{[ promptMessage ]}

Bookmark it

{[ promptMessage ]}

L5_-_Recursion_and_Analysis_of_Algorithm_(4_on_1)

L5_-_Recursion_and_Analysis_of_Algorithm_(4_on_1) - Lecture...

Info iconThis preview shows pages 1–4. Sign up to view the full content.

View Full Document Right Arrow Icon
Recursion Mirror, mirror on the wall 2 --- 71 [CS1102C AY0708S1 L5] Lecture Outline Recursion - Basic idea Iteration versus Recursion How recursion works Recursion - How to More examples on recursion Printing a Linked-List Printing a Linked-List in reverse Choose k out of n things Tower of Hanoi Fibonacci Numbers 3 --- 71 [CS1102C AY0708S1 L5] Recursion : The Basic Idea The process of solving a problem with a function that calls itself directly or indirectly The solution can be derived from solution of smaller problem of the same type Example: Factorial(4) = 4 * Factorial (3) This process can be repeated E.g. Factorial(3) can be solved in term of Factorial(2) Eventually, the problem is so simple that it can solve immediately E.g. Factorial(0) = 1 The solution to the larger problem can then be derived from this … 4 --- 71 [CS1102C AY0708S1 L5] Recursion: The Main Ingredients To formulate a recursive solution: Identify the “ simplest ” instance (The base case : so that we can solve it without recursion) Identify “ simpler ” instances of the same problem (The recursive case : so that we can make recursive calls to solve them) Identify how the solution from the simpler problem can help to construct the final result Be sure we are able to reach the “ simplest instance So that we will not get an infinite recursion
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full Document Right Arrow Icon