This is more of a maths question than programming but I figure a lot of people here are pretty good at maths! :)
My question is: Given a 9 x 9 grid (81 cells) that must contain the numbers 1 to 9 each exactly 9 times, how many different grids can be produced. The order of the numbers doesn't matter, for example the first row could contain nine 1's etc. This is related to Sudoku and we know the number of valid Sudoku grids is 6.67×10^21, so since my problem isn't constrained like Sudoku by having to have each of the 9 numbers in each row, column and box then the answer should be greater than 6.67×10^21.
My first thought was that the answer is 81! however on further reflection this assumes that the 81 numbers possible for each cell are different, distinct number. They are not, there are 81 possible numbers for each cell but only 9 possible different numbers.
My next thought was then that each of the cells in the first row can be any number between 1 and 9. If by chance the first row happened to be all the same number, say all 1s, then each cell in the second row could only have 8 possibilites, 2-9. If this continued down until the last row then number of different permutations could be calculated by 9^2 * 8^2 * 7^2 ..... * 1^2. However this doesn't work if each row doesn't contain 9 of the same number.
It's been quite a while since I studied this stuff and I can't think of a way to work it out, I'd appreciate any help anyone can offer.
Imagine taking 81 blank slips of paper and writing a number from 1 to 9 on each slip (nine of each number). Shuffle the deck, and start placing the slips on the 9x9 grid.
You'd be able to create 81! different patterns if you considered each slip to be unique.
But instead you want to consider all the 1's to be equivalent.
For any particular configuration, how many times will that configuration be repeated
due to the 1's all being equivalent? The answer is 9!, the number of ways you can permute the nine slips with 1 written on them.
So that cuts the total number of permutations down to 81!/9!. (You divide by the number of indistinguishable permutations. Instead of 9! indistinguishable permutations, imagine there were just 2 indistinguishable permutations. You would divide the count by 2, right? So the rule is, you divide by the number of indistinguishable permutations.)
Ah, but you also want the 2's to be equivalent, and the 3's, and so forth.
By the same reasoning, that cuts down the number of permutations to
81!/(9!)^9
By Stirling's approximation, that is roughly 5.8 * 10^70.
First, let's start with 81 numbers, 1 through 81. The number of permutations for that is 81P81, or 81!. Simple enough.
However, we have nine 1s, which can be arranged in 9! indistinguishable permutations. Same with 2, 3, etc.
So what we have is the total number of board permutations divided by all the indistinguishable permutations of all numbers, or 81! / (9! ** 9).
>>> reduce(operator.mul, range(1,82))/(reduce(operator.mul, range(1, 10))**9)
53130688706387569792052442448845648519471103327391407016237760000000000L
Related
I have a question:
Find the total number of ways a 3×n board can be painted using 3 colors while making sure no cells of the same row or the same column have entirely the same color. The answer must be computed modulo 10^9+7.
Also somebody answered it here.
https://math.stackexchange.com/questions/3215805/coloring-a-3-times-n-board-using-3-colors
but i am not able to understand, can you explain in easy language?
To understand the general principle, let's look at a situation with only two columns. Name the colors red, green and blue.
For a column to fulfill the conditions: Each cell can have one of 3 colors, there are 3 cells, totaling 3^3=27 possible colorings. Among these, 3 are monochrome (one red, one green, one blue). Subtracting the disallowed colorings: 27-3=24 possibilities for a column. Only considering the columns, there are 24^n colorings for the board.
Now, let's look at the disallowed rows. For the monochrome row, there are 3 colors and 3 possible rows to choose from. For each of these 9 possibilities, each column can be colored in 8 possible ways. This means 9x8^n rows need to be removed. The image below shows each of the possible boards where no column is monochrome. The 9x8^2=576 rows to be removed are shown with a black line:
If we now subtract the number of blacked out rows from the total, we are subtracting too many: some boards have two bad rows and some even three.
