10. Greedy Algorithms
1. Greedy Choice Property
Classic strategy: Pick the locally optimal choice at each step.
Problem 1: Activity Selection Problem (GeeksforGeeks)
Problem Statement
Example 1:
Example 2:
Constraints:
Problem 2: Jump Game (Leetcode:55)
Problem Statement
You are given an integer array nums. You are initially positioned at the array's first index, and each element in the array represents your maximum jump length at that position.
Return true if you can reach the last index, or false otherwise.
Example 1:
Input: nums = [2,3,1,1,4]
Output: true
Explanation: Jump 1 step from index 0 to 1, then 3 steps to the last index.
Example 2:
Input: nums = [3,2,1,0,4]
Output: false
Explanation: You will always arrive at index 3 no matter what. Its maximum jump length is 0, which makes it impossible to reach the last index.
Constraints:
1 <= nums.length <= 1040 <= nums[i] <= 105
Problem 3: Jump Game II (Leetcode:45)
Problem Statement
You are given a 0-indexed array of integers nums of length n. You are initially positioned at index 0.
Each element nums[i] represents the maximum length of a forward jump from index i. In other words, if you are at index i, you can jump to any index (i + j) where:
0 <= j <= nums[i]andi + j < n
Return the minimum number of jumps to reach index n - 1. The test cases are generated such that you can reach index n - 1.
Example 1:
Input: nums = [2,3,1,1,4]
Output: 2
Explanation: The minimum number of jumps to reach the last index is 2. Jump 1 step from index 0 to 1, then 3 steps to the last index.
Example 2:
Input: nums = [2,3,0,1,4]
Output: 2
Constraints:
1 <= nums.length <= 1040 <= nums[i] <= 1000- It's guaranteed that you can reach
nums[n - 1].
Problem 4: Gas Station (Leetcode:134)
Problem Statement
There are n gas stations along a circular route, where the amount of gas at the ith station is gas[i].
You have a car with an unlimited gas tank and it costs cost[i] of gas to travel from the ith station to its next (i + 1)th station. You begin the journey with an empty tank at one of the gas stations.
Given two integer arrays gas and cost, return the starting gas station's index if you can travel around the circuit once in the clockwise direction, otherwise return -1. If there exists a solution, it is guaranteed to be unique.
Example 1:
Input: gas = [1,2,3,4,5], cost = [3,4,5,1,2]
Output: 3
Explanation:
Start at station 3 (index 3) and fill up with 4 unit of gas. Your tank = 0 + 4 = 4
Travel to station 4. Your tank = 4 - 1 + 5 = 8
Travel to station 0. Your tank = 8 - 2 + 1 = 7
Travel to station 1. Your tank = 7 - 3 + 2 = 6
Travel to station 2. Your tank = 6 - 4 + 3 = 5
Travel to station 3. The cost is 5. Your gas is just enough to travel back to station 3.
Therefore, return 3 as the starting index.
Example 2:
Input: gas = [2,3,4], cost = [3,4,3]
Output: -1
Explanation:
You can't start at station 0 or 1, as there is not enough gas to travel to the next station.
Let's start at station 2 and fill up with 4 unit of gas. Your tank = 0 + 4 = 4
Travel to station 0. Your tank = 4 - 3 + 2 = 3
Travel to station 1. Your tank = 3 - 3 + 3 = 3
You cannot travel back to station 2, as it requires 4 unit of gas but you only have 3.
Therefore, you can't travel around the circuit once no matter where you start.
Constraints:
n == gas.length == cost.length1 <= n <= 1050 <= gas[i], cost[i] <= 104- The input is generated such that the answer is unique.
Problem 5: Patching Array (Leetcode:330)
Problem Statement
Given a sorted integer array nums and an integer n, add/patch elements to the array such that any number in the range [1, n] inclusive can be formed by the sum of some elements in the array.
Return the minimum number of patches required.
Example 1:
Input: nums = [1,3], n = 6
Output: 1
Explanation:
Combinations of nums are [1], [3], [1,3], which form possible sums of: 1, 3, 4.
Now if we add/patch 2 to nums, the combinations are: [1], [2], [3], [1,3], [2,3], [1,2,3].
Possible sums are 1, 2, 3, 4, 5, 6, which now covers the range [1, 6].
So we only need 1 patch.
