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algorithm-pattern | 算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有 | Learning library

 by   greyireland Go Version: Current License: No License

 by   greyireland Go Version: Current License: No License

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kandi X-RAY | algorithm-pattern Summary

algorithm-pattern is a Go library typically used in Tutorial, Learning, Example Codes, LeetCode applications. algorithm-pattern has no bugs, it has no vulnerabilities and it has medium support. You can download it from GitHub.
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
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  • algorithm-pattern has a medium active ecosystem.
  • It has 12016 star(s) with 2138 fork(s). There are 347 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 20 open issues and 4 have been closed. On average issues are closed in 0 days. There are 1 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of algorithm-pattern is current.
algorithm-pattern Support
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algorithm-pattern Support
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quality kandi Quality

  • algorithm-pattern has no bugs reported.
algorithm-pattern Quality
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algorithm-pattern Quality
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securitySecurity

  • algorithm-pattern has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
algorithm-pattern Security
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algorithm-pattern Security
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license License

  • algorithm-pattern does not have a standard license declared.
  • Check the repository for any license declaration and review the terms closely.
  • Without a license, all rights are reserved, and you cannot use the library in your applications.
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algorithm-pattern License
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buildReuse

  • algorithm-pattern releases are not available. You will need to build from source code and install.
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algorithm-pattern Key Features

算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~

algorithm-pattern Examples and Code Snippets

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Community Discussions

Trending Discussions on Learning
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Trending Discussions on Learning

QUESTION

How do purely functional languages handle index-based algorithms?

Asked 2022-Apr-05 at 12:51

I have been trying to learn about functional programming, but I still struggle with thinking like a functional programmer. One such hangup is how one would implement index-heavy operations which rely strongly on loops/order-of-execution.

For example, consider the following Java code:

public class Main {
    public static void main(String[] args) {
        List<Integer> nums = Arrays.asList(1,2,3,4,5,6,7,8,9);
        System.out.println("Nums:\t"+ nums);
        System.out.println("Prefix:\t"+prefixList(nums));
    }
  
    private static List<Integer> prefixList(List<Integer> nums){
      List<Integer> prefix = new ArrayList<>(nums);
      for(int i = 1; i < prefix.size(); ++i)
        prefix.set(i, prefix.get(i) + prefix.get(i-1));
      return prefix;
    }
}
/*
System.out: 
Nums:   [1, 2, 3, 4, 5, 6, 7, 8, 9]
Prefix: [1, 3, 6, 10, 15, 21, 28, 36, 45]
*/

Here, in the prefixList function, the nums list is first cloned, but then there is the iterative operation performed on it, where the value on index i relies on index i-1 (i.e. order of execution is required). Then this value is returned.

What would this look like in a functional language (Haskell, Lisp, etc.)? I have been learning about monads and think they may be relevant here, but my understanding is still not great.

ANSWER

Answered 2022-Mar-07 at 21:17

This is not an index-heavy operation, in fact you can do this with a one-liner with scanl1 :: (a -> a -> a) -> [a] -> [a]:

prefixList = scanl1 (+)

indeed, for the list of Nums, we get:

Prelude> prefixList [1 .. 9]
[1,3,6,10,15,21,28,36,45]

scanl1 takes the first item of the original list as initial value for the accumulator, and yields that. Then each time it takes the accumulator and the next item of the given list, and sums these up as new accumulator, and yields the new accumulator value.

Often one does not need indexing, but enumerating over the list is sufficient. Imperative programming languages often work with for loops with indexes, but in many cases these can be replaced by foreach loops that thus do not take the index into account. In Haskell this also often helps to make algorithms more lazy.

If you really need random access lookups, you can work with data structures such as defined in the array and vector packages.

Source https://stackoverflow.com/questions/71387267

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

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Install algorithm-pattern

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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