I'm learning recursion now, and I thought I quite understood how recursion works, and then I saw this code, and my head is about to explode.
I know this simple recursion works like
public void recursivePrint(int number){
if(number == 0{
return;
}
System.out.println(number + " ");
recursivePrint(number - 1);
}
If the parameter "number"'s value is 2.
public void recursivePrint(2){
if(number == 0{
return;
}
System.out.print(2 + " ");
recursivePrint(2 - 1);
}
public void recursivePrint(1){
if(number == 0{
return;
}
System.out.print(1 + " ");
recursivePrint(1 - 1);
}
and then stops because it meets its base case.
What about this print all permutations of a string function?
private void permute(String str, int l, int r)
{
if (l == r)
System.out.println(str);
else
{
for (int i = l; i <= r; i++)
{
str = swap(str,l,i);
permute(str, l+1, r);
str = swap(str,l,i);
}
}
}
There is a recursive call inside a for loop. If the input value is "ab", how does this recursion function work? Can you explain as I wrote above?
I got this code form geeksforgeeks, and there's a video for this, but I can't understand this since I don't know how loop works in recursion.
Using permute function you are generating strings where lth char is being replaced by one of the char following it. With the for loop inside it, you are touching onto each of those following characters one at a time.
With several call to permute, you are able to advance till the end position of the string, and that end is checked by if (l == r)
Take the case of abc.
abc
/ | \
Level 1 a(bc) b(ac) c(ba) (Here three new call to permute are made out of permute with l=1)
Goes on...
FYI, permutation isn't that simple to understand if you are new to recursion or programming. For easy understanding use pen-paper.
Recursion occurs when a method calls itself. Such a method is called recursive. A recursive method may be more concise than an equivalent non-recursive approach. However, for deep recursion, sometimes an iterative solution can consume less of a thread's finite stack space.
What is recursion:
In general, recursion is when a function invokes itself, either directly or indirectly. For example:
// This method calls itself "infinitely"
public void useless() {
useless(); // method calls itself (directly)
}
Conditions for applying recursion to a problem:
There are two preconditions for using recursive functions to solving a specific problem:
There must be a base condition for the problem, which will be the endpoint for the recursion. When a
recursive function reaches the base condition, it makes no further (deeper) recursive calls.
Each level of recursion should be attempting a smaller problem. The recursive function thus divides the problem into smaller and smaller parts. Assuming that the problem is finite, this will ensure that the recursion terminates.
In Java there is a third precondition: it should not be necessary to recurse too deeply to solve the problem;
The following function calculates factorials using recursion. Notice how the method factorial calls itself within the function. Each time it calls itself, it reduces the parameter n by 1. When n reaches 1 (the base condition) the function will recurse no deeper.
public int factorial(int n) {
if (n <= 1) { // the base condition
return 1;
} else {
return n * factorial(n - 1);
}
}
Related
I'm starting learning Java. I have a task to make a recursion function. I was looking for information about recursion in Java and found some interesting code. I can't understand, when n equals 10, why n after "return" n equals 9. And then, when k equals 9, after "return" k = 10.
public class lvl22666 {
public static void main(String[] args) {
recTest(0,10);
}
static void recTest(int n, int k) {
if (n == k) {
return;
} else {
if (n < k) {
n++;
System.out.println(n + " " + k);
recTest (n,k);
}
if (k > n) {
k--;
System.out.println(n + " " + k);
recTest (n,k);
}
}
}
}
All recursive methods have three things:
An exit condition, to prevent an endless loop
A work item, and
A recursive call.
The exit condition in your recursive function is:
if (n == k)
return;
The work item is:
n++;
System.out.println(n + " " + k);
Unless k is greater than n, in which case the work item is:
k--;
System.out.println(n + " " + k);
The recursive call is:
recTest (n,k);
Note that, since a return early-exits you out of the method, the else statement is not required.
To understand the behavior of a recursive method, you must first understand what a stack frame is, how the stack works, and how it serves to preserve state between method calls.
