We use cookies to ensure you have the best browsing experience on our website. Please read our cookie policy for more information about how we use cookies.
Unfair Game
Unfair Game
Sort by
recency
|
18 Discussions
|
Please Login in order to post a comment
Dive into the complexities of "Unfair Game" with our promotional notepads. Ideal for noting down critical insights, strategies, and reflections, these notepads help you stay organized and focused. Whether analyzing game mechanics, documenting unfair play tactics, or brainstorming solutions, our notepads ensure you capture every detail. Stay ahead of the game and make informed decisions with our practical and stylish promotional notepads, designed for those who navigate the intricate world of "Unfair Game."
It took days for me to understand the DP solution by reading other solutions and comments and this link https://plus.maths.org/content/play-win-nim. I know this is an old problem but I feel like writing an editorial based on what I know since there isn't one.
First read the link above. With that we can reduce the problem to: what is the minimum number of stones to add to make the XOR of the piles equal to 0? Though, this problem is still very difficult.
Since we are dealing with XOR, it is useful to think in terms of bits. Assume the optimal solution adds to for all . What happens to the bits when we add them both? Notice that the highest bit that changes in always goes from to otherwise the result would be less than which is not possible since is positive. Let be the position of that bit . We can break into parts such that :
There are s that we don't know. Here's where DP comes in.
Let's go from highest to lowest bit and set for some s where is the current bit position. This suggests a bitmask approach where the bit is on in the mask if .
Let be the minimum to add only considering XOR of the bits and above such that represents the : . The transition from to looks like a variation of the "sum-over-subsets DP" however I could not find an solution using this method. The trick is that we do not need to consider all submasks. Say that we have , such that . Since turns all 's bits lower than into zeroes, we may use to change parity as needed. Since the goal is to make the number of ones at the current bit position even, we only set at most once, right? This is only true for that are not the maximum. If there is no , such that there would be no way to change parity unless we set another , . This means there can be at most 2 maximum s. With this the transition from to can be done in thus the total time is .
Let be the position of the lowest bit such that for all .
Base cases:
DP transitions:
Answer:
: we may end with any mask.
Here is my solution in java, javascript, python, C, C++, Csharp HackerRank Unfair Game Problem Solution
Here is Unfair Game problem solution in Python Java C++ and C programming - https://programs.programmingoneonone.com/2021/07/hackerrank-unfair-game-problem-solution.html
The game is simple, all you have to do is make the xor of all the piles equal to zero if they are not already. The main thing is finding the algorithm for this.
Look at the the bitwise xor of all the elements
For example: piles = [10,4,5,1]
if I draw its bitwise map then (Symbol "x" equates to 1) :
(Initial)
(Step - 1) (We correct for row 1)
(Step - 2)(We correct for row 2)
(Step - 3) and (Step - 4) are not necessary to show as they are already corrected.
Let's take another example for the case of piles = [1,1,1]
(Initial)
(Step - 1) In this there is an excess of 1 so we shift that one ahead and start with that row again
(Step - 2) Now, we need to apply correction to the row that we just shifted.
(Step - 3) Now first row has been corrected and the second row needs correction. If there is no other way to add an 1 the we introduce the 1 in the last row
Now, you just need to convert the rows to their respective integers and subtract and add the difference in the count and return the count
For example:
and
and
That is how to solve this question I guess. I will try it.