Midterm Exam😃

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Given 2 sorted array, find the kth smallest number.

Examples:

Input: [1, 3, 5], [2, 4, 6], 5 -> Output: 5

Input: [6, 9, 17], [2, 18, 30], 4 -> Output: 17

Interface:

Java: int kthSmall(int[] arr1, int[] arr2, int k);

C++: int kthSmall(vector<int> arr1, vector<int> arr2, int k);

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Everytime, if you do not know the best way, as long as you know a way to solve the problem. Solve it!!!!!

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int kthSmall(int[] arr1, int[] arr2, int k) {
    ArrayList<Integer> result = new ArrayList();
    for(int i: arr1) {
        result.add(i);
    }
    for(int j: arr2) {
        result.add(j);
    }
    Collections.sort(result);
    return result.get(k-1);
}

Merge and Sort: O(nlogn)

Consider Double pointers

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Use double pointers to merge them into a big array instead of using sort.

Time complexity O(n)

time complexity :O(k)

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int kthSmall(int[] arr1, int[] arr2, int k) {
    int first = 0;
    int second = 0;
    int[] result = new int[k];
    int index = 0;
    while(index < k) {
        if(first < arr1.length && second < arr2.length) {
            if(arr1[first] < arr2[second]) {
                result[index++] = arr1[first++];
            }
            else {
                result[index++] = arr2[second++];
            }
        }
        else if(first < arr1.length) {
            result[index++] = arr1[first++];
        }
        else if(second < arr2.length) {
            result[index++] = arr2[second++];
        }
    }
    return result[k - 1];
}

A better double pointer

🤔

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Binary Search

k/2

A[startA + k/2]

B[startB + k/2]

Compare these two pointers, we can discard some elements and narrow down the search

Binary search :O(logk)

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int kthSmall(int[] arr1, int[] arr2, int k){
    return findKthSmallest(arr1, arr2, 0, 0, arr1.length - 1, arr2.length - 1, k);
}

int findKthSmallest(int a[], int b[], int startA, int startB, int endA, int endB, int k){
    if(endA - startA > endB - startB) {
        return findKthSmallest(b, a, startB, startA, endB, endA, k);
    }
    if(endA < startA) return b[startB + k - 1];
    if(k == 1) return Math.min(a[startA], b[startB]);
    int pA = Math.min(endA - startA + 1, k/2);
    int pB = k - pA;
    if(a[startA + pA - 1] < b[startB + pB - 1]) {
    	return findKthSmallest(a ,b ,startA + pA, startB, endA, startB + pB, k - pA);
    }
    else if(a[startA + pA - 1] > b[startB + pB - 1]) {
    	return findKthSmallest(a ,b ,startA, startB + pB, startA + pA, endB, k - pB);
    }
    else {
    	return a[startA + pA - 1];
    }
}

Given a collection of numbers C and a number k, return all the combinations of k numbers.

Note: There could be duplicates in C, but duplicates are not allowed in the results.

Examples:

Input: [1, 1, 1], 2 -> Output: [[1, 1]]

Input: [2, 3, 4], 2 -> Output: [[2, 3], [2, 4], [3, 4]]

Interface:

Java: List<List<Integer>> combination(int[] nums, int k);

C++: vector<vector<int>> combination(vector<int>& nums, int k);

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Combination (C, k)

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public static List<List<Integer>> combination(int[] nums, int k) {
    List<List<Integer>> results = new ArrayList<>();
    if (nums == null || nums.length == 0 || k < 0) {
      return results;
    }
    Arrays.sort(nums);
    combine(nums, k, results, new ArrayList<Integer>(), 0);
    return results;
}

Sort is important

Combination (C, k)

If no duplicate
- every number has two options, pick or not.
- Combination(C, k) = Combination(C-nums[i], k-1) + Combination(C-nums[i], k)
If duplicate
- every number has multiple options, pick 0, 1, 2, ..., m, suppose there are m instances of this number
- Combination(C, k) = Combination(C-nums[i], k) + Combination(C-nums[i], k-1) + ... + Combination(C-nums[i], k-m)

(C-nums[i] means remove all nums[i] from C.)