When Java prepares to call a method, it puts the calling methods' local variables including its parameters (collectively, the method's "state") and the return address of the calling method into a stack frame, and pushes that stack frame onto the stack. It then calls the new method.
When Java returns from a method, it pops the stack frame off the stack, restoring the calling method's original state.
A stack is like the stack of plates you see in the carousel at a 50's diner; the first plate off the stack is the last plate the dish washer put there. We call this a last-in, first-out (LIFO) queue.
With a little imagination, you can see how successive calls to a recursive method will keep a running history of any changes made to the state during each recursion. Since a copy of the state is saved during each recursion, you can walk back to a previous step in the state by returning from a method call.
What this function does is iterate through it, until n equals k.
if (n == k) {
return;
This checks if n equals k and returns to the main function, if this is true.
If not, it checks which of the two numbers is smaller and adds it by one.
After doing that, the function calls itself with the new values of n and k and the whole function repeats. As stated earlier, this is done until n is equal to k which triggers a return. This exits the function and jumps to the next line of code (after recTest(0,10);).
If you have any further questions don't be afraid to ask!
I am preparing for interviews. I used to practice couple of interview questions every day. but sometimes when the things don't get me I use internet as a reference.
Now here in this case of question which says,
Q Write a program to delete middle element of stack without using data structure?
Now here I stuck at the 38th line which says
char x = st.pop();
Here how char is storing the past values, as it is not mention array how this is possible.?
//Java code to delete middle of a stack
package my.project;
import java.io.*;
import java.util.*;
public class GFG {
public static void main(String args[])
{
Stack<Character> st =
new Stack<Character>();
st.push('1');
st.push('2');
st.push('3');
st.push('4');
st.push('5');
st.push('6');
st.push('7');
deleteMid(st, st.size(), 0);
while (!st.empty())
{
char p=st.pop();
System.out.print(p + " ");
}
}
static void deleteMid(Stack<Character> st,int n, int curr)
{
if (st.empty() || curr == n)
return;
char x = st.pop();
deleteMid(st, n, curr+1);
if (curr != n/2)
st.push(x);
}
}
Here:
static void deleteMid(Stack<Character> st,int n, int curr)
{
...
char x = st.pop();
You have a recursive method that uses a local variable. When you recursively invoke the same method again, another method stack is created. Space for another x is assigned.
That is a basic concept of any programming language: when you invoke a function/method, then you reserve some amount of memory for that specific call. Doing so forms the call stack btw.
So, in other words: by recursively calling this method, you can create a "temp" storage: each method invocation will remember its value of x. So, each call to deleteMid() has its separate independent char x. Therefore the "stored" value is still in x when the recursive call comes back.
your program uses a recursive call 'deleteMid()'.
I suggest you to read recursive Tree concept. The best way to understand recursive method is to try with Fibonacci program and draw recursive tree.
you need to understand the storage value associated with each recursive call.
char x = st.pop();
X has different value for each recursive call and when you reach your terminating condition
if (st.empty() || curr == n)
return;
recursive call traverse back and executes the statements
if (curr != n/2)
st.push(x);
}
there are many questions about how to convert recursive to non-recursive, and I also can convert some recursive programs to non-recursive form
note: I use an generalized way (user defined Stack), because I think it is easy to understand, and I use Java, so can not use GOTO keyword.
Things don't always go so well, when I meet the Backtracking, I am stuck. for example, The subset problem. and my code is here: recursive call with loop
when i use user defined Stack to turn it to non-recursive form. I do not know how to deal with the loop (in the loop existing recursive call).
I googled found that there is many methods such as CPS. and I know there is an iterative template of subset problem. but i only want to use user defined Stack to solve.
Can someone provide some clues to turn this kind of recursive(recursive with loop) to non-recursive form(by using user defined Stack, not CPS etc..) ?
here is my code recursive to non-recusive(Inorder-Traversal), because of there is no loop with recursive call, so i can easily do it. also when recursive program with a return value, I can use a reference and pass it to the function as a param. from the code, I use the Stack to simulated the recursive call, and use "state" variable to the next call point(because java does not allow using GOTO).
