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  2. Page replacement algorithm - Wikipedia

    en.wikipedia.org/wiki/Page_replacement_algorithm

    The theoretically optimal page replacement algorithm (also known as OPT, clairvoyant replacement algorithm, or Bélády's optimal page replacement policy) [3] [4] [2] is an algorithm that works as follows: when a page needs to be swapped in, the operating system swaps out the page whose next use will occur farthest in the future. For example, a ...

  3. Cache replacement policies - Wikipedia

    en.wikipedia.org/wiki/Cache_replacement_policies

    Bélády's algorithm is the optimal cache replacement policy, but it requires knowledge of the future to evict lines that will be reused farthest in the future. A number of replacement policies have been proposed which attempt to predict future reuse distances from past access patterns, [23] allowing them to approximate the optimal replacement ...

  4. Adaptive replacement cache - Wikipedia

    en.wikipedia.org/wiki/Adaptive_replacement_cache

    Adaptive Replacement Cache (ARC) is a page replacement algorithm with better performance [1] than LRU (least recently used). This is accomplished by keeping track of both frequently used and recently used pages plus a recent eviction history for both. The algorithm was developed [2] at the IBM Almaden Research Center.

  5. List of optimization software - Wikipedia

    en.wikipedia.org/wiki/List_of_optimization_software

    IMSL Numerical Libraries – linear, quadratic, nonlinear, and sparse QP and LP optimization algorithms implemented in standard programming languages C, Java, C# .NET, Fortran, and Python. IOSO – (Indirect optimization on the basis of Self-Organization) a multi-objective, multidimensional nonlinear optimization technology.

  6. Pseudo-LRU - Wikipedia

    en.wikipedia.org/wiki/Pseudo-LRU

    Pseudo-LRU or PLRU is a family of cache algorithms which improve on the performance of the Least Recently Used (LRU) algorithm by replacing values using approximate measures of age rather than maintaining the exact age of every value in the cache.

  7. Memoization - Wikipedia

    en.wikipedia.org/wiki/Memoization

    IncPy – A custom Python interpreter that performs automatic memoization (with no required user annotations) Dave Herman's Macros for defining memoized procedures in Racket. Memoize.pm – a Perl module that implements memoized functions. Java memoization – an example in Java using dynamic proxy classes to create a generic memoization pattern.

  8. Least frequently used - Wikipedia

    en.wikipedia.org/wiki/Least_frequently_used

    Least Frequently Used (LFU) is a type of cache algorithm used to manage memory within a computer. The standard characteristics of this method involve the system keeping track of the number of times a block is referenced in memory.

  9. Huffman coding - Wikipedia

    en.wikipedia.org/wiki/Huffman_coding

    In computer science and information theory, a Huffman code is a particular type of optimal prefix code that is commonly used for lossless data compression.The process of finding or using such a code is Huffman coding, an algorithm developed by David A. Huffman while he was a Sc.D. student at MIT, and published in the 1952 paper "A Method for the Construction of Minimum-Redundancy Codes".