Survey
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Recursion Dennis Burford [email protected] Exercise • Number of people in a row? • Start with person on left: • How many people to the right – If no-one to the right, say “one” – Else ask person to the right, add one to this, and say the answer Work this out…. Calculate f(3), where: and and f(x) = 2 * f(x-1) f(0) = 1 x >=0 f(3) f (x) = 2 * f (x-1) f (0) = 1 x >= 0 f (x) = 2 * f (x-1) f (0) = 1 x >= 0 f(3) 2* f(2) f (x) = 2 * f (x-1) f (0) = 1 x >= 0 f(3) 2* f(2) 2* f(1) f (x) = 2 * f (x-1) f (0) = 1 x >= 0 f(3) 2* f(2) 2* f(1) 2* f(0) f (x) = 2 * f (x-1) f (0) = 1 x >= 0 f(3) 2* f(2) 2* f(1) 2* f(0) 1 f (x) = 2 * f (x-1) f (0) = 1 x >= 0 f(3) 2* f(2) 2* f(1) 2* 1 f (x) = 2 * f (x-1) f (0) = 1 x >= 0 f(3) 2* f(2) 2* 2 f (x) = 2 * f (x-1) f (0) = 1 x >= 0 f(3) 2* 4 8 f (x) = 2 * f (x-1) f (0) = 1 x >= 0 f (x) = 2 * f (x-1) f (0) = 1 x >= 0 f (3) = 8 Write f (x) in Java code f (x) = 2 * f (x-1) f (0) = 1 x >= 0 f (x) in Java code public int f( int x ) { if ( x == 0 ) return 1; else return 2 * f (x-1); } f (x) = 2 * f (x-1) f (0) = 1 x >= 0 // Base case // Recursion Recursion • f (x) = 2 * f (x-1) is recursive definition of a function. • Function defined in terms of itself. • Solved by repeatedly applying set of rules. Recursion in Java • In Java – Recursion is when a method calls itself. – Must be a case when it does not call itself (called the stopping condition or base case) • Recursion is an alternative to looping. • As with looping, recursion can cause your program to loop forever. What’s wrong? public int f( int x ) { if ( x == 0 ) return 1; else return 2 * f (x-1); } f (x) = 2 * f (x-1) f (0) = 1 x >= 0 // Base case // Recursion What about f (-1)? public int f( int x ) { if ( x <= 0 ) return 1; else return 2 * f (x-1); } f (x) = 2 * f (x-1) f (0) = 1 x >= 0 // Base case // Recursion Efficiency of Recursion • Any recursive function can be converted to an equivalent iterative method. • Although recursion is elegant, it can be inefficient, because there are more calls to methods. • Iterative methods are more efficient and faster. f(0) = 1 f(1) = 2 f(2) = 4 f(3) = 8 f(x) = 2 x f(x) = 2 * f(x-1) f(0) = 1 x >= 0 Another way to write f(x) in Java public int f( int x ) { int total = 1; for (int i=0; i<x; i++) total = total * 2; return total; } // Iterative Rules of Recursion 1. Base cases: always have base case, which is solved without recursion 2. Making progress: for recursive cases, call must always make progress towards base case 3. Design Rule: assume all recursive calls work. Another Example • Factorials – 3! = 3*2*1 = 6 – 4! = 4*3*2*1 = 24 – n! = n*(n-1)*….*3*2*1, n >= 0 • Base case – 0! = 1 Factorials: Recursive public static int factorialR( int n ) { if (n <= 1 ) return 1; else return (n * factorialR(n-1)); } Factorials: Iterative public static int factorialI( int n ) { int ans = n; for (int i = n-1; i>0; i--) ans *= i; return ans; } Example: Reversing a String • Reverse() takes String and prints reverse • Reverse(“dennis”) prints out “sinned” • Base case? • Progress? Another Example: Binary Search • Sorted array of numbers in ascending order: 3, 5, 6, 7, 15, 19, 24, 27, 35, 40, 68, 70, 72, 75, 81, 90 • Find 81(use recursive function). To Iterate is Human, To Recurse Divine