element of a Linked List - java

Can someone please explain In Java how do you find middle element of a linked list in single pass?
I have googled it, but cannot seem to find a simple explanation on how to code it.

LinkedList<String> list = new LinkedList<>();
list.add("foo");
list.add("bar");
list.add("baz");
String middle = list.get(list.size()/2);
System.out.println(middle); // bar
The call to assign middle will pass through half of the list during the get call.
As pointed out in the comments, the middle is the worst place to operate on a LinkedList. Consider using another variation, such as ArrayList.

I think this is a sort of trick question that you see on lists of possible interview questions.
One solution would be to have two pointers to step through the list, one taking steps of two and one taking steps of one.
When the pointer that is taking two steps at a time reaches the end of the list, the one taking only one step will be halfway through.
I doubt that this practice is really useful though..
good luck!

Since it's a LinkedList, you won't be able to find out its size until after the first (and only) pass. To find the middle element, you need to know two things; what index is at the middle, and what is the value of the element at that index. Finding the middle index is easy--just make one pass through the list, keeping a counter of how many nodes there are. As you do this, you'll need to keep track of each element in a separate data structure, perhaps an ArrayList, since you're only allowed one pass through the LinkedList. Once you're done, half the counter to find the middle index, and return the ArrayList element at that index.
The pseudo code looks like this:
int count
ArrayList elements
for each node in LinkedList:
count++
elements.append(node)
middleIndex = count/2
middleElement = elements.getIndex(middleIndex)
return middleElement
Of course, you'll need to take care of the case where there isn't a single middle element.

Related

Does a partial traversal of a linked-list count as "one pass" of the list?

I've been going through algorithm challenges on LeetCode and just completed "Remove Nth Node From End of List".
Many of the top answers claimed to have found a "one pass" solution and I've included a Java example below.
Please could someone explain why "while(n-->0) h2=h2.next;" doesn't count as an extra pass of the linked list and, therefore, make this a "two pass" solution?
public ListNode RemoveNthFromEnd(ListNode head, int n) {
ListNode h1=head, h2=head;
while(n-->0) h2=h2.next;
if(h2==null)return head.next; // The head need to be removed, do it.
h2=h2.next;
while(h2!=null){
h1=h1.next;
h2=h2.next;
}
h1.next=h1.next.next; // the one after the h1 need to be removed
return head;
}
I've looked in the comments to this and other solutions and couldn't find an answer. Equally, a general Google search didn't yield an explanation.
Thanks in advance.
No, it's not one-pass. One-pass is defined with respect to a sequential I/O mechanism (canonically a tape) and means that each piece of data is read at most once, in order. Analogizing the linked list to the tape here, this algorithm is not one-pass because in general, some node will have its next field read once by h2=h2.next (in either loop) and again by h1=h1.next in the second loop.
The algorithm is not single pass, but not because of the first loop.
The first loop performs a partial pass on n elements.
The second loop performs two simultaneous partial passes on l-n elements (that on h2 being complementary to that in the first loop). In total, 2l-n lookups of next fields.
A single-pass solution can be implemented with the help of a FIFO queue of length n, but this is "hiding" a partial pass.

Java array vs Array

It's been a while since I took a proper course on Java and I'm hoping someone can confirm/correct my understanding.
Consider the variables int[] arr and ArrayList arrLi:
arr has pointers directly to each component. arr[3] goes directly to the fourth element whereas arrLi.get(3) would have to traverse through the first three elements to get to the fourth.
Reassigning a component, such as a[3] = 0, does not rewrite the entire array.
Each time you want to add an element to arr, you would need to rewrite the entire array. For example, if there are 100 elements in arr, you have to make a new array with size 101 and copy all the elements from arr then add the new one. If you later decide to add yet another element, you'd have to go through the whole process again to add the 102-nd element.
arrLi adds (to end, front, or middle) and removes elements very efficiently because all it does is add/remove nodes and adjust the links.
ArrayList is a resizable array implementation of the List interface. Therefore fetching an element does not require traversing the previous elements.
Rewriting a value does not require rewriting the entire array in either case.
Yes, an array does need to be recreated if you need more space.
While it is called a list, ArrayList internally behaves much more like an array. ArrayList sometimes needs to be resized, meaning the underlying array needs to be recreated. However, this happens infrequently enough to not affect the average performance of an ArrayList over an array by much.
Please refer to https://docs.oracle.com/javase/8/docs/api/java/util/ArrayList.html for more information

