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How to recursively calculate a number raised to a power?

I have tried:
static public void power(int n, int X) {
System.out.print( + " ");
if (n>0) {
power(n-1, X);
}
}
This does not yield a value as I'm not sure how to do that.

public int calculatePower(int base, int powerRaised)
{
if (powerRaised != 0)
return (base*calculatePower(base, powerRaised-1));
else
return 1;
}

static int power(int x, int y)
{
// Initialize result
int temp;
if( y == 0) // Base condition
return 1;
temp = power(x, y/2); // recursive calling
if (y%2 == 0) //checking whether y is even or not
return temp*temp;
else
return x*temp*temp;
}
Well others have written solution which gives you correct answer but their time complexity is O(n) as you are decreasing the power only by 1. Below solution will take less time O(log n). The trick here is that
x^y = x^(y/2) * x^(y/2)
so we only need to calculate x^(y/2) and then square it. Now if y is even then there is not problem but when y is odd we have to multiply it with x. For example
3^5 = 3^(5/2) * 3^(5/2)
but (5/2) = 2 so above equation will become 3^2 * 3^2, so we have to multiply it with 3 again then it will become 3 * 3^(5/2) * 3^(5/2)
then 3^2 will be calculated as 3^(2/1) * (3^2/1) here it no need to multiply it with 3.

public static double pow(int a, int pow) {
if (pow == 0)
return 1;
if (pow == 1)
return a;
if (pow == -1)
return 1. / a;
if (pow > 1)
return a * pow(a, pow - 1);
return 1. / (a * pow(a, -1 * (pow + 1)));
}

Considering X as number and n as power and if both are positive integers
public static int power(int n, int X) {
if (n == 0) {
return 1;
} else if(n == 1) {
return X;
} else {
return X * power(n-1, X);
}
}

Let's re-write your function:
static public void power(int n, int X) {
System.out.print( + " ");
if (n>0) {
power(n-1, X);
}
}
First of all, lets change void to int.
Afterthat, when n equals to 1, we return the result as X, because X^1 = X:
static public int power(int n, int X) {
if (n>1) {
return X * power(n-1, X);
}
return X;
}

Scanner s = new Scanner(System.in) ;
System.out.println("Enter n");
int n = s.nextInt();
System.out.println("Enter x");
int x =s.nextInt();
if (n>0){
double pow =Math.pow(n,x);
System.out.println(pow);
}

While others have given you solutions in terms of code, I would like to focus on why your code didn't work.
Recursion is a programming technique in which a method (function) calls itself. All recursions possess two certain characteristics:
When it calls itself, it does so to solve a smaller problem. In your example, to raise X to the power N, the method recursively calls itself with the arguments X and N-1, i.e. solves a smaller problem on each further step.
There's eventually a version of the problem which is trivial, such that the recursion can solve it without calling itself and return. This is called base case.
If you are familiar with mathematical induction, recursion is its programming equivalent.
Number two above is what your code is lacking. Your method never returns any number. In the case of raising a number to a power, the base case would be to solve the problem for the number 0 as raising zero to any power yields one, so the code does not need to call itself again to solve this.
So, as others have already suggested, you need two corrections to your code:
Add a return type for the method.
State the base case explicitly.

public class HelloWorld{
public long powerfun(int n,int power,long value){
if(power<1){
return value;
}
else{
value = value * n;
return powerfun(n,power-1,value);
}
}
public static void main(String []args){
HelloWorld hello = new HelloWorld();
System.out.println(hello.powerfun(5,4,1));
}
}

I've tried to add comments to explain the logic to you.
//Creating a new class
public class RecursivePower {
// Create the function that will calculate the power
// n is the number to be raised to a power
// x is the number by which we are raising n
// i.e. n^x
public static int power(int n, int x){
// Anything raised to the 0th power is 1
// So, check for that
if (x != 0){
// Recursively call the power function
return (n * power(n, x-1));
// If that is true...
}else{
return 1;
} //end if else
} //end power
// Example driver function to show your program is working
public static void main(String[] args){
System.out.println("The number 5 raised to 6 is " + power(5,6));
System.out.println("The number 10 raised to 3 is " + power(10,3));
} //end psvm
} //end RecursivePower

How to find out if two numbers are relatively prime?

