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@ -57,7 +57,7 @@ alert( getMaxSubSum([1, 2, 3]) ); // 6
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alert( getMaxSubSum([100, -9, 2, -3, 5]) ); // 100
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alert( getMaxSubSum([100, -9, 2, -3, 5]) ); // 100
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```
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```
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The solution has a time complexety of [O(n<sup>2</sup>)](https://en.wikipedia.org/wiki/Big_O_notation). In other words, if we increase the array size 2 times, the algorithm will work 4 times longer.
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The solution has a time complexity of [O(n<sup>2</sup>)](https://en.wikipedia.org/wiki/Big_O_notation). In other words, if we increase the array size 2 times, the algorithm will work 4 times longer.
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For big arrays (1000, 10000 or more items) such algorithms can lead to a serious sluggishness.
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For big arrays (1000, 10000 or more items) such algorithms can lead to a serious sluggishness.
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