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<span class="block">Visualize Algorithms</span>
<span class="block text-blue-400 mt-2">Like Never Before</span>
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Break down complex algorithmic concepts into easy-to-understand animated explanations with detailed step-by-step visualizations.
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Explore Algorithm Categories
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Choose from various algorithm types to visualize and understand their inner workings
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Understanding Algorithms Visually
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Our visualization tool breaks down complex algorithms into digestible steps with clear animations.
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See how our visualizations bring algorithms to life
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<h3 class="text-xl font-bold text-white mb-4">Merge Sort Visualization</h3>
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<pre class="text-green-400 text-sm">
function mergeSort(arr):
if length(arr) <= 1:
return arr
mid = length(arr) / 2
left = mergeSort(arr[0...mid])
right = mergeSort(arr[mid...end])
return merge(left, right)</pre>
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<h3 class="text-xl font-bold text-white mb-4">Mathematical Explanation</h3>
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\( T(n) = 2T\left(\frac{n}{2}\right) + O(n) \)
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<p class="mb-4">The recurrence relation for merge sort shows that the problem is divided into two subproblems of half the size, and then combined in linear time.</p>
<p>The solution to this recurrence is:</p>
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\( T(n) = O(n \log n) \)
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<p class="mt-4">This makes merge sort one of the most efficient sorting algorithms with guaranteed \( O(n \log n) \) performance.</p>
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