I'm trying to write a method that will calculate if two numbers are relatively prime for an assignment. I'm primarily looking for answers on where to start. I know there is a method gcd() that will do a lot of it for me, but the assignment is pretty much making me do it without gcd or arrays.
I kind of have it started, because I know that I will have to use the % operator in a for loop.
public static boolean relativeNumber(int input4, int input5){
for(int i = 1; i <= input4; i++)
Obviously this method is only going to return true or false because the main function is only going to print a specific line depending on if the two numbers are relatively prime or not.
I'm thinking I will probably have to write two for loops, both for input4, and input5, and possibly some kind of if statement with a logical && operand, but I'm not sure.

Well in case they are relatively prime, the greatest common divider is one, because - if otherwise - both numbers could be devided by that number. So we only need an algorithm to calculate the greatest common divider, for instance Euclid's method:
private static int gcd(int a, int b) {
int t;
while(b != 0){
t = a;
a = b;
b = t%b;
}
return a;
}
And then:
private static boolean relativelyPrime(int a, int b) {
return gcd(a,b) == 1;
}
Euclid's algorithm works in O(log n) which thus is way faster than enumerating over all potential divisors which can be optimized to O(sqrt n).

Swift 4 code for #williem-van-onsem answer;
func gcd(a: Int, b: Int) -> Int {
var b = b
var a = a
var t: Int!
while(b != 0){
t = a;
a = b;
b = t%b;
}
return a
}
func relativelyPrime(a : Int, b: Int) -> Bool{
return gcd(a: a, b: b) == 1
}
Usage;
print(relativelyPrime(a: 2, b: 4)) // false

package stack;
import java.util.Scanner; //To read data from console
/**
*
* #author base
*/
public class Stack {
/**
* #param args the command line arguments
*/
public static void main(String[] args) {
Scanner in = new Scanner(System.in); // with Scanner we can read data
int a = in.nextInt(); //first variable
int b = in.nextInt(); //second variable
int max; // to store maximum value from a or b
//Let's find maximum value
if (a >= b) {
max = a;
} else {
max = b;
}
int count = 0; // We count divisible number
for (int i=2; i<=max; i++) { // we start from 2, because we can't divide on 0, and every number divisible on 1
if (a % i == 0 && b % i==0) {
count++; //count them
}
}
if (count == 0) { // if there is no divisible numbers
System.out.println("Prime"); // that's our solutions
} else {
System.out.println("Not Prime"); //otherwise
}
}
}
I think that, this is the simple solution. Ask questions in comments.

Using Recursion to reverse an integer without the use of strings

I have been trying this for some time now but could not get it to work. I am trying to have a method to reverse an integer without the use of strings or arrays. For example, 123 should reverse to 321 in integer form.
My first attempt:
/** reverses digits of integer using recursion */
public int RevDigs(int input)
{
int reverse = 0;
if(input == 0)
{
return reverse;
}
int tempRev = RevDigs(input/10);
if(tempRev >= 10)
reverse = input%10 * (int)Math.pow(tempRev/10, 2) + tempRev;
if(tempRev <10 && tempRev >0)
reverse = input%10*10 + tempRev;
if(tempRev == 0)
reverse = input%10;
return reverse;
}//======================
I also tried to use this, but it seems to mess up middle digits:
/** reverses digits of integer using recursion */
public int RevDigs(int input)
{
int reverse = 0;
if(input == 0)
{
return reverse;
}
if(RevDigs(input/10) == 0)
reverse = input % 10;
else
{
if(RevDigs(input/10) < 10)
reverse = (input % 10) *10 + RevDigs(input/10);
else
reverse = (input % 10)* 10 * (RevDigs(input/10)/10 + 1) + RevDigs(input/10);
}
return reverse;
}
I have tried looking at some examples on the site, however I could not get them to work properly. To further clarify, I cannot use a String, or array for this project, and must use recursion. Could someone please help me to fix the problem. Thank you.

