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Algorithm A can''t tell the difference between two similar inputs instances where only x ''s value changes. If x is the minimum in one of these instances and not in the other, then A will fail to
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Therefore, if there is algorithm that works by repeatedly reducing the problem to a subproblem of size that is the square root of the original problem size, that algorithm will terminate
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Most people with a degree in CS know what Big O stands for. It helps us to measure how well an algorithm scales. How do you calculate or approximate the complexity of your algorithms?
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The peak-finding algorithm would find the location of these peaks (not just their values), and ideally would find the true inter-sample peak, not just the index with maximum value, probably
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Here is a page that includes a bit of documentation, full source code, and examples of a diff algorithm using the techniques in the aforementioned algorithm. The source code appears to follow the basic
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The hashing algorithm needs to be deterministic i.e. given the same input it must always produce the same output. Reduce Collisions The algorithm that calculates a hash code needs to keep hash
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Is the algorithm available in my favorite language? What is the code size of the algorithm? Is the algorithm readable, understandable? Source code The source code below contains all used
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A sorting algorithm is said to be stable if two objects with equal keys appear in the same order in sorted output as they appear in the input unsorted array. Some sorting algorithms are stable
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Robust peak detection algorithm (using z-scores) I came up with an algorithm that works very well for these types of datasets. It is based on the principle of dispersion: if a new datapoint is a given x
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A common algorithm with O (log n) time complexity is Binary Search whose recursive relation is T (n/2) + O (1) i.e. at every subsequent level of the tree you divide problem into half and do
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