{ "data": { "question": { "questionId": "3402", "questionFrontendId": "3139", "boundTopicId": null, "title": "Minimum Cost to Equalize Array", "titleSlug": "minimum-cost-to-equalize-array", "content": "
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:
i
from nums
and increase nums[i]
by 1
for a cost of cost1
.i
, j
, from nums
and increase nums[i]
and nums[j]
by 1
for a cost of cost2
.Return the minimum cost required to make all elements in the array equal.
\n\nSince the answer may be very large, return it modulo 109 + 7
.
\n
Example 1:
\n\nInput: nums = [4,1], cost1 = 5, cost2 = 2
\n\nOutput: 15
\n\nExplanation:
\n\nThe following operations can be performed to make the values equal:
\n\nnums[1]
by 1 for a cost of 5. nums
becomes [4,2]
.nums[1]
by 1 for a cost of 5. nums
becomes [4,3]
.nums[1]
by 1 for a cost of 5. nums
becomes [4,4]
.The total cost is 15.
\nExample 2:
\n\nInput: nums = [2,3,3,3,5], cost1 = 2, cost2 = 1
\n\nOutput: 6
\n\nExplanation:
\n\nThe following operations can be performed to make the values equal:
\n\nnums[0]
and nums[1]
by 1 for a cost of 1. nums
becomes [3,4,3,3,5]
.nums[0]
and nums[2]
by 1 for a cost of 1. nums
becomes [4,4,4,3,5]
.nums[0]
and nums[3]
by 1 for a cost of 1. nums
becomes [5,4,4,4,5]
.nums[1]
and nums[2]
by 1 for a cost of 1. nums
becomes [5,5,5,4,5]
.nums[3]
by 1 for a cost of 2. nums
becomes [5,5,5,5,5]
.The total cost is 6.
\nExample 3:
\n\nInput: nums = [3,5,3], cost1 = 1, cost2 = 3
\n\nOutput: 4
\n\nExplanation:
\n\nThe following operations can be performed to make the values equal:
\n\nnums[0]
by 1 for a cost of 1. nums
becomes [4,5,3]
.nums[0]
by 1 for a cost of 1. nums
becomes [5,5,3]
.nums[2]
by 1 for a cost of 1. nums
becomes [5,5,4]
.nums[2]
by 1 for a cost of 1. nums
becomes [5,5,5]
.The total cost is 4.
\n\n
Constraints:
\n\n1 <= nums.length <= 105
1 <= nums[i] <= 106
1 <= cost1 <= 106
1 <= cost2 <= 106
cost2 > cost1 * 2
, we should just use cost1
to change all the values to the maximum one.",
"Otherwise, it's optimal to choose the smallest two values and use cost2
to increase both of them.",
"Since the maximum value is known, calculate the required increases to equalize all values, instead of naively simulating the operations.",
"There are not a lot of candidates for the maximum; we can try all of them and choose which uses the minimum number of operations."
],
"solution": null,
"status": null,
"sampleTestCase": "[4,1]\n5\n2",
"metaData": "{\n \"name\": \"minCostToEqualizeArray\",\n \"params\": [\n {\n \"name\": \"nums\",\n \"type\": \"integer[]\"\n },\n {\n \"type\": \"integer\",\n \"name\": \"cost1\"\n },\n {\n \"type\": \"integer\",\n \"name\": \"cost2\"\n }\n ],\n \"return\": {\n \"type\": \"integer\"\n }\n}",
"judgerAvailable": true,
"judgeType": "large",
"mysqlSchemas": [],
"enableRunCode": true,
"enableTestMode": false,
"enableDebugger": true,
"envInfo": "{\"cpp\": [\"C++\", \"Compiled with clang 17
using the latest C++ 20 standard, and libstdc++
provided by GCC 11.
Your code is compiled with level two optimization (-O2
). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.
Most standard library headers are already included automatically for your convenience.
\"], \"java\": [\"Java\", \"OpenJDK 21
. Using compile arguments: --enable-preview --release 21
Most standard library headers are already included automatically for your convenience.
\\r\\nIncludes Pair
class from https://docs.oracle.com/javase/8/javafx/api/javafx/util/Pair.html.