So, the count of the boards with two bad rows has to be added again. Their total is 3x3x2^n + 3x6x3^n. The first term counts the case with two equal colored bad rows: 3 positions for the non-bad row, 3 colors for the bad rows, 2 remaining colors for each cell of the non-bad row. The second term counts the case with two differently colored bad rows: 3 positions for the non-bad row, 6 possible colorings for the bad rows, 3 possible colors for each cell of the non-bad row.
There are 24 boards with three bad rows which got subtracted three times in the second step and added again three times in the third step. They now have to be subtracted from the total.
So, as explained in the linked post, the general formula is:
24^n − 9×8^n + 18×3^n+9×2^n − 24
which gives the values 0, 174, 9750, 296490, 7672350, 188757354, 4567637550, 109924439610, 2640599939550, 63393718361034, ... for n starting at 1.
Or modulo 10^9+7:
0, 174, 9750, 296490, 7672350, 188757354, 567637522, 924438847, 599921070, 717917283, ...
I am not good at probability and I know it's not a coding problem directly. But I wish you would help me with this. While I was solving a computation problem I found this difficulty:
Problem definition:
The Little Elephant from the Zoo of Lviv is going to the Birthday
Party of the Big Hippo tomorrow. Now he wants to prepare a gift for
the Big Hippo. He has N balloons, numbered from 1 to N. The i-th
balloon has the color Ci and it costs Pi dollars. The gift for the Big
Hippo will be any subset (chosen randomly, possibly empty) of the
balloons such that the number of different colors in that subset is at
least M. Help Little Elephant to find the expected cost of the gift.
Input
The first line of the input contains a single integer T - the number
of test cases. T test cases follow. The first line of each test case
contains a pair of integers N and M. The next N lines contain N pairs
of integers Ci and Pi, one pair per line.
Output
In T lines print T real numbers - the answers for the corresponding test cases. Your answer will considered correct if it has at most 10^-6 absolute or relative error.
Example
Input:
2
2 2
1 4
2 7
2 1
1 4
2 7
Output:
11.000000000
7.333333333
So, Here I don't understand why the expected cost of the gift for the second case is 7.333333333, because the expected cost equals Summation[xP(x)] and according to this formula it should be 33/2?
Yes, it is a codechef question. But, I am not asking for the solution or the algorithm( because if I take the algo from other than it would not increase my coding potentiality). I just don't understand their example. And hence, I am not being able to start thinking about the algo.
Please help. Thanks in advance!
There are three possible choices, 1, 2, 1+2, with costs 4, 7 and 11. Each is equally likely, so the expected cost is (4 + 7 + 11) / 3 = 22 / 3 = 7.33333.
I would like to unit test the time writing software used at my company. In order to do this I would like to create sets of random numbers that add up to a defined value.
I want to be able to control the parameters:
Min and max value of the generated number
The n of the generated numbers
The sum of the generated numbers
For example, in 250 days a person worked 2000 hours. The 2000 hours have to randomly distributed over the 250 days. The maximum time time spend per day is 9 hours and the minimum amount is .25
I worked my way trough this SO question and found the method
diff(c(0, sort(runif(249)), 2000))
This results in 1 big number a 249 small numbers. That's why I would to be able to set min and max for the generated number. But I don't know where to start.
You will have no problem meeting any two out of your three constraints, but all three might be a problem. As you note, the standard way to generate N random numbers that add to a sum is to generate N-1 random numbers in the range of 0..sum, sort them, and take the differences. This is basically treating your sum as a number line, choosing N-1 random points, and your numbers are the segments between the points.
But this might not be compatible with constraints on the numbers themselves. For example, what if you want 10 numbers that add to 1000, but each has to be less than 100? That won't work. Even if you have ranges that are mathematically possible, forcing compliance with all the constraints might mean sacrificing uniformity or other desirable properties.