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Combination (C, k)

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// [[1,1,1],[2,2],[3],[4]]
public static void combine(int[] nums, int k, List<List<Integer>> results,
                           List<Integer> cur, int index) {
    if (k == 0) {
        results.add(new ArrayList<Integer>(cur));
        return;
    }
    if (index == nums.length) {
        return;
    }
    int count = 0;
    while (index + count < nums.length && nums[index] == nums[index + count]) {
        count++;
    }
    for (int i = 0; i <= count && i <= k; i++) {
        for (int j = 0; j < i; j++) {
            cur.add(nums[index]);
        }
        combine(nums, k - i, results, cur, index + count);
        for (int j = 0; j < i; j++) {
            cur.remove(cur.size() - 1);
        }
    }
}

Combination (C, k)

k numbers need to in order, assume the result to be S
Pick the smallest number (x) for S(k)
- Combination (C, k) -> Combination (C - x, k - 1)
This can be applied to collections with duplicate and without duplicate.
- With duplicate, don't pick the same number to be the smallest one for multiple times.

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Combination (C, k)

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public static void combine(int[] nums, int k, List<List<Integer>> results, 
                           List<Integer> cur, int index) {
    if (k == 0) {
        results.add(new ArrayList<Integer>(cur));
        return;
    }
    for (int i = index; i < nums.length - k + 1; i++) {
        cur.add(nums[i]);
        combine(nums, k - 1, results, cur, i + 1);
        cur.remove(cur.size() - 1);
        // One chance for every number in every layer
        while (i + 1 < nums.length && nums[i] == nums[i + 1]) {
            i++;
        }
    }
}

Given a linked list, check if it is a palindrome. Definition: Palindrome means for a list of element, if its size is n. Then A[i] == A[n-1- i].

Examples:

Input: 1 -> 2 -> 2 -> 1

Output: true

Input: 1 -> 2 -> 3 -> 1

Output: false

Interface:

Java: boolean isPalindrome(ListNode head);

C++: bool isPalindrome(ListNode* head);

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It is similar to reorder linked list

Partition into two
Reverse the second
Compare the first and the new second

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Time complexity: O(n)

Space complexity: O(1)

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public class Solution {  
    public boolean isPalindrome(ListNode head) {  

        if(head==null || head.next==null) return true;  
          
        ListNode middle = partition(head);  
        middle = reverse(middle);  
          
        while(head!=null && middle!=null) {  
            if(head.val != middle.val) return false;  
            head = head.next;  
            middle = middle.next;  
        }  
        return true;  
    }  
    private ListNode partition(ListNode head) {  
        ListNode p = head;  
        while(p.next!=null && p.next.next!=null) {  
            p = p.next.next;  
            head = head.next;  
        }  
          
        p = head.next;  
        head.next = null;  
        return p;  
    }  
}

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    private ListNode reverse(ListNode head) {  
        if(head==null || head.next==null) return head;  
        ListNode pre = head;  
        ListNode cur = head.next;  
        pre.next = null;  
        ListNode nxt = null;  
          
        while(cur!=null) {  
            nxt = cur.next;  
            cur.next = pre;  
            pre = cur;  
            cur = nxt;  
        }  
        return pre;  
    }

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Recursion

two parameters: both are heads

one keeps going to the end

Every time it returns, tell if it is palindrome

time complexity: O(n)

Space complexity: O(1)

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ListNode left;
public boolean isPalindrome(ListNode head) {
    left = head;
    return recurUtil(head);
}

private boolean recurUtil(ListNode right) {
    if (right == null) {
        return true;
    }
    if (right.next != null && !recurUtil(right.next)) {
        return false;
    }
    if (left.val != right.val) {
        return false;
    }
    left = left.next;
    return true;
}

