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Nội dung liên quan đến bài viết merge sort.
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Hình ảnh liên quan đếnchuyên mục Merge sort in 3 minutes.
Merge sort in 3 minutes
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Tag có liên quan đến đề tài merge sort.
#Merge #sort #minutes.
Merge sort,merge,merge sorting,merge sort algorithm,recursive sort,recursion,mergesort.
Merge sort in 3 minutes.
merge sort.
Hy vọng những Kiến thức về chủ đề merge sort này sẽ có ích cho bạn. Chân thành cảm ơn.
7: Where's 6?
In the algorithm shown in this video, is the array sorted in descending order?
Here is how the lists are merged together.
Picture a cursor pointing to the first element of each of our two arrays. We will go through both at the same time from left to right. We can do this because both arrays are guaranteed to be sorted( or else they only have one element). So we know the smallest value or our new will, merged array will either be the leftmost element of the first array or that of of the second array.
So:
1. Check the first element of each subarray and grab whichever is smallest. Say it's the first arrays first element. We then grab that element, increment the cursor on the first array, and restart our loop. So next time we will compare the second item of the first array, and first item of the second array, and grab the smallest.
If this makes sense, look at his pseudocode now. The first while loop handles the case where both of the sub arrays still contain values. Once one of them runs out of values, we will move on to those other while loops which will empty out the remaining elements from the other array, which will still have one or more values.
Mann…. Your the BOMB💣
There is a catch if the array was [6, 8, 5, 3, 9, 4, 1, 7] your explaining strategy wouldn't work
"Inserting items in correct order." – That's the whole algorithm isn't it?
"Inserting items in the correct order", thx man 😀
Isn't this wrong? It's a recursive algorithm like:
mergeS()
mergeD()
order()
it should be something like:
[2 8 5 3 9 4 1 7]
[2 8 5 3]
[2 8]
[2]
[8]
[2 8]
[5 3]
[5]
[3]
[3 5]
[2 3 5 8]
[9 4 1 7]
[9 4]
[9]
[4]
[4 9]
[1]
[7]
[1 7]
[1 4 7 9]
[1 2 3 4 5 7 8 9]
Anyone sent here for IT homework
Downvoted because the actual merging is not explained.
awsome lesson
三分钟看懂不难，关键是能三年记住。
2:23 it looks like condition should be a[0] < b[0], given we are sorting in acsending order.
awesome video dude. I particularly liked the pseudocode. Thanks a bunch
thank you
My man, you have to do more vdos like this
i love your vdos
I read the wiki article and saw bunch of other yt videos but couldn't write this myself , but this video helped me finally write a top_down mergesort algo in ruby. So thanks a lot for the video.
Why wouldn't you just merge it all into one array from the beginning of step 2, rather than merge into individual arrays first?
thx
helped a lot
just waiting for my school mates to finish it, innit?
a tua tia é gorda
Great Video! Can you tell us which software you use to visualize sorting algorithms?
Not all heroes wear capes
How about nine elements???
you're a saviour. thank you
This is the video Iam searching for…….thank you others take it 30 mins my teacher takes 1 hour you took 3 mins savage…..thug……thank you…….😀
If it's a recursive algorithm, why isn't the the pseudocode calling recursively?
this is really easy to understand..🥰🥰🥰