**Question:**Find Nth fibonacci number in O(logN) time complexity.

**Answer:**We all know the Fibonacci recurrence as F(n+1) = F(n) + F(n-1) but we can represent this in the form a matrix as shown below:

Look at the matrix A = [ [ 1 1 ] [ 1 0 ] ] . Multiplying A with [ F(n) F(n-1) ] gives us [ F(n+1) F(n) ] , so we say that

A* [ F(n) F(n-1) ] = [ F(n+1) F(n) ]

start with [ F(1) F(0) ] , multiplying it with A gives us [ F(2) F(1) ]; again multiplying [ F(2) F(1) ] with A gives us [ F(3) F(2) ] and so on...

A* [ F(1) F(0) ] = [ F(2) F(1) ]A* [ F(2) F(1) ] = [ F(3) F(2) ] = A^2 * [ F(1) F(0) ]A* [ F(3) F(2) ] = [ F(4) F(3) ] = A^3 * [ F(1) F(0) ]........A* [ F(n) F(n-1) ] = [ F(n+1) F(n) ] = A^n * [ F(1) F(0) ]

So all that is left is finding the nth power of the matrix A. Well, this can be computed in O(log n) time, by recursive doubling. The idea is, to find A^n , we can do R = A^(n/2) * A^(n/2) and if n is odd, we need do multiply with an A at the end. The following pseudo code shows the same.

Matrix findNthPower( Matrix M , power n ){if( n == 1 ) return M;Matrix R = findNthPower ( M , n/2 );R = RxR; // matrix multiplicationif( n%2 == 1 ) R = RxM; // matrix multiplicationreturn R;}

**PS:**This question was asked me in Amazon Interview and I could not replied it that time. I got this answer here and sharing the same.

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sahilSir, i don't think its dynamic programming

Akash@Sahil: It's not...

gauravalgoits better coded form is seen here

http://algosolver.blogspot.com/2011/09/fibonacci-log-n.html

DigitsBy mistake, in the first greyed section third line, its < A* [ F(1) F(0) ] = [ F(4) F(3) ] = A^3 * [ F(1) F(0) ] > while it should be < A* [ F(3) F(2) ] = [ F(4) F(3) ] = A^3 * [ F(1) F(0) ] >

Akash@Digits: Thanks buddy, corrected!

Ivan KadiyskiHere is an excellent solution

Nᵗʰ Fibonacci Number - Matrices Multiplication