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Posts published in December 2017

花花酱 LeetCode 732. My Calendar III

Problem:

link: https://leetcode.com/problems/my-calendar-iii/description/

Implement a MyCalendarThree class to store your events. A new event can always be added.

Your class will have one method, book(int start, int end). Formally, this represents a booking on the half open interval [start, end), the range of real numbers x such that start <= x < end.

K-booking happens when K events have some non-empty intersection (ie., there is some time that is common to all K events.)

For each call to the method MyCalendar.book, return an integer K representing the largest integer such that there exists a K-booking in the calendar.

Your class will be called like this: MyCalendarThree cal = new MyCalendarThree();MyCalendarThree.book(start, end)

Example 1:

MyCalendarThree();
MyCalendarThree.book(10, 20); // returns 1
MyCalendarThree.book(50, 60); // returns 1
MyCalendarThree.book(10, 40); // returns 2
MyCalendarThree.book(5, 15); // returns 3
MyCalendarThree.book(5, 10); // returns 3
MyCalendarThree.book(25, 55); // returns 3
Explanation: 
The first two events can be booked and are disjoint, so the maximum K-booking is a 1-booking.
The third event [10, 40) intersects the first event, and the maximum K-booking is a 2-booking.
The remaining events cause the maximum K-booking to be only a 3-booking.
Note that the last event locally causes a 2-booking, but the answer is still 3 because
eg. [10, 20), [10, 40), and [5, 15) are still triple booked.

Note:

  • The number of calls to MyCalendarThree.book per test case will be at most 400.
  • In calls to MyCalendarThree.book(start, end)start and end are integers in the range [0, 10^9].

Idea:

Similar to LeetCode 731 My Calendar II Use an ordered / tree map to track the number of event at current time.

For a new book event, increase the number of events at start, decrease the number of events at end.

Scan the timeline to find the maximum number of events.

 

Solution 1: Count Boundaries

Time complexity: O(n^2)

Space complexity: O(n)

C++

Solution 2

C++

Solution 3: Segment Tree

C++

Python3

Related Problems:

花花酱 LeetCode 740. Delete and Earn

Problem:

Given an array nums of integers, you can perform operations on the array.

In each operation, you pick any nums[i] and delete it to earn nums[i] points. After, you must delete everyelement equal to nums[i] - 1 or nums[i] + 1.

You start with 0 points. Return the maximum number of points you can earn by applying such operations.

Example 1:

Example 2:

Note:

  • The length of nums is at most 20000.
  • Each element nums[i] is an integer in the range [1, 10000].


Idea:

Reduce the problem to House Robber Problem

Key observations: If we take nums[i]

  1. We can safely take all of its copies.
  2. We can’t take any of copies of nums[i – 1] and nums[i + 1]

This problem is reduced to 198 House Robber.

Houses[i] has all the copies of num whose value is i.

[3 4 2] -> [0 2 3 4], rob([0 2 3 4]) = 6            

[2, 2, 3, 3, 3, 4] -> [0 2*2 3*3 4], rob([0 2*2 3*3 4]) = 9

Time complexity: O(n+r) reduction + O(r) solving rob = O(n + r)

Space complexity: O(r)

r = max(nums) – min(nums) + 1

Time complexity: O(n + r)

Space complexity: O(r)

Solution:

Related Problem:

花花酱 LeetCode 198. House Robber

Problem:

You are a professional robber planning to rob houses along a street. Each house has a certain amount of money stashed, the only constraint stopping you from robbing each of them is that adjacent houses have security system connected and it will automatically contact the police if two adjacent houses were broken into on the same night.

Given a list of non-negative integers representing the amount of money of each house, determine the maximum amount of money you can rob tonight without alerting the police.

Idea:

DP

Time complexity: O(n)

Space complexity: O(n) -> O(1)

Solution:

C++ / Recursion + Memorization

Time complexity: O(n)

Space complexity: O(n)

 

C++ / DP

Time complexity: O(n)

Space complexity: O(n)

C++ / O(1) Space

 

花花酱 LeetCode 741. Cherry Pickup

题目大意:给你樱桃田的地图(1: 樱桃, 0: 空, -1: 障碍物)。然你从左上角走到右下角(只能往右或往下),再从右下角走回左上角(只能往左或者往上)。问你最多能采到多少棵樱桃。

Problem:

In a N x N grid representing a field of cherries, each cell is one of three possible integers.

  • 0 means the cell is empty, so you can pass through;
  • 1 means the cell contains a cherry, that you can pick up and pass through;
  • -1 means the cell contains a thorn that blocks your way.

Your task is to collect maximum number of cherries possible by following the rules below:

  • Starting at the position (0, 0) and reaching (N-1, N-1) by moving right or down through valid path cells (cells with value 0 or 1);
  • After reaching (N-1, N-1), returning to (0, 0) by moving left or up through valid path cells;
  • When passing through a path cell containing a cherry, you pick it up and the cell becomes an empty cell (0);
  • If there is no valid path between (0, 0) and (N-1, N-1), then no cherries can be collected.

Example 1:

Note:

  • grid is an N by N 2D array, with 1 <= N <= 50.
  • Each grid[i][j] is an integer in the set {-1, 0, 1}.
  • It is guaranteed that grid[0][0] and grid[N-1][N-1] are not -1.


Idea:

DP

Key observation: (0,0) to (n-1, n-1) to (0, 0) is the same as (n-1,n-1) to (0,0) twice

  1. Two people starting from (n-1, n-1) and go to (0, 0).
  2. They move one step (left or up) at a time simultaneously. And pick up the cherry within the grid (if there is one).
  3. if they ended up at the same grid with a cherry. Only one of them can pick up it.

Solution: DP / Recursion with memoization.

x1, y1, x2 to represent a state y2 can be computed: y2 = x1 + y1 – x2

dp(x1, y1, x2) computes the max cherries if start from {(x1, y1), (x2, y2)} to (0, 0), which is a recursive function.

Since two people move independently, there are 4 subproblems: (left, left), (left, up), (up, left), (left, up). Finally, we have:

dp(x1, y1, x2)= g[y1][x1] + g[y2][x2] + max{dp(x1-1,y1,x2-1), dp(x1,y1-1,x2-1), dp(x1-1,y1,x2), dp(x1,y1-1,x2)}

Time complexity: O(n^3)

Space complexity: O(n^3)

Solution: DP

Time complexity: O(n^3)

Space complexity: O(n^3)

C ++

Java

 

Related Problems:

花花酱 LeetCode 735. Asteroid Collision

Problem:

We are given an array asteroids of integers representing asteroids in a row.

For each asteroid, the absolute value represents its size, and the sign represents its direction (positive meaning right, negative meaning left). Each asteroid moves at the same speed.

Find out the state of the asteroids after all collisions. If two asteroids meet, the smaller one will explode. If both are the same size, both will explode. Two asteroids moving in the same direction will never meet.

Example 1:

Example 2:

Example 3:

Example 4:

Note:

  • The length of asteroids will be at most 10000.
  • Each asteroid will be a non-zero integer in the range [-1000, 1000]..
Idea:
Simulation

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

Solution:

C ++