Example 2:
Input: nums = [1,5,10], n = 20
Output: 2
Explanation: The two patches can be [2, 4].
Example 3:
Input: nums = [1,2,2], n = 5
Output: 0
Constraints:
1 <= nums.length <= 10001 <= nums[i] <= 104numsis sorted in ascending order.1 <= n <= 231 - 1
2. Interval Scheduling
Pick maximum number of non-overlapping intervals by sorting based on end time.
Problem 1: Non-overlapping Intervals (Leetcode:435)
Problem Statement
Given an array of intervals intervals where intervals[i] = [starti, endi], return the minimum number of intervals you need to remove to make the rest of the intervals non-overlapping.
Note that intervals which only touch at a point are non-overlapping. For example, [1, 2] and [2, 3] are non-overlapping.
Example 1:
Input: intervals = [[1,2],[2,3],[3,4],[1,3]]
Output: 1
Explanation: [1,3] can be removed and the rest of the intervals are non-overlapping.
Example 2:
Input: intervals = [[1,2],[1,2],[1,2]]
Output: 2
Explanation: You need to remove two [1,2] to make the rest of the intervals non-overlapping.
Example 3:
Input: intervals = [[1,2],[2,3]]
Output: 0
Explanation: You don't need to remove any of the intervals since they're already non-overlapping.
Constraints:
1 <= intervals.length <= 105intervals[i].length == 2-5 * 104 <= starti < endi <= 5 * 104
Problem 2: Minimum Number of Arrows to Burst Balloons (Leetcode:452)
Problem Statement
There are some spherical balloons taped onto a flat wall that represents the XY-plane. The balloons are represented as a 2D integer array points where points[i] = [xstart, xend] denotes a balloon whose horizontal diameter stretches between xstart and xend. You do not know the exact y-coordinates of the balloons.
Arrows can be shot up directly vertically (in the positive y-direction) from different points along the x-axis. A balloon with xstart and xend is burst by an arrow shot at x if xstart <= x <= xend. There is no limit to the number of arrows that can be shot. A shot arrow keeps traveling up infinitely, bursting any balloons in its path.
Given the array points, return the minimum number of arrows that must be shot to burst all balloons.
Example 1:
Input: points = [[10,16],[2,8],[1,6],[7,12]]
Output: 2
Explanation: The balloons can be burst by 2 arrows:
- Shoot an arrow at x = 6, bursting the balloons [2,8] and [1,6].
- Shoot an arrow at x = 11, bursting the balloons [10,16] and [7,12].
Example 2:
Input: points = [[1,2],[3,4],[5,6],[7,8]]
Output: 4
Explanation: One arrow needs to be shot for each balloon for a total of 4 arrows.
Example 3:
Input: points = [[1,2],[2,3],[3,4],[4,5]]
Output: 2
Explanation: The balloons can be burst by 2 arrows:
- Shoot an arrow at x = 2, bursting the balloons [1,2] and [2,3].
- Shoot an arrow at x = 4, bursting the balloons [3,4] and [4,5].
Constraints:
1 <= points.length <= 105points[i].length == 2-231 <= xstart < xend <= 231 - 1
3. Interval Partitioning / Sweep Line (Heap-based Resource Allocation)
Allocate resources to overlapping intervals using min-heaps.
Problem 1: Meeting Rooms (Leetcode:252)
Problem Statement
Example 1:
Example 2:
Constraints:
Problem 2: Meeting Rooms II (Leetcode:253)
Problem Statement
Example 1:
Example 2:
Constraints:
Problem 3: Minimum Platforms (GeeksforGeeks)
Problem Statement
Example 1:
Example 2:
Constraints:
4. Earliest Deadline First / Shortest Job First
Sort tasks by deadline or duration.
Problem 1: Job Sequencing Problem (GeeksforGeeks)
Problem Statement
Example 1:
Example 2:
Constraints:
Problem 2: Course Schedule III (Leetcode:630)
Problem Statement
There are n different online courses numbered from 1 to n. You are given an array courses where courses[i] = [durationi, lastDayi] indicate that the ith course should be taken continuously for durationi days and must be finished before or on lastDayi.
You will start on the 1st day and you cannot take two or more courses simultaneously.
Return the maximum number of courses that you can take.