The following is the information I have collected. It seems that all of them does not satisfy the question I mentioned(some use goto that java not allowed, some is very simple recursive means that no nested recursive call or recursive call with loop ).
1 Old Dominion University
2 codeproject
----------------------------------Split Line--------------------------------------
Thks u all. after when I post the question... It took me all night to figure it out. here is my solution: non-recursive subset problem solution, and the comment of the code is my idea.
To sum up. what i stuck before is how to deal with the foo-loop, actually, we can just simply ignore it. because we are using loop+stack, we can do a simple judgment on whether to meet the conditions.
On your stack, have you thought about pushing i (the iteration variable)?
By doing this, when you pop this value, you know at which iteration of the loop you were before you pushed on the stack and therefore, you can iterate to the next i and continue your algorithm.
Non-negative numbers only for simplicity. (Also no IntFunction.)
The power function, as defined here, is a very simple case.
int power(int x, int exponent) {
if (exponent == 0) {
return 1;
} else if (exponent % 2 == 0) {
int y = power(x, exponent /2);
return y * y;
} else {
return x * power(x, exponent - 1);
}
}
Now the stack is there to do in the reverse order to a partial result, what you did in recursion with the result.
int power(final int x, int exponent) {
Stack<Function<Integer, Integer>> opStack = new Stack<>();
final Function<Integer, Integer> square = n -> n * n;
final Function<Integer, Integer> multiply = n -> x * n;
while (exponent > 0) {
if (exponent % 2 == 0) {
exponent /= 2;
opStack.push(square);
} else {
--exponent;
opStack.push(multiply);
}
}
int result = 1;
while (!opStack.isEmpty()) {
result = opStack.pop().apply(result);
}
return result;
}
An alternative would be to "encode" the two branches of if-else (odd/even exponent) by a boolean:
int power(final int x, int exponent) {
BooleanStack stack = new BooleanStack<>();
while (exponent > 0) {
boolean even = exponent % 2 == 0;
stack.push(even);
if (even) {
exponent /= 2;
} else {
--exponent;
}
}
int result = 1;
while (!stack.isEmpty()) {
result *= stack.pop() ? result : x;
}
return result;
}
So one has to distinghuish:
what one does to prepare the recursive arguments
what one does with the partial results of the recursive calls
how one can merge/handle several recursive calls in the function
exploit nice things, like x being a final constant
Not difficult, puzzling maybe, so have fun.
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My job is to write a recursive version to this method. From what I understand Recursion is starting with a base call (if something then return) followed by an else which unwinds back to the original base. Like starting with a deck, adding on to the deck then removing cards from the deck until you are back to the original deck.
With that in mind here it is.
public static long fact(int n)
{
long result = 1;
while(n > 0)
{
result = result * n;
n = n - 1;
}
return result;
}
//my recursive version:
public static void recFact(int n)
{
if(n==0)
{
return n; // ir 0 it really doesn't matter right?
}
else
{
return recFact(n-1);
}
}
This is just an example test problem for an exam I have coming up, just want to make sure I have a handle on recursion. Did I do this right? If not what am I missing? please no answers in questions, just tell me what I did wrong and maybe some advice on better ways to understand it.
Thanks.
No, this recursive solution is not correct.
For every positive n, you're just return rectFact(n-1), which will recourse until you reach 0, at which point it will return. In other words, your function will always return 0. You're missing the part where you multiply the current n with rectFact(n-1). Additionally, note that 0! is 1, not 0:
public static int recFact(int n)
{
if(n==0)
{
return 1;
}
else
{
return n * recFact(n-1);
}
}
And finally, since the if clause returns, the else is somewhat redundant. This doesn't affect the method's correctness, of course, but IMHO the code looks cleaner without it:
public static int recFact(int n)
{
if(n==0)
{
return 1;
}
return n * recFact(n-1);
}
Your recursive version does no multiplication, and it will return zero for any input. So no, you didn't do it right.
