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Thread: Building a heap in Design and analysis of algorithms free notes

  1. #1

    Pdf 32 Building a heap in Design and analysis of algorithms free notes

    We can use the procedure MAX-HEAPIFY in a bottom-up manner to convert an array A[1 ‥n], where n = length[A], into a max-heap, the elements in the subarray A[(⌊n/2⌋ 1) ‥n] are all leaves of the tree, and so each is a 1-element heap to begin with. The procedure BUILD-MAX-HEAP goes through the remaining nodes of the tree and runs MAX-HEAPIFY on each one. BUILD-MAX-HEAP(A)


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    Last edited by ajaytopgun; 3rd April 2014 at 11:56 AM.

  2. #2

    Re: Building a heap in Design and analysis of algorithms free notes

    gud notes..........monica ji...thnx

  3. #3

    Re: Building a heap in Design and analysis of algorithms free notes

    thanks for sharing...

  4. #4

    Re: Building a heap in Design and analysis of algorithms free notes

    we can also see that like

  5. #5
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    Re: Building a heap in Design and analysis of algorithms free notes

    Quote Originally Posted by monica.4567 View Post
    We can use the procedure MAX-HEAPIFY in a bottom-up manner to convert an array A[1 ‥n], where n = length[A], into a max-heap, the elements in the subarray A[(⌊n/2⌋ 1) ‥n] are all leaves of the tree, and so each is a 1-element heap to begin with. The procedure BUILD-MAX-HEAP goes through the remaining nodes of the tree and runs MAX-HEAPIFY on each one. BUILD-MAX-HEAP(A)

    Great! Am having some trouble in understanding an algorithm I was going through. Can I post it here to get some clarity on the same?

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    Re: Building a heap in Design and analysis of algorithms free notes

    download doesnot works in my android device. any dea .......?

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    Re: Building a heap in Design and analysis of algorithms free notes

    [MENTION=206079]ashok061[/MENTION]: you will need to register again, you account is inactive

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