In an infinite binary tree where every node has two children, the nodes are labelled in row order.

In the odd numbered rows (ie., the first, third, fifth,…), the labelling is left to right, while in the even numbered rows (second, fourth, sixth,…), the labelling is right to left.

Given the label of a node in this tree, return the labels in the path from the root of the tree to the node with that label.

Example 1:

Input: label = 14
Output: [1,3,4,14]


Example 2:

Input: label = 26
Output: [1,2,6,10,26]


Constraints:

• 1 <= label <= 10^6

## Solution: Math

Time complexity: O(logn)
Space complexity: O(logn)

## C++

Return the result of evaluating a given boolean expression, represented as a string.

An expression can either be:

• "t", evaluating to True;
• "f", evaluating to False;
• "!(expr)", evaluating to the logical NOT of the inner expression expr;
• "&(expr1,expr2,...)", evaluating to the logical AND of 2 or more inner expressions expr1, expr2, ...;
• "|(expr1,expr2,...)", evaluating to the logical OR of 2 or more inner expressions expr1, expr2, ...

Example 1:

Input: expression = "!(f)"
Output: true


Example 2:

Input: expression = "|(f,t)"
Output: true


Example 3:

Input: expression = "&(t,f)"
Output: false


Example 4:

Input: expression = "|(&(t,f,t),!(t))"
Output: false

## Solution: Recursion

Time complexity: O(n)
Space complexity: O(n)

## C++

We have a sequence of books: the i-th book has thickness books[i][0] and height books[i][1].

We want to place these books in order onto bookcase shelves that have total width shelf_width.

We choose some of the books to place on this shelf (such that the sum of their thickness is <= shelf_width), then build another level of shelf of the bookcase so that the total height of the bookcase has increased by the maximum height of the books we just put down.  We repeat this process until there are no more books to place.

Note again that at each step of the above process, the order of the books we place is the same order as the given sequence of books.  For example, if we have an ordered list of 5 books, we might place the first and second book onto the first shelf, the third book on the second shelf, and the fourth and fifth book on the last shelf.

Return the minimum possible height that the total bookshelf can be after placing shelves in this manner.

Example 1:

Input: books = [[1,1],[2,3],[2,3],[1,1],[1,1],[1,1],[1,2]], shelf_width = 4
Output: 6
Explanation:
The sum of the heights of the 3 shelves are 1 + 3 + 2 = 6.
Notice that book number 2 does not have to be on the first shelf.


Constraints:

• 1 <= books.length <= 1000
• 1 <= books[i][0] <= shelf_width <= 1000
• 1 <= books[i][1] <= 1000

## Solution: DP

dp[i] := min height of placing books[0] ~ books[i]
dp[-1] = 0
dp[j] = min{dp[i-1] + max(h[i] ~ h[j])}, 0 < i <= j, sum(w[i] ~ w[j]) <= shelf_width

Time complexity: O(n^2)
Space complexity: O(n)

## C++

You are driving a vehicle that has capacity empty seats initially available for passengers.  The vehicle only drives east (ie. it cannot turn around and drive west.)

Given a list of tripstrip[i] = [num_passengers, start_location, end_location] contains information about the i-th trip: the number of passengers that must be picked up, and the locations to pick them up and drop them off.  The locations are given as the number of kilometers due east from your vehicle’s initial location.

Return true if and only if it is possible to pick up and drop off all passengers for all the given trips.

Example 1:

Input: trips = [[2,1,5],[3,3,7]], capacity = 4
Output: false


Example 2:

Input: trips = [[2,1,5],[3,3,7]], capacity = 5
Output: true


Example 3:

Input: trips = [[2,1,5],[3,5,7]], capacity = 3
Output: true


Example 4:

Input: trips = [[3,2,7],[3,7,9],[8,3,9]], capacity = 11
Output: true

## Solution1: Min heap

Sort events by location

Time complexity: O(nlogn)
Space complexity: O(n)

## Solution 2: Preprocessing

Time complexity: O(n)
Space complexity: O(1000)

## C++

Merge k sorted linked lists and return it as one sorted list. Analyze and describe its complexity.

Example:

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

## Solution 1: Min heap

Time complexity: O(nklogk)
Space complexity: O(k)

## Solution 2: Merge Sort

Time complexity: O(nklogk)
Space complexity: O(logk)

## C++

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