Example 1:
Input: courses = [[100,200],[200,1300],[1000,1250],[2000,3200]]
Output: 3
Explanation:
There are totally 4 courses, but you can take 3 courses at most:
First, take the 1st course, it costs 100 days so you will finish it on the 100th day, and ready to take the next course on the 101st day.
Second, take the 3rd course, it costs 1000 days so you will finish it on the 1100th day, and ready to take the next course on the 1101st day.
Third, take the 2nd course, it costs 200 days so you will finish it on the 1300th day.
The 4th course cannot be taken now, since you will finish it on the 3300th day, which exceeds the closed date.
Example 2:
Input: courses = [[1,2]]
Output: 1
Example 3:
Input: courses = [[3,2],[4,3]]
Output: 0
Constraints:
1 <= courses.length <= 1041 <= durationi, lastDayi <= 104
5. Minimize or Maximize a Value
Greedy numeric optimization using a custom value function.
Problem 1: Fractional Knapsack (GeeksforGeeks)
Problem Statement
Example 1:
Example 2:
Constraints:
Problem 2: Two City Scheduling (Leetcode:1029)
Problem Statement
A company is planning to interview 2n people. Given the array costs where costs[i] = [aCosti, bCosti], the cost of flying the ith person to city a is aCosti, and the cost of flying the ith person to city b is bCosti.
Return the minimum cost to fly every person to a city such that exactly n people arrive in each city.
Example 1:
Input: costs = [[10,20],[30,200],[400,50],[30,20]]
Output: 110
Explanation:
The first person goes to city A for a cost of 10.
The second person goes to city A for a cost of 30.
The third person goes to city B for a cost of 50.
The fourth person goes to city B for a cost of 20.The total minimum cost is 10 + 30 + 50 + 20 = 110 to have half the people interviewing in each city.
Example 2:
Input: costs = [[259,770],[448,54],[926,667],[184,139],[840,118],[577,469]]
Output: 1859
Example 3:
Input: costs = [[515,563],[451,713],[537,709],[343,819],[855,779],[457,60],[650,359],[631,42]]
Output: 3086
Constraints:
2 * n == costs.length2 <= costs.length <= 100costs.lengthis even.1 <= aCosti, bCosti <= 1000
Problem 3: Maximum 69 Number (Leetcode:1323)
Problem Statement
You are given a positive integer num consisting only of digits 6 and 9.
Return the maximum number you can get by changing at most one digit (6 becomes 9, and 9 becomes 6).
Example 1:
Input: num = 9669
Output: 9969
Explanation:
Changing the first digit results in 6669.
Changing the second digit results in 9969.
Changing the third digit results in 9699.
Changing the fourth digit results in 9666.
The maximum number is 9969.
Example 2:
Input: num = 9996
Output: 9999
Explanation: Changing the last digit 6 to 9 results in the maximum number.
Example 3:
Input: num = 9999
Output: 9999
Explanation: It is better not to apply any change.
Constraints:
1 <= num <= 104numconsists of only6and9digits.
Problem 4: Minimum Score by Changing Two Elements (Leetcode:2567)
Problem Statement
You are given an integer array nums.
- The low score of
numsis the minimum absolute difference between any two integers. - The high score of
numsis the maximum absolute difference between any two integers. - The score of
numsis the sum of the high and low scores.
Return the minimum score after changing two elements of nums.
Example 1:
Input: nums = [1,4,7,8,5]
Output: 3
Explanation:
Changenums[0]andnums[1]to be 6 so thatnumsbecomes [6,6,7,8,5].
The low score is the minimum absolute difference: |6 - 6| = 0.
The high score is the maximum absolute difference: |8 - 5| = 3.
The sum of high and low score is 3.
Example 2:
Input: nums = [1,4,3]
Output: 0
Explanation:
Changenums[1]andnums[2]to 1 so thatnumsbecomes [1,1,1].
The sum of maximum absolute difference and minimum absolute difference is 0.
Constraints:
3 <= nums.length <= 1051 <= nums[i] <= 109
Problem 5: Minimum Cost to Equalize Array (Leetcode:3139)
Problem Statement
You are given an integer array nums and two integers cost1 and cost2. You are allowed to perform either of the following operations any number of times:
- Choose an index
ifromnumsand increasenums[i]by1for a cost ofcost1. - Choose two different indices
i,j, fromnumsand increasenums[i]andnums[j]by1for a cost ofcost2.
