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How are C++ Lambda expressions used in data structure processing?

Jun 03, 2024 am 11:49 AM
data structure lambda

C++ Application of Lambda expressions in data structure processing: Filtering elements: Elements can be deleted from the data structure based on conditions. Transform elements: Transform elements into new values. Practical case: Use lambda expression to sort the map in descending order of value.

C++ Lambda 表达式如何应用于数据结构处理?

Application of C++ Lambda expressions in data structure processing

Introduction
Lambda expression Formula is a simple and powerful anonymous function introduced in C++, which has a wide range of applications in data structure processing. This article explores how to leverage lambda expressions to easily and efficiently manipulate data structures.

Filtering elements
Lambda expressions can be used to filter elements from a data structure based on specific criteria. For example, the following code snippet removes all elements greater than 5 from a vector:

vector<int> vec = {1, 2, 3, 4, 5, 6, 7};

vec.erase(std::remove_if(vec.begin(), vec.end(), [](int x) { return x > 5; }), vec.end());
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Transform Elements
Lambda expressions can also be used to transform elements in a data structure into new values. The following code snippet squares each element in a vector:

vector<int> vec = {1, 2, 3, 4, 5};

std::transform(vec.begin(), vec.end(), vec.begin(), [](int x) { return x * x; });
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Practical Example: Sorting Map
Consider a map that stores key-value pairs. We can use lambda expressions to sort the map based on a certain value of the key-value pair, for example, sort it based on the descending order of the value:

std::map<int, string> map = {
  {1, "apple"},
  {3, "banana"},
  {2, "cherry"}
};

std::map<int, string> sorted_map = std::map<int, string>(std::begin(map), std::end(map), std::greater<int>());
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Conclusion
Through this tutorial , we learned how lambda expressions can significantly simplify the task of working with data structures. We can easily leverage lambda expressions for filtering, transforming, and sorting operations, improving code simplicity, readability, and efficiency.

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