Permutations of ArrayList<Integer>

im working on a problem where i have to obtain all permutations of an arraylist of numbers. The only restriction is that any number cant start with 0, so if we have [0,1,2] we would obtain
[1,2,0]
[1,0,2]
[2,0,1]
[2,1,0]
i know how to do this with 3 loops but the thing is that i have to repeat this to different sets of numbers with differentes sizes, so i need one method that i can apply to different sets of numbers but i have no clue on how to do this. I imagine i have to used some kind of recursive function but i dont know how to implement it so the numbers cant start with a 0. Any ideas? please dont just post the code i want to understand the problem, thank you in advantage!!
Curious question! Interesting code kata.
I naively think I would have a recursive method that takes:
a list of the items currently chosen by the caller
a set of the items available for the callee
The method would iterate over the set to chose 1 more item and call itself with the list extended by this item, and the set reduced by this item. Upon return, remove from list, add back to set and go on with next item (take a defensive copy of the set of course).
If the current list is empty, the selected first item cannot be 0, as per your rules. If you must collect the permutations somewhere (not just print), a 3rd argument would be required for a collection or an observer.
The recursion obvioulsy stops when the available set is empty, at which point the permutation is sent to the collection or observer.
If items can repeat, you may have benefit from sorting them first in order to skip electing the same item again at a given position.
Beware this quires a recursion depth of N, for N items. But the danger is minimal because even with N=10000, it may not stackoverflow, but the CPU time to complete would be order(N!) (probably end of universe...)
You could solve this recursively as described here: Permutation of an ArrayList of numbers using recursion.
The only thing that is missing there is your restriction with the zeros, which could be solved somehow like this (the loop is taken from the example above):
for (List<Integer> al : myLists) {
// The part you need to add:
if (al.get(0) == 0) {
continue;
}
String appender = "";
for (Integer i : al) {
System.out.print(appender + i);
appender = " ";
}
System.out.println();
}
You basically check the first element of each permutation and skip the ones with a leading zero. The continue jumps to the next iteration of the loop and therefore to the next permutation.

is there any faster way to generate List of N integer

well I know it is very novice question, but nothing is getting into my mind. Currently I am trying this, but it is the least efficient way for such a big number. Help me anyone.
int count = 66000000;
LinkedList<Integer> list = new LinkedList<Integer>();
for (int i=1;i<=count;i++){
list.add(i);
//System.out.println(i);
}
EDIT:
Actually I have o perform operation on whole list(queue) repeatedly (say on a condition remove some elements and add again), so having to iterate whole list became so slow what with such number it took more than 10min.
the size of your output is O(n) therefore it's literally impossible to have an algorithm that populates your list any more efficient than O(n) time complexity.
You're spending a whole lot more time just printing your numbers to the screen than you actually are spending generating the list. If you really want to speed this code up, remove the
System.out.println(i);
On a separate note, I've noticed that you're using a LinkedList, If you used an array(or array-based list) it should be faster.
You could implement a List where the get(int index) method simply returns the index (or some value based on the index). The creation of the list would then be constant time (O(1)). The list would have to be immutable.
Your question isn't just about building the list, it includes deletion and re-insertion. I suspect you should be using a HashSet, maybe even a BitSet instead of a List of any kind.

select odd/even elements of array using recursion

Am working on some programming homework and am a bit lost. The project is to select the even/odd elements of a listarray and store in another array. It is not the even numbers in each element, but the elements themselves so if an array had values "1,2,5,7,9" and returned the even elements it would give "1, 5, 9". Also have to use recursion. Would anyone be able to give me a starting point or some advice. Though about starting with 2 elements and taking 2nd element and then building up from that, but don't know how it would add on the 2nd pass
public static ArrayList<Integer> even(ArrayList<Integer> list)
ArrayList<Integer> evenlist = ListMethods.deepClone(tList);//make copy of list
if (evenlist.size()<=1) // The list is empty or has one element
{
// return null;// Return the list as is
}
if
(evenlist.size()==2)
{
//return right element
//call method again
//add to list
}
Psuedocode
int[] evens,odds;
function categorize(List<Integer> in,int idx)
if(idx>=in.length)
return
int cur = in[idx]
if(even), add to evens
else add to odds
categorize(in,idx+1)
This sounds similar to the homework I just completed, so if it is (And you're in my class!), I'll not tell you to use any terminology we haven't covered as I know it can be daunting trying to discover something new for practicals (beyond what we have to do).
First, set your exit condition. As you've already said, you have to create a new ArrayList out of the existing one. You are going to remove items from the existing ArrayList, storing the integers that are at even (or odd) indices, until the list is empty.
So your exit condition is:
if (evenList is Empty)
return evenList;
Then, work your way through the steps. I would advise determining if the Array you start with has an even of odd number of steps, something like this:
if (evenList has Even Elements)
int holderForIntsAtEvenElements = last evenList EVEN element
Note we start at the last element, so when you are coming OUT of the recursive method, this will be the last one added to your new ArrayList, and thus it'll be in numerical order. You might find this post interesting to do this: What does this boolean return mean?
We then want to remove the last element from the list and recursively call the method again.
Finally, when we hit our exit condition and start to come out, we want to add the ints we've been storing to them, e.g.:
evenList.add(holderForIntsAtEvenElements);
return evenList;
That doesn't solve one problem, which is what to do with the very first element if the list does NOT have an even number of elements - however, I'll let you try and solve that!
That's a good mix of code and pseudo code and will hopefully help to get you on the right track.
You could use a simple for loop like this:
for (int i = 0; i < list.size(); i += 2) {
System.out.println(list.get(i));
}
If you have to use recursion, here's an outline of the steps you might take. (I won't tell you exactly what to do because you haven't tried anything and it is like homework.)
Take first element and store it
Remove (new) first element from list
Call self

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