Return the minimum cost required to make all elements in the array equal.
Since the answer may be very large, return it modulo 109 + 7.
Example 1:
Input: nums = [4,1], cost1 = 5, cost2 = 2
Output: 15
Explanation:
The following operations can be performed to make the values equal:
Increasenums[1]by 1 for a cost of 5.numsbecomes[4,2].
Increasenums[1]by 1 for a cost of 5.numsbecomes[4,3].
* Increasenums[1]by 1 for a cost of 5.numsbecomes[4,4].
The total cost is 15.
Example 2:
Input: nums = [2,3,3,3,5], cost1 = 2, cost2 = 1
Output: 6
Explanation:
The following operations can be performed to make the values equal:
Increasenums[0]andnums[1]by 1 for a cost of 1.numsbecomes[3,4,3,3,5].
Increasenums[0]andnums[2]by 1 for a cost of 1.numsbecomes[4,4,4,3,5].
Increasenums[0]andnums[3]by 1 for a cost of 1.numsbecomes[5,4,4,4,5].
Increasenums[1]andnums[2]by 1 for a cost of 1.numsbecomes[5,5,5,4,5].
* Increasenums[3]by 1 for a cost of 2.numsbecomes[5,5,5,5,5].
The total cost is 6.
Example 3:
Input: nums = [3,5,3], cost1 = 1, cost2 = 3
Output: 4
Explanation:
The following operations can be performed to make the values equal:
Increasenums[0]by 1 for a cost of 1.numsbecomes[4,5,3].
Increasenums[0]by 1 for a cost of 1.numsbecomes[5,5,3].
Increasenums[2]by 1 for a cost of 1.numsbecomes[5,5,4].
Increasenums[2]by 1 for a cost of 1.numsbecomes[5,5,5].
The total cost is 4.
Constraints:
1 <= nums.length <= 1051 <= nums[i] <= 1061 <= cost1 <= 1061 <= cost2 <= 106
6. Greedy with Sorting
Sort based on custom logic and process sequentially.
Problem 1: Merge Intervals (Leetcode:56)
Problem Statement
Given an array of intervals where intervals[i] = [starti, endi], merge all overlapping intervals, and return an array of the non-overlapping intervals that cover all the intervals in the input.
Example 1:
Input: intervals = [[1,3],[2,6],[8,10],[15,18]]
Output: [[1,6],[8,10],[15,18]]
Explanation: Since intervals [1,3] and [2,6] overlap, merge them into [1,6].
Example 2:
Input: intervals = [[1,4],[4,5]]
Output: [[1,5]]
Explanation: Intervals [1,4] and [4,5] are considered overlapping.
Constraints:
1 <= intervals.length <= 104intervals[i].length == 20 <= starti <= endi <= 104
Problem 2: Queue Reconstruction by Height (Leetcode:406)
Problem Statement
You are given an array of people, people, which are the attributes of some people in a queue (not necessarily in order). Each people[i] = [hi, ki] represents the ith person of height hi with exactly ki other people in front who have a height greater than or equal to hi.
Reconstruct and return the queue that is represented by the input array people. The returned queue should be formatted as an array queue, where queue[j] = [hj, kj] is the attributes of the jth person in the queue (queue[0] is the person at the front of the queue).
Example 1:
Input: people = [[7,0],[4,4],[7,1],[5,0],[6,1],[5,2]]
Output: [[5,0],[7,0],[5,2],[6,1],[4,4],[7,1]]
Explanation:
Person 0 has height 5 with no other people taller or the same height in front.
Person 1 has height 7 with no other people taller or the same height in front.
Person 2 has height 5 with two persons taller or the same height in front, which is person 0 and 1.
Person 3 has height 6 with one person taller or the same height in front, which is person 1.
Person 4 has height 4 with four people taller or the same height in front, which are people 0, 1, 2, and 3.
Person 5 has height 7 with one person taller or the same height in front, which is person 1.
Hence [[5,0],[7,0],[5,2],[6,1],[4,4],[7,1]] is the reconstructed queue.
Example 2:
Input: people = [[6,0],[5,0],[4,0],[3,2],[2,2],[1,4]]
Output: [[4,0],[5,0],[2,2],[3,2],[1,4],[6,0]]
Constraints:
1 <= people.length <= 20000 <= hi <= 1060 <= ki < people.length- It is guaranteed that the queue can be reconstructed.
