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Software Engineer Interview Questions

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The problems are not hard.

3 Answers

But you may need well preparation.

o(nlogn) solution based on binary search below. An o(n) solution based on hashtable is also possible but consume o(n) memory. public static void main (String[] args) throws java.lang.Exception { Pair p = findPairBySum(15, new int[] {1,2,3,4,5,6,7,8,9,10}); System.out.println(p.x); System.out.println(p.y); } public static Pair findPairBySum(int sum, int[] sortedArr) { for (int i=0; i= 0) return new Pair(first, expected); } return null; } public static int getIndex(int num, int[] sortedArr, int startIndex, int endIndex) { if (startIndex > endIndex) return -1; int pos = startIndex + (endIndex - startIndex) / 2; int valAtMiddle = sortedArr[pos]; if (valAtMiddle == num) return pos; if (num < valAtMiddle) return getIndex(num, sortedArr, startIndex, pos-1); return getIndex(num, sortedArr, pos+1, endIndex); } public static class Pair { public int x; public int y; public Pair(int x, int y) { this.x = x; this.y = y; } }

Note that the array is sorted already. O(n) time with O(1) space is feasible.

Find the top K frequent elements.

1 Answer

Tell me how other people describe you.

1 Answer

Ask about previous job experience

1 Answer

The technical test about some algorithm and Java technology.

1 Answer

number pair coding

3 Answers

coding exericse about inserting data

2 Answers
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