How about using two methods
public static long reverse(long n) {
return reverse(n, 0);
}
private static long reverse(long n, long m) {
return n == 0 ? m : reverse(n / 10, m * 10 + n % 10);
}
public static void main(String... ignored) {
System.out.println(reverse(123456789));
}
prints
987654321

What about:
public int RevDigs(int input) {
if(input < 10) {
return input;
}
else {
return (input % 10) * (int) Math.pow(10, (int) Math.log10(input)) + RevDigs(input/10);
/* here we:
- take last digit of input
- multiply by an adequate power of ten
(to set this digit in a "right place" of result)
- add input without last digit, reversed
*/
}
}
This assumes input >= 0, of course.

The key to using recursion is to notice that the problem you're trying to solve contains a smaller instance of the same problem. Here, if you're trying to reverse the number 13579, you might notice that you can make it a smaller problem by reversing 3579 (the same problem but smaller), multiplying the result by 10, and adding 1 (the digit you took off). Or you could reverse the number 1357 (recursively), giving 7531, then add 9 * (some power of 10) to the result. The first tricky thing is that you have to know when to stop (when you have a 1-digit number). The second thing is that for this problem, you'll have to figure out how many digits the number is so that you can get the power of 10 right. You could use Math.log10, or you could use a loop where you start with 1 and multiply by 10 until it's greater than your number.

package Test;
public class Recursive {
int i=1;
int multiple=10;
int reqnum=0;
public int recur(int no){
int reminder, revno;
if (no/10==0) {reqnum=no;
System.out.println(" reqnum "+reqnum);
return reqnum;}
reminder=no%10;
//multiple =multiple * 10;
System.out.println(i+" i multiple "+multiple+" Reminder "+reminder+" no "+no+" reqnum "+reqnum);
i++;
no=recur(no/10);
reqnum=reqnum+(reminder*multiple);
multiple =multiple * 10;
System.out.println(i+" i multiple "+multiple+" Reminder "+reminder+" no "+no+" reqnum "+reqnum);
return reqnum;
}
public static void main(String[] args) {
// TODO Auto-generated method stub
int num=123456789;
Recursive r= new Recursive();
System.out.println(r.recur(num));
}
}

Try this:
import java.io.*;
public class ReversalOfNumber {
public static int sum =0;
public static void main(String args []) throws IOException
{
System.out.println("Enter a number to get Reverse & Press Enter Button");
BufferedReader reader = new BufferedReader(new InputStreamReader(System.in));
String input = reader.readLine();
int number = Integer.parseInt(input);
int revNumber = reverse(number);
System.out.println("Reverse of "+number+" is: "+revNumber);
}
public static int reverse(int n)
{
int unit;
if (n>0)
{
unit = n % 10;
sum= (sum*10)+unit;
n=n/10;
reverse(n);
}
return sum;
}
}

Recursive Exponent Method

public static int exponent(int baseNum) {
int temp = baseNum *= baseNum;
return temp * exponent(baseNum);
}
Right now the method above does n * n into infinity if I debug it, so it still works but I need this recursive method to stop after 10 times because my instructor requires us to find the exponent given a power of 10.
The method must have only one parameter, here's some examples of calling exponent:
System.out.println ("The power of 10 in " + n + " is " +
exponent(n));
So output should be:
The power of 10 in 2 is 1024
OR
The power of 10 in 5 is 9765625

Do something like
public static int exp(int pow, int num) {
if (pow < 1)
return 1;
else
return num * exp(pow-1, num) ;
}
public static void main (String [] args) {
System.out.println (exp (10, 5));
}
and do not forget the base case (i.e a condition) which tells when to stop recursion and pop the values from the stack.