But, the recursive version DOES recurse, so you have that going for you! To understand what's going wrong, walk through a very simple case.
Client calls recFact(3)
This will return to client recFact(2)
Which will return to above recFact(1)
Which will return to above recFact(0)
Which will return to above 0.
There are two major things going wrong:
Your base case is wrong (zero is too low)
You're not doing any multiplication
Good attitude about not wanting the solution handed to you! Hopefully these pointers wil help you figure it out.
EDIT: Apparently I misunderstood your grammar and you did want the solution.
Any recursive function needs three things:
The terminating condition: This tells the function when to stop calling itself. This is very important to avoid infinite recursion and avoid stack overflow exceptions.
The actual processing: You need to run the actual processing within each function. In your non recursive case, this was result = result * n. This is missing from your recursive version!
A collector/agggregator variable: You need some way to store the partial result of the recursive calls below you. So you need some way to return the result of recFact so that you can include it in processing higher up in the call chain. Note that you say return recFact(n - 1) but in the definition recFact returns void. That should probably be an int.
Based from your example you are missing the return type of your recFact which is int
Also recFact will always return 0 because you are not multiplying n each time to the recursion call of the method.
There are two ways to write recursive routines. One is the "standard" way that we all are taught. This is one entry point that must first check to see if the recursive chain is at an end (the escape clause). If so, it returns the "end of chain" value and ends the recursion. If not at the end, it performs whatever calculation it needs to get a partial value according to the level and then calls itself passing a value the next increment closer to the end of the chain.
private final int InitialValue = 15;
System.out.println( "Fact(" + InitialValue + ") = " + recFact( InitialValue ) );
public int recFact( int val ){
if( val < 2 ){
return 1;
}
else{
return recFact( val - 1 ) * val; // recursive call
}
}
//Output: "Fact(15) = 2004310016"
In regular recursion, a partial answer is maintained at each level which is used to supplement the answer from the next level. In the code above, the partial answer is val. When first called, this value is 15. It takes this value and multiplies it by the answer from Fact(14) to supply the complete answer to Fact(15). Fact(14) got its answer by multiplying 14 by the answer it got from Fact(13) and so on.
There is another type of recursion called tail recursion. This differs in that partial answers are passed to the next level instead of maintained at each level. This sounds complicated but in actuality, make the recursion process much simpler. Another difference is that there are two routines, one is non recursive and sets up the recursive routine. This is to maintain the standard API to users who only want to see (and should only have to see)
answer = routine( parameter );
The non-recursive routines provides this. It is also a convenient place to put one-time code such as error checking. Notice in the standard routine above, if the user passed in -15 instead of 15, the routine could bomb out. That means that in production code, such a test must be made. But this test will be performed every time the routine is entered which means the test will be made needlessly for all but the very first time. Also, as this must return an integer value, it cannot handle an initial value greater than 19 as that will result in a value that will overflow the 32-bit integer container.
public static final int MaxFactorialSeq = 20;
private final int InitialValue = 15;
System.out.println( "Fact(" + InitialValue + ") = " + recFact( InitialValue ) );
public int recFact( int value ){
if( value < 0 || value > MaxFactorialSeq ){
throw new IllegalArgumentException(
"Factorial sequence value " + value + " is out of range." );
}
return recFact( value, 1 ); // initial invocation
}
private int recFact( int val, int acc ){
if( val < 2 ){
return acc;
}
else{
return recFact( val - 1, acc * val ); // recursive call
}
}
//Output: "Fact(15) = 2004310016"
Notice the public entry point contains range checking code. This is executed only once and the recursive routine does not have to make this check. It then calls the recursive version with an initial "seed" of 1.
The recursive routine, as before, checks to see if it is at the end of the chain. If so, it returns, not 1 as before, but the accumulator which at this point has the complete answer. The call chain then just rewinds back to the initial entry point in the non-recursive routine. There are no further calculations to be made as the answer is calculated on the way down rather than on the way up.
