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	* feat(swift): review for chapter_computational_complexity * feat(swift): review for chapter_data_structure * feat(swift): review for chapter_array_and_linkedlist * feat(swift): review for chapter_stack_and_queue * feat(swift): review for chapter_hashing * feat(swift): review for chapter_tree * feat(swift): add codes for heap article * feat(swift): review for chapter_heap * feat(swift): review for chapter_graph * feat(swift): review for chapter_searching * feat(swift): review for chapter_sorting * feat(swift): review for chapter_divide_and_conquer * feat(swift): review for chapter_backtracking * feat(swift): review for chapter_dynamic_programming * feat(swift): review for chapter_greedy * feat(swift): review for utils * feat(swift): update ci tool * feat(swift): trailing closure * feat(swift): array init * feat(swift): map index
		
			
				
	
	
		
			37 lines
		
	
	
		
			917 B
		
	
	
	
		
			Swift
		
	
	
	
	
	
			
		
		
	
	
			37 lines
		
	
	
		
			917 B
		
	
	
	
		
			Swift
		
	
	
	
	
	
/**
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 * File: top_k.swift
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 * Created Time: 2023-07-02
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 * Author: nuomi1 (nuomi1@qq.com)
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 */
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import HeapModule
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import utils
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/* 基于堆查找数组中最大的 k 个元素 */
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func topKHeap(nums: [Int], k: Int) -> [Int] {
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    // 初始化一个小顶堆,并将前 k 个元素建堆
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    var heap = Heap(nums.prefix(k))
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    // 从第 k+1 个元素开始,保持堆的长度为 k
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    for i in nums.indices.dropFirst(k) {
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        // 若当前元素大于堆顶元素,则将堆顶元素出堆、当前元素入堆
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        if nums[i] > heap.min()! {
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            _ = heap.removeMin()
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            heap.insert(nums[i])
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        }
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    }
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    return heap.unordered
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}
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@main
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enum TopK {
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    /* Driver Code */
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    static func main() {
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        let nums = [1, 7, 6, 3, 2]
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        let k = 3
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        let res = topKHeap(nums: nums, k: k)
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        print("最大的 \(k) 个元素为")
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        PrintUtil.printHeap(queue: res)
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    }
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}
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