Problem 3: Largest Number (Leetcode:179)
Problem Statement
Given a list of non-negative integers nums, arrange them such that they form the largest number and return it.
Since the result may be very large, so you need to return a string instead of an integer.
Example 1:
Input: nums = [10,2]
Output: "210"
Example 2:
Input: nums = [3,30,34,5,9]
Output: "9534330"
Constraints:
1 <= nums.length <= 1000 <= nums[i] <= 109
Problem 4: Minimum Number of Operations to Make Arrays Similar (Leetcode:2449)
Problem Statement
You are given two positive integer arrays nums and target, of the same length.
In one operation, you can choose any two distinct indices i and j where 0 <= i, j < nums.length and:
- set
nums[i] = nums[i] + 2and - set
nums[j] = nums[j] - 2.
Two arrays are considered to be similar if the frequency of each element is the same.
Return the minimum number of operations required to make nums similar to target. The test cases are generated such that nums can always be similar to target.
Example 1:
Input: nums = [8,12,6], target = [2,14,10]
Output: 2
Explanation: It is possible to make nums similar to target in two operations:
- Choose i = 0 and j = 2, nums = [10,12,4].
- Choose i = 1 and j = 2, nums = [10,14,2].
It can be shown that 2 is the minimum number of operations needed.
Example 2:
Input: nums = [1,2,5], target = [4,1,3]
Output: 1
Explanation: We can make nums similar to target in one operation:
- Choose i = 1 and j = 2, nums = [1,4,3].
Example 3:
Input: nums = [1,1,1,1,1], target = [1,1,1,1,1]
Output: 0
Explanation: The array nums is already similiar to target.
Constraints:
n == nums.length == target.length1 <= n <= 1051 <= nums[i], target[i] <= 106- It is possible to make
numssimilar totarget.
7. Greedy with Heap / Priority Queue
Use heap to dynamically select optimal elements.
Problem 1: Huffman Coding (GeeksforGeeks)
Problem Statement
Example 1:
Example 2:
Constraints:
Problem 2: Task Scheduler (Leetcode:621)
Problem Statement
You are given an array of CPU tasks, each labeled with a letter from A to Z, and a number n. Each CPU interval can be idle or allow the completion of one task. Tasks can be completed in any order, but there's a constraint: there has to be a gap of at least n intervals between two tasks with the same label.
Return the minimum number of CPU intervals required to complete all tasks.
Example 1:
Input: tasks = ["A","A","A","B","B","B"], n = 2
Output: 8
Explanation: A possible sequence is: A -> B -> idle -> A -> B -> idle -> A -> B.
After completing task A, you must wait two intervals before doing A again. The same applies to task B. In the 3rd interval, neither A nor B can be done, so you idle. By the 4th interval, you can do A again as 2 intervals have passed.
Example 2:
Input: tasks = ["A","C","A","B","D","B"], n = 1
Output: 6
Explanation: A possible sequence is: A -> B -> C -> D -> A -> B.
With a cooling interval of 1, you can repeat a task after just one other task.
Example 3:
Input: tasks = ["A","A","A", "B","B","B"], n = 3
Output: 10
Explanation: A possible sequence is: A -> B -> idle -> idle -> A -> B -> idle -> idle -> A -> B.
There are only two types of tasks, A and B, which need to be separated by 3 intervals. This leads to idling twice between repetitions of these tasks.
Constraints:
1 <= tasks.length <= 104tasks[i]is an uppercase English letter.0 <= n <= 100
Problem 3: IPO (Leetcode:502)
Problem Statement
Suppose LeetCode will start its IPO soon. In order to sell a good price of its shares to Venture Capital, LeetCode would like to work on some projects to increase its capital before the IPO. Since it has limited resources, it can only finish at most k distinct projects before the IPO. Help LeetCode design the best way to maximize its total capital after finishing at most k distinct projects.
You are given n projects where the ith project has a pure profit profits[i] and a minimum capital of capital[i] is needed to start it.
Initially, you have w capital. When you finish a project, you will obtain its pure profit and the profit will be added to your total capital.
Pick a list of at most k distinct projects from given projects to maximize your final capital, and return the final maximized capital.
The answer is guaranteed to fit in a 32-bit signed integer.