Create an auxiliary method to do the recursion. It should have two arguments: the base and the exponent. Call it with a value of 10 for the exponent and have it recurse with (exponent-1). The base case is exponent == 0, in which case it should return 1. (You can also use exponent == 1 as a base case, in which case it should return the base.)

The following is what my instructor, Professor Penn Wu, provided in his lecture note.
public class Exp
{
public static int exponent(int a, int n)
{
if (n==0) { return 1; } // base
else // recursion
{
a *= exponent(a, n-1);
return a;
}
}
public static void main(String[] args)
{
System.out.print(exponent(2, 10));
}
}

Shouldn't it have 2 parameter and handle exit condition like below?
public static int exponent(int baseNum, int power) {
if(power == 0){
return 1;
}else{
return baseNum * exponent(baseNum, power-1);
}
}

For recursion function, we need to :
check stopping condition (i.e. when exp is 0, return 1)
call itself with adjusted condition (i.e. base * base^(n-1) )
Here is the code.
public class Test
{
public static int exponent(int baseNum, int exp)
{
if (exp<=0)
return 1;
return baseNum * exponent(baseNum, --exp);
}
public static void main(String a[])
{
int base=2;
int exp =10;
System.out.println("The power of "+exp+" in "+base+" is "+exponent(base,exp));
}
}

Don't forget , for each recursive function , you need a base case. A stop condition`
static double r2(float base, int n)
{
if (n<=0) return 1;
return base*r2(base,n-1);
}

I came here accidentally, and I think one could do better, as one would figure out easily that if exp is even then x^2n = x^n * x^n = (x^2)^n, so rather than computing n^2-1 recursions, you can just compute xx and then call pow(x,n) having n recursions and a product. If instead the power is odd, then we just do xpow(x, n-1) and make the power even again. But, as soon as now n-1 is even, we can directly write xpow(xx, (n-1)/2) adding an extra product and using the same code as for the even exponent.
int pow_( int base, unsigned int exp ) {
if( exp == 0 )
return 1;
if( exp & 0x01 ) {
return base * pow_( base*base, (exp-1)/2 );
}
return pow_( base*base, exp/2 );
}

Project Euler #3 Java Solution Problem

class eulerThree {
public static void main(String[] args) {
double x = 600851475143d;
for (double z = 2; z*z <= x; z++) {
if (x%z == 0) {
System.out.println(z + "PRIME FACTOR");
}
}
}
}
and the output is:
71.0
839.0
1471.0
6857.0
59569.0
104441.0
486847.0
So, I assume 486847 is the largest prime factor of x, but project euler says otherwise. I don't see a problem in my code or my math, so I'm pretty confused. Can you see anything I can't?

Firstly, you have to use an accurate arithmetic means. Others have suggested using BigInteger. You can do this. To me, it feels a bit like cheating (this will be more important for later problems that deal with much larger integers) so the more fun way (imho) is to write the necessary arbitrary precision operations yourself.
Second, 600851475143 is small enough to be done accurate with a long, which will be much faster.
Third, your loop isn't correctly checking for prime factors. You're just checking odd numbers. This is a barebones (incomplete) solution:
long num = 600851475143L;
List<Long> factors = new ArrayList<Long>(); // or use a Set
if (num & 1 == 0) {
factors.add(2L);
}
for (long i=3; i*i<=num; i+=2) {
// first check i is prime
// if i is prime check if it is a factor of num
}
Checking if something is prime has differing levels of implementation. The most naive:
public boolean isPrime(long num) {
for (long i=2; i<=num; i++) {
if (num % i == 0) {
return false;
}
}
return true;
}
Of course that does all sorts of unnecessary checking. As you've already determined you only need to check numbers up to sqrt(n) and you can eliminate even numbers (other than 2):
public boolean isPrime(long num) {
if (num & 1 == 0) {
return false; // checks divisibility by 2
}
for (long i=3; i*i<=num; i+=2) {
if (num % i == 0) {
return false;
}
}
return true;
}
But you can do better than this as well. Another optimization is that you only need to check a number by prime numbers within that range. The prime factors of 63 are 3 and 7. If a number isn't divisible by 3 or 7 then it by definition won't be divisible by 63.
So what you want to do is build up probably a Set<Long> or prime numbers until the square is equal to or higher than your target number. Then just check this series of numbers for divisibility into the target.

