Prerequisite: Time Complexity Analysis Generally, while doing competitive programming problems on various sites, the most difficult task faced is writing the code under desired complexity… Read More »
Master Theorem is used to determine running time of algorithms (divide and conquer algorithms) in terms of asymptotic notations. Consider a problem that be solved… Read More »
Amortized analysis refers to determining the time-averaged running time for a sequence (not an individual) operation. It is different from average case analysis because here,… Read More »
In our previous articles on Analysis of Algorithms, we had discussed asymptotic notations, their worst and best case performance etc. in brief. In this article,… Read More »
Tower of Hanoi is a mathematical puzzle where we have three rods and n disks. The objective of the puzzle is to move the entire… Read More »
We have discussed loop unrolling. The idea is to increase performance by grouping loop statements so that there are less number of loop control instruction… Read More »
Loop Invariant Condition: Loop invariant condition is a condition about the relationship between the variables of our program which is definitely true immediately before and… Read More »
In this article, we will discuss important properties of different sorting techniques including their complexity, stability and memory constraints. Before understanding this article, you should… Read More »
In this article, we will see how we can solve different types of recurrence relations using different approaches. Before understanding this article, you should have… Read More »
In this article, we will discuss complexity of different operations in binary trees including BST and AVL trees. Before understanding this article, you should have… Read More »
Prerequisite – Analysis of Algorithms | Set 1, Set 2, Set 3, Set 4, Set 5 Que-1. Solve the following recurrence relation? T(n) = 7T(n/2)… Read More »
Prerequiste: Analysis of Algorithms 1. What is the time, space complexity of following code: Options: O(N * M) time, O(1) space O(N + M) time,… Read More »
Lot of students get confused while understanding the concept of time-complexity, but in this article we will explain it with a very simple example: Imagine… Read More »
Iterated Logarithm or Log*(n) is the number of times the logarithm function must be iteratively applied before the result is less than or equal to… Read More »
The Fibonacci numbers are the numbers in the following integer sequence 0, 1, 1, 2, 3, 5, 8, 13… Mathematically Fibonacci numbers can be written… Read More »