Python 2.7.12
.
Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
\\r\\n\\r\\nNote that Python 2.7 will not be maintained past 2020. For the latest Python, please choose Python3 instead.
\"], \"c\": [\"C\", \"Compiled with gcc 11
using the gnu11 standard.
Your code is compiled with level one optimization (-O2
). AddressSanitizer is also enabled to help detect out-of-bounds and use-after-free bugs.
Most standard library headers are already included automatically for your convenience.
\\r\\n\\r\\nFor hash table operations, you may use uthash. \\\"uthash.h\\\" is included by default. Below are some examples:
\\r\\n\\r\\n1. Adding an item to a hash.\\r\\n
\\r\\nstruct hash_entry {\\r\\n int id; /* we'll use this field as the key */\\r\\n char name[10];\\r\\n UT_hash_handle hh; /* makes this structure hashable */\\r\\n};\\r\\n\\r\\nstruct hash_entry *users = NULL;\\r\\n\\r\\nvoid add_user(struct hash_entry *s) {\\r\\n HASH_ADD_INT(users, id, s);\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n
2. Looking up an item in a hash:\\r\\n
\\r\\nstruct hash_entry *find_user(int user_id) {\\r\\n struct hash_entry *s;\\r\\n HASH_FIND_INT(users, &user_id, s);\\r\\n return s;\\r\\n}\\r\\n\\r\\n\\r\\n\\r\\n
3. Deleting an item in a hash:\\r\\n
\\r\\nvoid delete_user(struct hash_entry *user) {\\r\\n HASH_DEL(users, user); \\r\\n}\\r\\n\\r\\n\"], \"csharp\": [\"C#\", \"
C# 12 with .NET 8 runtime
\"], \"javascript\": [\"JavaScript\", \"Node.js 20.10.0
.
Your code is run with --harmony
flag, enabling new ES6 features.
lodash.js library is included by default.
\\r\\n\\r\\nFor Priority Queue / Queue data structures, you may use 5.4.0 version of datastructures-js/priority-queue and 4.2.3 version of datastructures-js/queue.
\"], \"ruby\": [\"Ruby\", \"Ruby 3.2
Some common data structure implementations are provided in the Algorithms module: https://www.rubydoc.info/github/kanwei/algorithms/Algorithms
\"], \"swift\": [\"Swift\", \"Swift 5.9
.
You may use swift-algorithms 1.2.0 and swift-collections 1.1.0.
\"], \"golang\": [\"Go\", \"Go 1.21
Support https://pkg.go.dev/github.com/emirpasic/gods@v1.18.1 and https://pkg.go.dev/github.com/emirpasic/gods/v2@v2.0.0-alpha library.
\"], \"python3\": [\"Python3\", \"Python 3.11
.
Most libraries are already imported automatically for your convenience, such as array, bisect, collections. If you need more libraries, you can import it yourself.
\\r\\n\\r\\nFor Map/TreeMap data structure, you may use sortedcontainers library.
\"], \"scala\": [\"Scala\", \"Scala 3.3.1
.
Kotlin 1.9.0
.
We are using an experimental compiler provided by JetBrains.
\"], \"rust\": [\"Rust\", \"Rust 1.74.1
. Your code will be compiled with opt-level
2.
Supports rand v0.6\\u00a0from crates.io
\"], \"php\": [\"PHP\", \"PHP 8.2
.
With bcmath module
\"], \"typescript\": [\"Typescript\", \"TypeScript 5.1.6, Node.js 20.10.0
.
Compile Options: --alwaysStrict --strictBindCallApply --strictFunctionTypes --target ES2022
Your code is run with --harmony
flag, enabling new ES2022 features.
lodash.js library is included by default.
\"], \"racket\": [\"Racket\", \"Racket CS v8.11
\\r\\n\\r\\nUsing #lang racket
Required data/gvector data/queue data/order data/heap
automatically for your convenience
Dart 3.2. You may use package collection
\\r\\n\\r\\nYour code will be run directly without compiling
\"]}", "libraryUrl": null, "adminUrl": null, "challengeQuestion": null, "__typename": "QuestionNode" } } }