Combinatorics
Set
Collection of elements(in alg for example numbers)
Can be empty, singleton, finite and infinite sets
*inifinite set - for example, type of numbers(real, positive, etc…)
Sequence
Collection of numbers with a specific order(for example progressions)
*infinite set also a sequence(for example arithmetic progression)
Factorial
Product of all positive numbers
n! = n * (n-1) * (n-2) * (n-3) * … | while (n-x)>0
*for example 5! = 5 * 4 * 3 * 2 * 1 = 120
Elements of combinatorics
*possible actions with sets
Variations
From the set with n-length, it is possible to create new sets with rules - they have at least one different element, or order. Formula for calc all variations:
A(n m) = n*(n-1)*(n-2)*...(n-(m-1)) = n! / (n - m)!
Permutations
Special cases of variations when m=n, creates sets with the same length but with different order:
P(n) = A(n m) = n!
Combinations
Action of creating sets with at least one different element, the order do not have sense:
C(n m) = A(n m) / Pm = 1 / (n-m)!
Probabilities
Elements of probabilities
Event
Result of some action. Results can be predicted.
Random event
An event can be successful(true,1)/failure(false,0)/etc…
Certain event
Event will be a successful
Impossible event
Event will be a failure
Incompatible events
For multiple events: if first event is true then second is false, otherwise also
Independent events
For multiple: if first event true then second can be true/false
Opposite events
For multiple: they describe one event and incompatible
Theorem of the incompatible probabilities sum
Probability of one successful from incompatible events
P(A+B)=P(A)+P(B)
P(A1+A2+...Ak) = P(A1)+P(A2)+...+P(Ak)
Theorem of the independent probabilities sum
P(A+B)=P(A)+P(B)-P(AB)
*P(AB) probability when they both successful
P(A+B+C)=P(A)+P(B)+P(C)-P(AB)-P(AC)-P(BC)+P(ABC)
Theorem of the opposite probabilities sum
P(A)+P(B)=1
Theorem of the independent probabilities product
Probability when two successful from both
P(AB)=P(A)*P(B)
P(A1A2…An)=P(A1)*P(A2)*...*P(An)
Theorem of the incompatible probabilities product
Conditional probability
Probability of second(A) after first(B) is successful P(A/B)
P(AB)=P(A)*P(B/A)=P(B)*P(A/B)
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