Example 1:
Input: k = 2, w = 0, profits = [1,2,3], capital = [0,1,1]
Output: 4
Explanation: Since your initial capital is 0, you can only start the project indexed 0.
After finishing it you will obtain profit 1 and your capital becomes 1.
With capital 1, you can either start the project indexed 1 or the project indexed 2.
Since you can choose at most 2 projects, you need to finish the project indexed 2 to get the maximum capital.
Therefore, output the final maximized capital, which is 0 + 1 + 3 = 4.
Example 2:
Input: k = 3, w = 0, profits = [1,2,3], capital = [0,1,2]
Output: 6
Constraints:
1 <= k <= 1050 <= w <= 109n == profits.lengthn == capital.length1 <= n <= 1050 <= profits[i] <= 1040 <= capital[i] <= 109
Problem 4: Minimum Cost to Connect Sticks (Leetcode:1167)
Problem Statement
Example 1:
Example 2:
Constraints:
Problem 5: Minimum Cost to Hire K Workers (Leetcode:857)
Problem Statement
There are n workers. You are given two integer arrays quality and wage where quality[i] is the quality of the ith worker and wage[i] is the minimum wage expectation for the ith worker.
We want to hire exactly k workers to form a paid group. To hire a group of k workers, we must pay them according to the following rules:
- Every worker in the paid group must be paid at least their minimum wage expectation.
- In the group, each worker's pay must be directly proportional to their quality. This means if a worker’s quality is double that of another worker in the group, then they must be paid twice as much as the other worker.
Given the integer k, return the least amount of money needed to form a paid group satisfying the above conditions. Answers within 10-5 of the actual answer will be accepted.
Example 1:
Input: quality = [10,20,5], wage = [70,50,30], k = 2
Output: 105.00000
Explanation: We pay 70 to 0th worker and 35 to 2nd worker.
Example 2:
Input: quality = [3,1,10,10,1], wage = [4,8,2,2,7], k = 3
Output: 30.66667
Explanation: We pay 4 to 0th worker, 13.33333 to 2nd and 3rd workers separately.
Constraints:
n == quality.length == wage.length1 <= k <= n <= 1041 <= quality[i], wage[i] <= 104
Problem 6: Reorganize String (Leetcode:767)
Problem Statement
Given a string s, rearrange the characters of s so that any two adjacent characters are not the same.
Return any possible rearrangement of s or return "" if not possible.
Example 1:
Input: s = "aab" Output: "aba"
Example 2:
Input: s = "aaab" Output: ""
Constraints:
1 <= s.length <= 500sconsists of lowercase English letters.
8. Greedy + Two Pointers
Advance two pointers greedily to solve sorted-array-based problems.
Problem 1: Assign Cookies (Leetcode:455)
Problem Statement
Assume you are an awesome parent and want to give your children some cookies. But, you should give each child at most one cookie.
Each child i has a greed factor g[i], which is the minimum size of a cookie that the child will be content with; and each cookie j has a size s[j]. If s[j] >= g[i], we can assign the cookie j to the child i, and the child i will be content. Your goal is to maximize the number of your content children and output the maximum number.
Example 1:
Input: g = [1,2,3], s = [1,1]
Output: 1
Explanation: You have 3 children and 2 cookies. The greed factors of 3 children are 1, 2, 3.
And even though you have 2 cookies, since their size is both 1, you could only make the child whose greed factor is 1 content.
You need to output 1.
Example 2:
Input: g = [1,2], s = [1,2,3]
Output: 2
Explanation: You have 2 children and 3 cookies. The greed factors of 2 children are 1, 2.
You have 3 cookies and their sizes are big enough to gratify all of the children,
You need to output 2.
Constraints:
1 <= g.length <= 3 * 1040 <= s.length <= 3 * 1041 <= g[i], s[j] <= 231 - 1
Note: This question is the same as 2410: Maximum Matching of Players With Trainers.
Problem 2: Boats to Save People (Leetcode:881)
Problem Statement
You are given an array people where people[i] is the weight of the ith person, and an infinite number of boats where each boat can carry a maximum weight of limit. Each boat carries at most two people at the same time, provided the sum of the weight of those people is at most limit.
Return the minimum number of boats to carry every given person.
