数据结构与算法基础知识 Data structure is the foundation of algorithm design and efficient problem solving

本文探讨了数据结构在计算机科学中的重要性,它是算法设计和高效问题解决的基础。文章介绍了数组、链表、树、堆、哈希表和图等基本数据结构,强调了选择合适数据结构对优化程序性能的重要性,并通过实例展示了它们的工作原理和应用场景。

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作者:禅与计算机程序设计艺术

1.简介

Data structure is the foundation of algorithm design and efficient problem solving in computer science. Almost all programming languages provide various built-in data structures like arrays, lists, stacks, queues, trees, graphs etc. Each data structure has its own set of properties and operations that can be used for different purposes efficiently. In this article, we will discuss briefly about each category to get an idea on how they work and their basic terminologies. We will also present some core concepts such as time complexity analysis, space complexity analysis, and their real-world applications in industry.
So let’s begin by exploring the topic through these data structures:
1. Arrays: An array is a collection of elem

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