double is inherently inaccurate for large values and should never be used for these type of number operations. The right class to use is BigInteger, which allows arbitrarily large integral values to be represented precisely. See this wikipedia article for a description on what floating point data types are and are not.

First, use BigInteger or long rather than double. Double isn't exact, and as you get to later problems, it won't be correct at all.
Second, what you're printing is factors, not prime factors.
This will work in your case:
for (double z = 2; z <= x; z++) {
if (x%z == 0) {
while( x%z == 0)
x = x/z
System.out.println(z + "PRIME FACTOR");
}
}
Also, Project Euler gives you sample input and output. Use that, since your code doesn't output values that match the example they give in the problem.

Two things:
Don't use double, the bigger the numbers the less precision it has. Instead you can use BigInteger to store arbitrarily large integers, or in this case a simple long will suffice.
You need to divide by the prime factor after you find it, otherwise you'll find all factors not just prime factors. Something like this:
if (x % z == 0) {
System.out.println(z + "PRIME FACTOR");
x /= z;
z -= 1; // Might be present multiple times, try it again
}

public class Prime {
public static void main(String[] args) {
double out = 0;
double m = 600851475143d;
for (double n = 3; n < m; n += 2) {
while (m % n == 0) {
out = n;
m = m / n;
}
}
System.out.println("" + ((m == 1)?out:m));
}
}
See the program. And you'll understand the algorithm. This is very easy and very fast. And return the correct answer 6857.

import java.util.Scanner;
class Primefactor
{
public static void main(String args[])
{
Scanner get=new Scanner(System.in);
System.out.println("Enter a number");
long number=get.nextLong();
int count=0;
long input=number;
for(long i=number;i>=1;number--)
{
for(long j=number;j>=1;j--)
{
if(i%j==0)
{
count++;
}
if(count==2)
{
if(input%j==0)
{
System.out.println(j);
}
}
}
}
}
}
This is to see largest primefactor of any number within the datatype limit.

public static void largestPrimeNo(long lim)
{
long newNum = lim;
long largestFact = 0;
int counter = 2;
while( counter * counter <= newNum )
{
if(newNum % counter == 0)
{
newNum = newNum / counter;
largestFact = counter;
}else{
counter++;
}
}
if(newNum > largestFact)
{
largestFact=newNum;
}
System.out.println(largestFact);
}
}
as Prime no is work on the principle that Any integer greater than 1 is either a prime number, or can be written as a unique product of prime numbers.So we can easily use above program.In this program we divide the long no,and find its prime factor

package findlaragestprimefactor;
public class FindLaragestPrimeFactor{
boolean isPrime(long number) {
for (long divider = 2; divider <= number / 2; divider++) {
if (number % divider == 0) {
return false;
}
}
return true;
}
void calculateLargestPrimeFactor() {
long largestPrimeFactor = 0;
long x = 600851475143L;
for(long factor = 3 ; factor <= x/2 ; factor = factor + 2){
if(x%factor==0 & factor>largestPrimeFactor & isPrime(factor)){
largestPrimeFactor = factor;
}
}
System.out.println(largestPrimeFactor);
}
public static void main(String[] args) {
MyProject m = new MyProject();
m.calculateLargestPrimeFactor();
}
}

long tNum=600851475143L;
ArrayList<Integer> primeNum=new ArrayList();
System.out.println(10086647/1471);
for(int i=2;i<=tNum;i++) {
if(tNum%i==0) {
primeNum.add(i);
tNum=tNum/i;
}
}
System.out.println(primeNum);