Example 1:
Input: people = [1,2], limit = 3
Output: 1
Explanation: 1 boat (1, 2)
Example 2:
Input: people = [3,2,2,1], limit = 3
Output: 3
Explanation: 3 boats (1, 2), (2) and (3)
Example 3:
Input: people = [3,5,3,4], limit = 5
Output: 4
Explanation: 4 boats (3), (3), (4), (5)
Constraints:
1 <= people.length <= 5 * 1041 <= people[i] <= limit <= 3 * 104
Problem 3: Maximum Bags With Full Capacity of Rocks (Leetcode:2279)
Problem Statement
You have n bags numbered from 0 to n - 1. You are given two 0-indexed integer arrays capacity and rocks. The ith bag can hold a maximum of capacity[i] rocks and currently contains rocks[i] rocks. You are also given an integer additionalRocks, the number of additional rocks you can place in any of the bags.
Return the maximum number of bags that could have full capacity after placing the additional rocks in some bags.
Example 1:
Input: capacity = [2,3,4,5], rocks = [1,2,4,4], additionalRocks = 2
Output: 3
Explanation:
Place 1 rock in bag 0 and 1 rock in bag 1.
The number of rocks in each bag are now [2,3,4,4].
Bags 0, 1, and 2 have full capacity.
There are 3 bags at full capacity, so we return 3.
It can be shown that it is not possible to have more than 3 bags at full capacity.
Note that there may be other ways of placing the rocks that result in an answer of 3.
Example 2:
Input: capacity = [10,2,2], rocks = [2,2,0], additionalRocks = 100
Output: 3
Explanation:
Place 8 rocks in bag 0 and 2 rocks in bag 2.
The number of rocks in each bag are now [10,2,2].
Bags 0, 1, and 2 have full capacity.
There are 3 bags at full capacity, so we return 3.
It can be shown that it is not possible to have more than 3 bags at full capacity.
Note that we did not use all of the additional rocks.
Constraints:
n == capacity.length == rocks.length1 <= n <= 5 * 1041 <= capacity[i] <= 1090 <= rocks[i] <= capacity[i]1 <= additionalRocks <= 109
9. Greedy on Graphs
Graph algorithms that use greedy strategies (e.g., MSTs).
Problem 1: Prim’s Algorithm (GeeksforGeeks)
Problem Statement
Example 1:
Example 2:
Constraints:
Problem 2: Kruskal’s Algorithm (GeeksforGeeks)
Problem Statement
Example 1:
Example 2:
Constraints:
Problem 3: Network Delay Time (Leetcode:743)
Problem Statement
You are given a network of n nodes, labeled from 1 to n. You are also given times, a list of travel times as directed edges times[i] = (ui, vi, wi), where ui is the source node, vi is the target node, and wi is the time it takes for a signal to travel from source to target.
We will send a signal from a given node k. Return the minimum time it takes for all the n nodes to receive the signal. If it is impossible for all the n nodes to receive the signal, return -1.
Example 1:
Input: times = [[2,1,1],[2,3,1],[3,4,1]], n = 4, k = 2
Output: 2
Example 2:
Input: times = [[1,2,1]], n = 2, k = 1
Output: 1
Example 3:
Input: times = [[1,2,1]], n = 2, k = 2
Output: -1
Constraints:
1 <= k <= n <= 1001 <= times.length <= 6000times[i].length == 31 <= ui, vi <= nui != vi0 <= wi <= 100- All the pairs
(ui, vi)are unique. (i.e., no multiple edges.)
Problem 4: Minimum Cost to Connect All Points (Leetcode:1584)
Problem Statement
You are given an array points representing integer coordinates of some points on a 2D-plane, where points[i] = [xi, yi].
The cost of connecting two points [xi, yi] and [xj, yj] is the manhattan distance between them: |xi - xj| + |yi - yj|, where |val| denotes the absolute value of val.
Return the minimum cost to make all points connected. All points are connected if there is exactly one simple path between any two points.
Example 1:
Input: points = [[0,0],[2,2],[3,10],[5,2],[7,0]]
Output: 20
Explanation:
We can connect the points as shown above to get the minimum cost of 20.
Notice that there is a unique path between every pair of points.
Example 2:
Input: points = [[3,12],[-2,5],[-4,1]]
Output: 18
Constraints:
1 <= points.length <= 1000-106 <= xi, yi <= 106- All pairs
(xi, yi)are distinct.