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Mayesh Mohapatra

83 likes

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467 reads

13 comments

theroyakash
theroyakash
Mar 23, 2021

Hey, loved your explanation on this. I never heard about the fibonacci search but your explaination great.

Would you like to collaborate on this open-source project? I'm on Discord @theroyakash#5635

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·1 reply
Mayesh Mohapatra
Mayesh Mohapatra
Author
·Mar 24, 2021

Surely, lets continue on discord. I'm available as Mayesh#9842.

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Muskaan Muskaan
Muskaan Muskaan
Mar 23, 2021

Great work! ✨💯

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Soumyajit
Soumyajit
Mar 23, 2021

Good job💯

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Adrija Adhikari
Adrija Adhikari
Mar 23, 2021

Wonderful explanation! 💯

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Moukthika Karinki
Moukthika Karinki
Mar 23, 2021

Well done 👍👏

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Nishant Rai
Nishant Rai
Mar 23, 2021

Great job.. Very intuitive!

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ARJUN
ARJUN
Mar 23, 2021

why is it that the average time complexity of fibonacci search which you mentioned is same as that of binary searchs time complexity inspite of more comparisons being executed by fibonacci search in comparision to binary search .......

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·1 reply
Mayesh Mohapatra
Mayesh Mohapatra
Author
·Mar 24, 2021

Hello Arjun, Time Complexity is more about how things scale with increasing input size and not about the cost of each iteration.

A complexity of O(logn) would simply mean that if the length of the input array is doubled, the effort involved is about 30% more than that of the original input. This stack overflow answer explains it beautifully.

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Aheli Chakraborty
Aheli Chakraborty
Mar 23, 2021

Good work👍👏

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Catalin Pit
Catalin Pit
Mar 24, 2021

TIL about Fibonacci search. Thank you! 👍

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Bhoomika
Bhoomika
Mar 25, 2021

Great job 👌👍

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Harshad
Harshad
Mar 28, 2021

Loved your explanation.

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