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Switch statement fall-through…should it be allowed? [closed]
...y to do things as it was drilled into my head early on that it was nothing more than a bug in the switch statement. However, today I ran across some code that uses it by design, which got me immediately wondering what everyone in the community thinks about switch statement fall-through.
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Examples of Algorithms which has O(1), O(n log n) and O(log n) complexities
...ng for Palindrome
Counting/Bucket Sort
and here too you can find a million more such examples....
O(log n) time
Binary Search
Finding largest/smallest number in a binary search tree
Certain Divide and Conquer Algorithms based on Linear functionality
Calculating Fibonacci Numbers - Best Method
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Are loops really faster in reverse?
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198
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jQuery Event : Detect changes to the html/text of a div
...v').bind('DOMSubtreeModified', function(){
console.log('changed');
});
More details and browser support datas are Here.
Attention: in newer jQuery versions bind() is deprecated, so you should use on() instead:
$('body').on('DOMSubtreeModified', 'mydiv', function(){
console.log('changed');
})...
Why fragments, and when to use fragments instead of activities?
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I think you have to be more direct in you questioning. I just gave four major advantages above.
– Glenn Bech
May 9 '12 at 17:48
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How can I display a JavaScript object?
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2040
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Can't use method return value in write context
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330
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Integer division with remainder in JavaScript?
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386
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Generate random string/characters in JavaScript
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2428
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What is the difference between Θ(n) and O(n)?
...)) they actually mean Θ(g(n)) but technically, there is a difference.
More technically:
O(n) represents upper bound. Θ(n) means tight bound.
Ω(n) represents lower bound.
f(x) = Θ(g(x)) iff f(x) =
O(g(x)) and f(x) = Ω(g(x))
Basically when we say an algorithm is of O(n), it...
