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  2. Best, worst and average case - Wikipedia

    en.wikipedia.org/wiki/Best,_worst_and_average_case

    But given a worst-case input, its performance degrades to O(n 2). Also, when implemented with the "shortest first" policy, the worst-case space complexity is instead bounded by O(log(n)). Heapsort has O(n) time when all elements are the same. Heapify takes O(n) time and then removing elements from the heap is O(1) time for each of the n elements.

  3. Worst-case circuit analysis - Wikipedia

    en.wikipedia.org/wiki/Worst-case_circuit_analysis

    Worst-case analysis is the analysis of a device (or system) that assures that the device meets its performance specifications. These are typically accounting for tolerances that are due to initial component tolerance, temperature tolerance, age tolerance and environmental exposures (such as radiation for a space device).

  4. Amortized analysis - Wikipedia

    en.wikipedia.org/wiki/Amortized_analysis

    Amortized analysis requires knowledge of which series of operations are possible. This is most commonly the case with data structures, which have state that persists between operations. The basic idea is that a worst-case operation can alter the state in such a way that the worst case cannot occur again for a long time, thus "amortizing" its cost.

  5. Worst-case execution time - Wikipedia

    en.wikipedia.org/wiki/Worst-case_execution_time

    A worst case effect needs only to be seen once during testing for the analysis to be able to combine it with other worst case events in its analysis. Typically, the small sections of software can be measured automatically using techniques such as instrumentation (adding markers to the software) or with hardware support such as debuggers, and ...

  6. List of optimization software - Wikipedia

    en.wikipedia.org/wiki/List_of_optimization_software

    The use of optimization software requires that the function f is defined in a suitable programming language and connected at compilation or run time to the optimization software. The optimization software will deliver input values in A , the software module realizing f will deliver the computed value f ( x ) and, in some cases, additional ...

  7. Klee–Minty cube - Wikipedia

    en.wikipedia.org/wiki/Klee–Minty_cube

    In mathematical optimization, the Klee–Minty cube is an example that shows the worst-case computational complexity of many algorithms of linear optimization. It is a deformed cube with exactly 2 D corners in dimension D {\displaystyle D} .

  8. Packrat parser - Wikipedia

    en.wikipedia.org/wiki/Packrat_parser

    This operator utilizes the formal structures of many programming languages to eliminate impossible derivations. For instance, control statements parsing in a standard programming language is mutually exclusive from the first recognized token, e.g., { i f , d o , w h i l e , s w i t c h } {\displaystyle \{if,do,while,switch\}} .

  9. Best-fit bin packing - Wikipedia

    en.wikipedia.org/wiki/Best-fit_bin_packing

    Worst-Fit is a "dual" algorithm to best-fit: it tries to put the next item in the bin with minimum load. This algorithm can behave as badly as Next-Fit , and will do so on the worst-case list for that N F ( L ) = 2 ⋅ O P T ( L ) − 2 {\displaystyle NF(L)=2\cdot \mathrm {OPT} (L)-2} . [ 6 ]

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