I suspect the only way to do this is to keep the sum constraint, the N constraint, do the standard N-1, sort, and diff thing, but restrict the resolution of the individual randoms to your desired minimum (in other words, instead of 0..100, maybe generate 0..10 times 10).
Or, instead of generating N-1 uniformly random points along the line, generate a random sample of points along the line within a similar low-resolution constraint.
If you have a randomly generated password, consisting of only alphanumeric characters, of length 12, and the comparison is case insensitive (i.e. 'A' == 'a'), what is the probability that one specific string of length 3 (e.g. 'ABC') will appear in that password?
I know the number of total possible combinations is (26+10)^12, but beyond that, I'm a little lost. An explanation of the math would also be most helpful.
The string "abc" can appear in the first position, making the string look like this:
abcXXXXXXXXX
...where the X's can be any letter or number. There are (26 + 10)^9 such strings.
It can appear in the second position, making the string look like:
XabcXXXXXXXX
And there are (26 + 10)^9 such strings also.
Since "abc" can appear at anywhere from the first through 10th positions, there are 10*36^9 such strings.
But this overcounts, because it counts (for instance) strings like this twice:
abcXXXabcXXX
So we need to count all of the strings like this and subtract them off of our total.
Since there are 6 X's in this pattern, there are 36^6 strings that match this pattern.
I get 7+6+5+4+3+2+1 = 28 patterns like this. (If the first "abc" is at the beginning, the second can be in any of 7 places. If the first "abc" is in the second place, the second can be in any of 6 places. And so on.)
So subtract off 28*36^6.
...but that subtracts off too much, because it subtracted off strings like this three times instead of just once:
abcXabcXabcX
So we have to add back in the strings like this, twice. I get 4+3+2+1 + 3+2+1 + 2+1 + 1 = 20 of these patterns, meaning we have to add back in 2*20*(36^3).
But that math counted this string four times:
abcabcabcabc
...so we have to subtract off 3.
Final answer:
10*36^9 - 28*36^6 + 2*20*(36^3) - 3
Divide that by 36^12 to get your probability.
See also the Inclusion-Exclusion Principle. And let me know if I made an error in my counting.
If A is not equal to C, the probability P(n) of ABC occuring in a string of length n (assuming every alphanumeric symbol is equally likely) is
P(n)=P(n-1)+P(3)[1-P(n-3)]
where
P(0)=P(1)=P(2)=0 and P(3)=1/(36)^3
To expand on Paul R's answer. Probability (for equally likely outcomes) is the number of possible outcomes of your event divided by the total number of possible outcomes.
There are 10 possible places where a string of length 3 can be found in a string of length 12. And there are 9 more spots that can be filled with any other alphanumeric characters, which leads to 36^9 possibilities. So the number of possible outcomes of your event is 10 * 36^9.
Divide that by your total number of outcomes 36^12. And your answer is 10 * 36^-3 = 0.000214
EDIT: This is not completely correct. In this solution, some cases are double counted. However they only form a very small contribution to the probability so this answer is still correct up to 11 decimal places. If you want the full answer, see Nemo's answer.
Given the following letters in a license plate, how many combinations of them can you create
AAAA1234
Please note that this is not a homework question (I am too old for college :)
I am only trying to understand permutations and combinations. I always get lost when I see questions like this. Do I use n! or nPr or nCr.
Any book on this subject in addition to the logic used to arrive at the answer will also be greatly appreciated.
I have faith in exactly one method to remember such formulas: Rethink through the reasoning to justify it as needed. Then, each time you need the formula, remembering it becomes a mental exercise that makes it easier to remember it the next time. It also allows you to know the math on your own authority, instead of someone else's authority.
If the letters are all different, then there are n choices for the first letter, n-1 choices for the second letter, and so on. That makes n! However, in your problem the letters are not all different. One trick is to tag them to make them different so that you are overcounting, then divide by the amount that you are overcounting. If a of the symbols are A, then you can tag them in a! ways. They are then all different, so that the answer to the modified question is n!. So the answer to the original question is n!/a! (This is assuming that the symbols other than the A are fixed, distinct numbers.)
