import Foundation
public struct Heap<T> {
private var nodes = [T]()
private var orderCriteria: (T, T) -> Bool
public init(sort: @escaping (T, T) -> Bool) {
self.orderCriteria = sort
}
public init(array: [T], sort: @escaping (T, T) -> Bool) {
self.orderCriteria = sort
configureHeap(from: array)
}
public var count: Int {
return nodes.count
}
public func peek() -> T? {
return nodes.first
}
func isEmpty() -> Bool {
return nodes.isEmpty
}
public mutating func insert(_ value: T) {
nodes.append(value)
shiftUp(nodes.count - 1)
}
public mutating func remove() -> T? {
guard !nodes.isEmpty else { return nil }
if nodes.count == 1 {
return nodes.removeLast()
} else {
let value = nodes[0]
nodes[0] = nodes.removeLast()
shiftDown(0)
return value
}
}
public mutating func remove(at index: Int) -> T? {
guard index < nodes.count else { return nil }
let lastIndex = nodes.count-1
if index != lastIndex {
nodes.swapAt(index, lastIndex)
shiftDown(from: index, until: lastIndex)
shiftUp(index)
}
return nodes.removeLast()
}
private mutating func configureHeap(from array: [T]) {
nodes = array
for i in stride(from: nodes.count/2 - 1, through: 0, by: -1) {
shiftDown(i)
}
}
private func parentIndex(ofIndex i: Int) -> Int {
return (i - 1) / 2
}
private func leftChildIndex(ofIndex i: Int) -> Int {
return 2*i + 1
}
private func rightChildIndex(ofIndex i: Int) -> Int {
return 2*i + 2
}
private mutating func shiftUp(_ index: Int) {
var childIndex = index
let child = nodes[childIndex]
var parentIndex = self.parentIndex(ofIndex: index)
while childIndex > 0 && orderCriteria(child, nodes[parentIndex]) {
nodes[childIndex] = nodes[parentIndex]
childIndex = parentIndex
parentIndex = self.parentIndex(ofIndex: childIndex)
}
nodes[childIndex] = child
}
private mutating func shiftDown(from index: Int, until endIndex: Int) {
let leftChildIndex = self.leftChildIndex(ofIndex: index)
let rightChildIndex = leftChildIndex + 1
var first = index
if leftChildIndex < endIndex && orderCriteria(nodes[leftChildIndex], nodes[first]) {
first = leftChildIndex
}
if rightChildIndex < endIndex && orderCriteria(nodes[rightChildIndex], nodes[first]) {
first = rightChildIndex
}
if first == index { return }
nodes.swapAt(index, first)
shiftDown(from: first, until: endIndex)
}
private mutating func shiftDown(_ index: Int) {
shiftDown(from: index, until: nodes.count)
}
}
struct Node {
let vertex: Int
let value: Int
}
let input = readLine()!.split(separator: " ").map{ Int(String($0))! }
let (V, E) = (input[0], input[1])
let start = Int(readLine()!)!
var graph: [[Node]] = Array(repeating: [], count: V+1)
for _ in 0..<E {
let input = readLine()!.split(separator: " ").map{ Int(String($0))! }
graph[input[0]].append(Node(vertex: input[1], value: input[2]))
}
var visited = Array(repeating: false, count: V+1)
var distance = Array(repeating: Int.max, count: V+1)
var pq = Heap<Node>(sort: { $0.value < $1.value })
distance[start] = 0
pq.insert(Node(vertex: start, value: 0))
while !pq.isEmpty() {
let now = pq.remove()!
if visited[now.vertex] { continue }
visited[now.vertex] = true
for next in graph[now.vertex] {
if distance[next.vertex] > distance[now.vertex] + next.value {
distance[next.vertex] = distance[now.vertex] + next.value
pq.insert(Node(vertex: next.vertex, value: distance[next.vertex]))
}
}
}
for i in 1...V {
print(distance[i] == Int.max ? "INF" : distance[i])
}
- 다익스트라 알고리즘을 구현하는 기본적인 문제
- 시간 복잡도를 개선하기 위해 인접리스트와 우선순위 큐를 사용한다.