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  2. Array slicing - Wikipedia

    en.wikipedia.org/wiki/Array_slicing

    Cilk Plus's array slicing differs from Fortran's in two ways: the second parameter is the length (number of elements in the slice) instead of the upper bound, in order to be consistent with standard C libraries; slicing never produces a temporary, and thus never needs to allocate memory.

  3. Comparison of programming languages (array) - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_programming...

    The following list contains syntax examples of how a range of element of an array can be accessed. In the following table: first – the index of the first element in the slice; last – the index of the last element in the slice; end – one more than the index of last element in the slice; len – the length of the slice (= end - first)

  4. List comprehension - Wikipedia

    en.wikipedia.org/wiki/List_comprehension

    Here, the list [0..] represents , x^2>3 represents the predicate, and 2*x represents the output expression.. List comprehensions give results in a defined order (unlike the members of sets); and list comprehensions may generate the members of a list in order, rather than produce the entirety of the list thus allowing, for example, the previous Haskell definition of the members of an infinite list.

  5. Program slicing - Wikipedia

    en.wikipedia.org/wiki/Program_slicing

    Program slicing can be used in debugging to locate source of errors more easily. Other applications of slicing include software maintenance, optimization, program analysis, and information flow control. Slicing techniques have been seeing a rapid development since the original definition by Mark Weiser. At first, slicing was only static, i.e ...

  6. Slice sampling - Wikipedia

    en.wikipedia.org/wiki/Slice_sampling

    Slice sampling is a Markov chain method and as such serves the same purpose as Gibbs sampling and Metropolis. Unlike Metropolis, there is no need to manually tune the candidate function or candidate standard deviation. Recall that Metropolis is sensitive to step size. If the step size is too small random walk causes slow decorrelation. If the ...

  7. Adaptive step size - Wikipedia

    en.wikipedia.org/wiki/Adaptive_step_size

    Let us now apply Euler's method again with a different step size to generate a second approximation to y(t n+1). We get a second solution, which we label with a (). Take the new step size to be one half of the original step size, and apply two steps of Euler's method. This second solution is presumably more accurate.

  8. Making financial resolutions? Keep your list short and specific

    www.aol.com/news/making-financial-resolutions...

    So you want to get your financial life in order. And you swear that 2025 will be the year you do it. In fact, you’re making it your new year’s resolution.

  9. Round-robin scheduling - Wikipedia

    en.wikipedia.org/wiki/Round-robin_scheduling

    A Round Robin preemptive scheduling example with quantum=3. Round-robin (RR) is one of the algorithms employed by process and network schedulers in computing. [1] [2] As the term is generally used, time slices (also known as time quanta) [3] are assigned to each process in equal portions and in circular order, handling all processes without priority (also known as cyclic executive).