If you walk though it, the answer with standard recursion was reached by the sequence 15*14*13*...*2*1. With tail recursion, the answer was reached by the sequence 1*15*14*...*3*2. The final answer is, of course, the same. However, in my test with an initial value of 15, the standard recursion method took an average of 0.044 msecs and the tail recursion method took an average of 0.030 msecs. However, almost all that time difference is accounted for by the fact that I have the bounds checking in my standard recursion routine. Without it, the timing is much closer (0.036 to 0.030) but, of course, then you don't have error checking.
Not all recursive routines can use tail recursion. But then, not all recursive routines should be. It is a truism that any recursive function can be written using a loop. And generally should be. But a Factorial function like the ones above can never exceed 19 levels so they can be added to the lucky few.
The problem with recursion is that to understand recursion you must first understand recursion.
A recursive function is a function which calls itself, or calls a function which ultimately calls the first function again.
You have the recursion part right, since your function calls itself, and you have an "escape" clause so you don't get infinite recursion (a reason for the function not to call itself).
What you are lacking from your example though is the actual operation you are performing.
Also, instead of passing a counter, you need to pass your counter and the value you are multiplying, and then you need to return said multiplied value.
public static long recFact(int n, long val)
{
if(n==1)
{
return val;
}
else
{
return recFact(n-1, val) * n;
}
}
I can't seem to figure this one out. I need to count how many numbers below a given number in which it is divisible.
Here is what I've tried:
public int testing(int x) {
if (x == 0) {
System.out.println("zero");
return x;
}
else if ((x % (x-1)) == 0) {
System.out.println("does this work?");
x--;
}
return testing(x-1);
}
That doesn't work and I don't know where to go from here. Anyone know what to do?
This is what is wrong:
public int testing(int x) {
If you want to make it recursive, you need to pass both the number to test and the number that you are currently checking. The first one will not change through the recursion, the second one will decrement. You cannot do what you express with only one parameter (unless you use a global variable).
This is not a task that should be solved with recursion.
If you MUST use recursion, the simplest way to do it is to have a second parameter, which is essentially an "I have checked until this number". Then you can increase/decrease this (depending on if you start at 0 or the initial number) and call the recursive on that.
Thing is, Java isn't a functional language, so doing all this is actually kind of dumb, so whoever gave you this exercise probably needs a bop on the head.
Your problem is that your expression x % (x - 1) is using the "current" value of x, which decrements on every call to the recursive function. Your condition will be false all the way down to 2 % (2 - 1).
Using a for loop is a much better way to handle this task (and look at the Sieve of Eratosthenes), but if you really have to use recursion (for homework), you'll need to pass in the original value being factored as well as the current value being tried.
You have a problem with your algorithm. Notice the recursion only ends when x == 0, meaning that your function will always return 0 (if it returns at all).
In addition, your algorithm doesn't seem to make any sense. You are basically trying to find all factors of a number, but there's only one parameter, x.
Try to make meaningful names for your variables and the logic will be easier to read/follow.
public int countFactors(int number, int factorToTest, int numFactors)
{
if (factorToTest == 0) // now you are done
return numFactors;
else
// check if factorToTest is a factor of number
// adjust the values appropriately and recurse
}
There is no need to use recursion here. Here's a non-recursive solution:
public int testing(int n) {
int count = 0;
for (int i = 1; i < n; i++)
if (n % i == 0)
count++;
return count;
}
BTW, you should probably call this something other than testing.
Using recursion:
private static int getFactorCount(int num) {
return getFactorCount(num, num - 1);
}
private static int getFactorCount(int num, int factor) {
return factor == 0 ? 0 : (num % factor == 0 ? 1 : 0)
+ getFactorCount(num, factor - 1);
}
public static void main(String[] args) {
System.out.println(getFactorCount(20)); // gives 5
System.out.println(getFactorCount(30)); // gives 7
}