed at a electronic game rules and strategies, this paper analyzes all kinds of brand type eventualities, calculate different situations can get expectations bonus amount problem. Again to question the strategy to carry on the reasonable evaluation, according to the reasonable inference and strategy again by probability calculation for the corresponding solution, optimal model. But after calculation, we obtain the final conclusion: no matter what the players strategy, expectation E 1 was constant, so similar for probability gambling variants against right teams in the game players always suffer.
The problem a: according to the players strategy, divides two kind of situation analysis, in brand and dont change the brand. When dont change card, calculation to royal flush, straight flush, four zhang similarities, the probability of winning and very low. Then calculated separately in brand after many MEDALS corresponding type of probability, such as table diagram (1) (2), then according to the total probability chart (3) calculation corresponding expected E== 0.9949. At the same time, the use of matlab graphing cake block as the chart chart (4), make its probability than clear.
To the question 2: through the calculation, and some of the above the players total expectations E = 0.9949 1, so players average 0.0051 yuan at a loss. But the players strategy also has a certain optimization sex, through the calculation of the CARDS in the expected E = 0.9949 than in card before the expected E1 = 0.9332 0.0617. But at the same time we analyze this strategy there are some shortage, because that expected E = 0.9949, that is to say, the player every bet a will loss 0.0051 yuan. So we have 0.0051 yuan development space, make as far as possible to reduce losses. For example, such as: when get 56783, we dont need to change all, and only in 3, so the expectations will be higher.
To the question 3:
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