Another argument is to count the positions for the numbers. There are n positions for the 1, n-1 positions for the 2, etc., so you get n(n-1)...(n-r+1) = n!/a!, where r = n-a.
In fact the answer is the same as the permutation formula nPr. And your arrangements are much the same as partial permutations, which is what the formula is for. But you'll learn it better if you reason through it before looking at the formula.
As for books, I might suggest Brualdi, Introductory Combinatorics.
One strategy that you can use (there will be many) is to get all the permutations possible, then divide out the repeats.
Permutations of 8 elements = 8!
But for each unique arrangement of these, there are a bunch more with the same positions of the A's. So, how many ways can you arrange four A's in one particular set of positions?
Permutations of 4 A's = 4!
So the total unique arrangements should be 8! / 4!
If I'm totally wrong just someone say so and I'll delete this answer...
If you mean 3 letters A-Z and 4 digits 0...9 in that order, then you have
26 letters x
26 letters x
26 letters x
26 letters x
10 digits x
10 digits x
10 digits x
10 digits
= 26^4 * 10^4
= 4569760000
If no leading "0" is allowed, you get a few less.
Edit1: Miscounted the "A"
Edit2: I reread the question - originally I thought it was just four letters at the beginning followed by 4 numbers. If it's just a permutation thing, then the answer is obviously different: 8! permutations at all, but 4! permutations for the A are the same, so 8! / 4! = 1680.
Answer is 8!/4!
Let's try to explain with a simpler question: Combinations of 112 ?
There are 112, 121 and 211. If all digits would be unique, we could just find the answer by 3! But there is a repeating digit. So we should extract repeating digits by 3!/2! = 3
Another example is 1122. We have two repeating digit here. So we should extract twice. 4!/2!.2! = 6
I think this is a good explanation of permutations and combinations:
Easy Permutations and Combinations Better explained.
It goes step by step until you discover how to make the calculations.
No need for permutations, because all letters can be repeated, even the number
since the given example is [AAAA1234],then we have 4-Letters and 4-Digits.
for each letter we have 26 {A-Z} possible combinations
Thats why for 4 letters we will have 26^4
For each Number we have 10 {0-9} possible combinations, except the last digit we 9 possible combinations {case 1}, if it not allowed to be 0 otherwise it is 10 {case 2}
Thats why for 4 letters we will have 9*10^3 {case 1} or 10^4 {case 2}
The total number of combinations is {case 1} 9*(26^4)***(10^3) or {case 2} (26^4)*(10^4)
But if your question about permutations for the set{A,A,A,A,1,2,3,4}, then consider the the equivalent set {1,2,3,4,5,6,7,8} and try avoid the repeated sequence by divide over the permutations of {5,6,7,8} and the answer is 8!/4!=5*6*7*8=1680. the{5,6,7,8} represent {A,A,A,A} See #Tesserex & #erkangur
How many distinct sets of positions can the A's occupy? Given this value, multiply by the number of distinct arrangements of 1234 and you have your answer. You'll need to choose the positions for the A's and then ! will help with the arrangements of 1234.
Consider a simpler example. Let's say you had asked the question:
How many arrangements are there of the symbols: ABCD1234?
Now, since every symbol is distinct, there are 8! ways to arrange them.
Now let's build up to your problem. If we change the letter B to an A, we have AACD1234.
This destroys the uniqueness of exactly half the possible combinations, since any combination where we could have previously switched the A and the B is now non-unique. Therefore, we now have 8!/2 combinations.
Similarly, replacing the C with another A would result in half of the remaining combinations losing their uniqueness, and so on.
So, if only one symbol is duplicated, the generalized formula is (number of symbols total)!/2^(number of duplications)
In your case, the number of possible arrangements is 8!/2^4