Java recursion implements the Fibonacci series and java recursion.
The Programming Technique of program calling itself is called recursion ). Recursive Algorithms are widely used in programming languages. A process or function has a method that calls itself directly or indirectly in its definition or description, it usually converts a large and complex problem into a small problem similar to the original problem to solve it, the recursive strategy can describe the repeated computing required for the problem-solving process with only a small number of programs, greatly reducing the amount of code in the program. The ability to recursion lies in the use of limited statements to define an infinite set of objects. In general, recursion requires boundary conditions, recursive forward segments, and recursive return segments. If the boundary condition is not met, recursive advances. If the boundary condition is met, recursive returns. -- This Is What Baidu encyclopedia says.
To put it bluntly, the recursive method itself calls its own operation. The following example shows the famous Fibonacci series.
0, 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89,144,233,377,610,987,159, 2584, 4181,6765, 10946, 17711, 28657,46368 ......
We can see that the third number is obtained by adding the first two numbers.
If a normal loop is used to solve the problem, it is as follows:
Public class FeiBo {public static void main (String [] args) {int num1 = 0; int num2 = 1; int numn = 1; int n = 10; for (int I = 3; I <= n; I ++) {numn = num1 + num2; num1 = num2; num2 = numn;} System. err. result of println (n + "number:" + numn );}}
The running result is:
Result of 10 numbers: 34
This is an operation using a normal cyclic method. If recursion is used, it is as follows:
public static int Recursion(int n){ if(n==1){ return 0; } if(n==2){ return 1; } return Recursion(n-1)+Recursion(n-2); }
Recursion requires an end condition. In this case, recursion does not need to continue calling and end recursion. When n = 1 or 2, 0 or 1 is returned, rather than calling the recursive method itself.
The two most important conditions for recursion are the conditions for self-calling and ending recursion.
Recursion is a waste of resources because it is called by itself. The running time is much longer than the loop, and the operation is slow and the efficiency is low.
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