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Examples of Recursion

Divide the line into 16 segments:

Outline

- The concept of recursion
- How to write and use recursive method
- How the recursive method are executed
- Recursion vs. iteration
- Examples: Tower of Hanoi
- Summary

Definition of Recursion

A computer programming technique involving the use of a procedure, subroutine, function, or algorithm that calls itself in a step having a termination condition so that successive repetitions are processed up to the critical step until the condition is met at which time the rest of each repetition is processed from the last one called to the first

- Two parts to recursion:
- Base case(s) – termination
- If the problem is easy, solve it immediately.
- Recursion step – call itself
- If the problem can\'t be solved immediately, divide it into smaller problems, then
- Solve the smaller problems by applying this procedure to each of them.

.

Conquer

Converge

Divide

Previous Game

My number

=1

My number =

10* the number inside

+ 1

n: # of boxes

Recursion step:

num(n) = 10*num(n-1) + 1

Base case: num(0) = 1

For any n>0:

num(n) -> num(n-1) -> num(n-2)….-> num(0)

Recursion Method

Recursion step: num(n) = 10*num(n-1) + 1

Base case: num(0) = 1

int Num(int n)

{

if (n == 0)

return 1;

else

return 10*Num(n-1) +1;

}

Complete Program

class NumCalc

{

int Num( int n )

{

if ( n == 0 )

return 1;

else

return 10*Num(n-1) +1;

}

}

class NumCaclTester

{

public static void main ( String[] args)

{

NumCalc numcalc = new NumCalc();

int result = numcalc.Num( 3 );

System.out.println(“numcalc(3) is " + result );

}

}

Result:

numcalc(3) is 1111

Recap

Skeleton for a recursive Java method

type solution(type para )

{

if ( base case ) {

return something easily computed

} else {

divide problem into pieces

return something calculated from the solution to each piece

}

}

Outline

- The concept of recursion
- How to write and use recursive method
- How the recursive method are executed
- Recursion vs. iteration
- Examples: Tower of Hanoi
- Summary

Recursive Evaluation

Num

parameter 1

Num

return 111

parameter 2

return 1111

Num

num(3)

= 10 * num(2) + 1

= 10 * (10 * num(1) + 1) + 1

= 10 * (10 * (10 * num(0) + 1) +1) + 1

= 10 * (10 * (10 * 1 + 1) + 1 ) + 1

= 10 * (10 * 11 + 1 ) + 1

= 10 * 111 + 1

= 1111

return1

parameter 0

return 11

Num

parameter 3

Recursion and Method Call Stack

Num

parameter 1

Num

parameter 2

top of stack

top of stack

top of stack

top of stack

top of stack

When a method is called,

push the method and parameters into the stack

Num

parameter 0

Num(0)

Num(1)

Num(2)

Num

Num(3)

parameter 3

Recursion and Method Call Stack

Num

parameter 1

Num

return 111

parameter 2

top of stack

top of stack

top of stack

top of stack

top of stack

return 1111

When a method is returned,

pop the method and parameters off the stack

Num

return1

parameter 0

Num(0)

return 11

Num(1)

Num(2)

Num

Num(3)

parameter 3

Factorials

1!

return1

parameter 1

2!=2*1!

parameter 2

return 2

3!

=3*2!

return 6

parameter 3

4!

=4*3!

return 24

parameter 4

n! = n* (n-1) * … * 1, (n> 0)

0! = 1

Recursion step: n! = n*(n-1)!

