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  2. Naismith's rule - Wikipedia

    en.wikipedia.org/wiki/Naismith's_rule

    The rule has been tested on fell running times and found to be reliable. [17] Scarf proposed this equivalence in 1998. [4] [6] As you can see, the Scarf's assumption allows also to calculate the time for each speed, not just one as in case of the original Naismith rule.

  3. Time complexity - Wikipedia

    en.wikipedia.org/wiki/Time_complexity

    Informally, this means that the running time increases at most linearly with the size of the input. More precisely, this means that there is a constant c such that the running time is at most for every input of size n. For example, a procedure that adds up all elements of a list requires time proportional to the length of the list, if the ...

  4. Peter Riegel - Wikipedia

    en.wikipedia.org/wiki/Peter_Riegel

    Race time prediction formula, running course certification. Peter Riegel (January 30, 1935 – May 28, 2018) was an American research engineer who developed a mathematical formula for predicting race times for runners and other athletes given a certain performance at another distance.

  5. CPU time - Wikipedia

    en.wikipedia.org/wiki/CPU_time

    In contrast, elapsed real time (or simply real time, or wall-clock time) is the time taken from the start of a computer program until the end as measured by an ordinary clock. Elapsed real time includes User time, System time, plus time that the process was not running for any reason, such as when its execution was preempted.

  6. Longest-processing-time-first scheduling - Wikipedia

    en.wikipedia.org/wiki/Longest-processing-time...

    The running time of LPT is dominated by the sorting, which takes O(n log n) time, where n is the number of inputs. LPT is monotone in the sense that, if one of the input numbers increases, the objective function (the largest sum or the smallest sum of a subset in the output) weakly increases. [2] This is in contrast to Multifit algorithm.

  7. Analysis of algorithms - Wikipedia

    en.wikipedia.org/wiki/Analysis_of_algorithms

    Doubling the input size doubles the run-time, quadrupling the input size quadruples the run-time, and so forth. On the other hand, Computer B, running the binary search program, exhibits a logarithmic growth rate. Quadrupling the input size only increases the run-time by a constant amount (in this example, 50,000 ns). Even though Computer A is ...

  8. Delta timing - Wikipedia

    en.wikipedia.org/wiki/Delta_timing

    Delta time or delta timing is a concept used amongst programmers in relation to hardware and network responsiveness. [1] In graphics programming, the term is usually used for variably updating scenery based on the elapsed time since the game last updated, [2] (i.e. the previous "frame") which will vary depending on the speed of the computer, and how much work needs to be done in the program at ...

  9. Execution (computing) - Wikipedia

    en.wikipedia.org/wiki/Execution_(computing)

    Runtime, run time, or execution time is the final phase of a computer program ' s life cycle, in which the code is being executed on the computer's central processing unit (CPU) as machine code. In other words, "runtime" is the running phase of a program.