{"id":37995,"date":"2024-07-26T06:32:17","date_gmt":"2024-07-26T06:32:17","guid":{"rendered":"https:\/\/www.railscarma.com\/?p=37995"},"modified":"2024-07-26T06:32:20","modified_gmt":"2024-07-26T06:32:20","slug":"a-guide-to-memoization-in-ruby","status":"publish","type":"post","link":"https:\/\/www.railscarma.com\/sv\/blogg\/a-guide-to-memoization-in-ruby\/","title":{"rendered":"A Guide to Memoization in Ruby"},"content":{"rendered":"
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Memoization is a programming technique used to optimize the performance of functions by caching their results. In Ruby, memoization is often used to avoid redundant calculations and improve efficiency, especially in situations where a method is called multiple times with the same arguments. This guide will walk you through the basics of memoization in Ruby, including how to implement it with examples.<\/p>\n

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What is Memoization?<\/b><\/h2>\n

Memoization involves storing the results of expensive function calls and reusing these results when the same inputs occur again. This can significantly speed up performance in scenarios where computations are repeated with identical inputs.<\/p>\n

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How Ruby Memoization Works<\/b><\/h2>\n

Memoization works by caching the results of method calls in an instance variable. When the method is called with the same parameters, the cached result is returned instead of recalculating the result.<\/p>\n

Basic Example
Here\u2019s a simple example to illustrate memoization in Ruby:<\/p>\n

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class Fibonacci\n  def initialize\n    @cache = {}\n  end\n\n  def fibonacci(n)\n    return n if n <= 1\n    return @cache[n] if @cache.key?(n)\n\n    @cache[n] = fibonacci(n - 1) + fibonacci(n - 2)\n  end\nend\n\nfib = Fibonacci.new\nputs fib.fibonacci(10) # Output: 55
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F\u00f6rklaring:<\/b><\/p>\n