Base case: 0! = 1, 1! = 1

int factorial(int n)

{

if (n <= 1)

return 1;

else

return n*factorial(n-1);

}

Iteration

n! = n* (n-1) * … * 1, 0! = 1

int factorial(int n)

{

int result = 1;

for (int i = n; i>=1; i--);

result *= i;

return result;

}

Recursion vs. Iteration

int factorial(int n)

{

int result = 1;

for (int i = n; i>=1; i--);

result *= i;

return result;

}

int factorial(int n)

{

if (n <= 1)

return 1;

else

return n*factorial(n-1);

}

Towers of Hanoi

- Problem: How to move disks from peg 1 to 3, subjected to:
- Only one disk is moved at a time
- A larger disk can’t be placed above a smaller disk at any time
- Peg 2 is used for temporarily holding disks

3

1

2

5

4

3

2

1

Towers of Hanoi

Case 1: move 1 disk from peg 1 to 3, using peg 2

-- Move disk 1 from peg 1 to peg 3 directly

3

1

2

1

1

Towers of Hanoi

Case 2: move 2 disks from peg 1 to 3, using peg 2

- Move disk 2 from peg 1 to 2

- Move disk 1 from peg 1 to 3

- Move disk 2 from peg 2 to 3

3

1

2

2

2

1

1

2

Towers of Hanoi

5

5

5

5

5

4

4

4

4

4

3

3

3

3

3

2

2

2

2

2

Case 3: move 5 disks from peg 1 to 3

- Move 4 disks(2-5) from peg 1 to 2, using peg 3

- Move disk 1 from peg 1 to 3

- Move 4 disks(2-5) from peg 2 to 3, using peg 1

3

1

2

1

1

Towers of Hanoi

How?

Case 3: move 5 disks from peg 1 to 3

- Move 4 disks(2-5) from peg 1 to 2, using peg 3

- Move disk 1 from peg 1 to 3

- Move 4 disks(2-5) from peg 2 to 3, using peg 1

3

1

2

Same way with less disks

5

4

5

5

3

4

4

2

3

3

1

2

Towers of Hanoi

General Case : move n disks from peg 1 to 3, using peg 2

- Move n-1 disks from peg 1 to 2, using peg 3

- Move last disk from peg 1 to 3

- Move n-1 disks from peg 2 to 3, using peg 1

void solveTowers (int disks, int srcpeg, int destpeg, int temppeg)

{

if (disks == 1) {

System.out.printf(“\n %d -> %d”, srcpge,destpeg);

} else {

solveTowers(disks -1, srcpeg, temppeg, destpeg);

System.out.printf(“\n%d -> %d”, srcpeg,destpeg);

solveTowers(disks -1, temppeg, destpeg, srcpeg);

}

return;

}

Towers of Hanoi

Question:

How many moves are need to move n disks from peg 1 to 3?

2n -1

void solveTowers (int disks, int srcpeg, int destpeg, int temppeg)

{

if (disks == 1) {

System.out.printf(“\n %d -> %d”, srcpge,destpeg);

} else {

solveTowers(disks -1, srcpeg, temppeg, destpeg);

System.out.printf(“\n%d -> %d”, srcpeg,destpeg);

solveTowers(disks -1, temppeg, destpeg, srcpeg);

}

return;

}

Towers of Hanoi

Case : move 5 disks from peg 1 to 3, using peg 2

Result:

1 --> 3 1 --> 2 3 --> 2 1 --> 3

2 --> 1 2 --> 3 1 --> 3 1 --> 2

3 --> 2 3 --> 1 2 --> 1 3 --> 2

1 --> 3 1 --> 2 3 --> 2 1 --> 3

2 --> 1 2 --> 3 1 --> 3 2 --> 1

3 --> 2 3 --> 1 2 --> 1 2 --> 3

1 --> 3 1 --> 2 3 --> 2 1 --> 3

2 --> 1 2 --> 3 1 --> 3

Other Examples

- Fibonacci Series
- String Permutations
- Fractals
- Binary Search
- …

Summary

- The concept of recursion
- How to write and use recursive method
- How the recursive method are executed
- Recursion vs. iteration
- Examples: Tower of hanoi

In order to understand recursion you must first understand recursion.

— Unknown

http://cs-people.bu.edu/danazh/cs111-recursion/index.html

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