Purchased this die from a hobby/tabletop store yesterday, mainly because I thought it looked cool, and that it was funny that it was so hard to read the faces:
I was passively rolling the die, and noticed that my rolls were all very low. Checking the faces, I found that this was actually a d10 with twenty sides and two instances of each number, 0-9.
Is there a name for a die like this? Would I be able to purchase another, possibly with sides 10-20?
I am trying to understand the maximum cardinality problem in the context of stable matching algorithm. I am reading the following article at the link:
A Two-Sided Matching Decision Model Based on Uncertain Preference Sequences
The article says that:
In general, we can categorize two-sided matching problem into three typical kinds of models in terms of different decision objectives: stable matching, maximum cardinality matching, and maximum weight matching. In the first model, the objective is to seek a stable matching solution, and we count a solution as stable matching only when there does not exist any alternative pairing (𝐴, 𝐵) in which 𝐴 and 𝐵 are individually better off than they would be with the element currently matched. Gale and Shapley put forward an approach, also named Gale-Shapley algorithm, to get a stable matching solution in the perspective of mathematics and game theory, which symbolizes the beginning of two-sided matching research and enlightens the subsequent scholars to pay more attention to this topic. In the second model, the objective is to seek a solution in which the number of matching pairs is maximized.
I am able to understand stable matching. I can’t understand how the number of matching pair is maximized. This may occur because we have 2 sets. One of boys and other of girls. One element in one set has more than one matching in the other set. This might occur due to preference sequence. Am I right about maximum cardinality?
What I understand preference sequence as the order of preferences of elements of one set for the other. Due to maximum cardinality, it is possible that element Of one set has same preferences for multiple elements of the other set.
Am I right about preference sequences?
Somebody please guide me.
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I tried using reccurence relations for Catlan numbers but i was not able to get a satisfying proof
I modeled the function double_sided_breadth_first_search after the ideas in “improving Dijkstra” in Cormen et al, and the OCW course on algorithms. Note that I expand the smaller boundary, in an effort to improve efficiency. I have not seen this applied to bfs before. Does anyone know the name of this algorithm? Does it have a name? I saw the technique for doing a double sided Dijkstra algorithm, doing the iteration on the smaller vertex with smaller degree described online but can’t find the page now. Does anyone know of a references for the Dijkstra style algorithm I just described? Here is my code: https://github.com/ClarkSims/PythonGraphAlgorithms/blob/master/demo_symetric_bfs.py
Suppose you roll 3 fair six sided dice.
Z represents the value of the first die rolled
How to approach this question.Can it be done with binomial distribution because listing the possible outcomes is a very long method.What the shortcut the approach this question?
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