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// C++
bool recurUtil (ListNode* node, ListNode*& forward) {
	/* input list is empty */
	if (node == NULL) {
		return true;
	}
	/* only go to the next level when not tail node */
	if (node -> next && !recurUtil (node -> next, forward)) {
		return false;
	}
	/* compare node with its counterpart, i.e., 
	 * the node that's in symmetry position with it
	 */
	if (node -> val != forward -> val) {
		return false;
	}
	forward = forward -> next;
	return true;
}

bool isPalRecur (ListNode* head) {
	ListNode *forward = head;
	return recurUtil (head, forward);
}

bool isPalindrome (ListNode* head) {
	return isPalRecur (head);
}

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Stack

go through the whole linked list

push everything into stack

when popping, just doing the comparison

time complexity: O(n)

Space complexity: O(n)

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// C++
bool isPalWithStack (ListNode *head) {
    stack<int> stk;
    ListNode *curr = head;
    while (curr) {
        stk.push (curr -> val);
        curr = curr -> next;
    }
    curr = head;
    while (curr) {
        if (curr -> val != stk.top()) {
            return false;
        }
        stk.pop();
        curr = curr -> next;
    }
    return true;
}
bool isPalindrome (ListNode* head) {
    return isPalWithStack (head);
}

There is a infinite list "A, B, C, ..., Z, AA, AB, ..., AZ, ..., BA, ..., ZZ, AAA, ....". Given an positive integer n, return the nth element in the list.

Examples:

Input: 0 -> Output: A

Input: 26 -> Output: AA

Input: 701 -> Output: ZZ

Interface:

Java: String transform(int n);

C++: string transform(int n);

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There is a infinite list "A, B, C, ..., Z, AA, AB, ..., AZ, BA, ..., ZZ, AAA, ....". Given an positive integer n, return the nth element in the list.

10-base to 26-base conversion
For all n-base numbers, every bit start from zero.
A == 0?

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10-Base to 26-Base

"A, B, C, ..., Z, AA, AB, ..., AZ, BA, ..., ZZ, AAA, ...."

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A, ..., Z

AA, ..., ZZ

AAA, ..., ZZZ

26 * 26

26 * 26 * 26

Within each block, A can be treated as 0 and Z can be treated as 25. It will be a 10-base to 26-base if we know the position of the number.

10-Base to 26-Base

"A, B, C, ..., Z, AA, AB, ..., AZ, BA, ..., ZZ, AAA, ...."

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public static String transform(int n) {
    int baseLength = 1;
    int size = 26;
    while (size <= n) {
        n = n - size;    // false correction
        size *= 26;
        baseLength++;
    }
    
    StringBuilder result = new StringBuilder();
    for (int i = 1; i <= baseLength; i++) {
        result.append((char)('A' + n % 26));
        n /= 26;
    }
    return result.reverse().toString();
}

10-Base to 26-Base

"A, B, C, ..., Z, AA, AB, ..., AZ, BA, ..., ZZ, AAA, ...."

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public String transform(int n) {
    StringBuilder sb = new StringBuilder();
    while (n >= 0) {
        sb.append((char)('A' + n % 26));
        if (n < 26) {
           break;
        }
        n = n / 26 - 1;
    }
    return sb.reverse().toString();
}
// OR modified from 1 -> A
public String transform(int n) {
    StringBuilder sb = new StringBuilder();
    n++;
    while (n > 0) {
        n--;
        sb.append((char)('A' + n % 26));
        n /= 26;
    }
    return sb.reverse().toString();
}

new List<>();
switch case ?
too long
no thoughts
big O

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Midterm Summary

Required

Redo Midterm 1 - 4. Include main method and test cases.

Optional

Excel Sheet Column Title

Excel Sheet Column Number

Kth Smallest Element in Sorted Matrix

Prepare for an Intern Interview

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Homework 14

[GoValley-201612] Midterm

By govalley201612

Midterm Exam😃

Consider Double pointers

Binary Search

Combination (C, k)

Combination (C, k)

Combination (C, k)

Combination (C, k)

Combination (C, k)

Recursion

Stack

10-Base to 26-Base

10-Base to 26-Base

10-Base to 26-Base

Midterm Summary

Homework 14

[GoValley-201612] Midterm

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