Beginning Java Data Structures and Algorithms

James Cutajar

商品描述

Though your application serves its purpose, it might not be a high performer. Learn techniques to accurately predict code efficiency, easily dismiss inefficient solutions, and improve the performance of your application.

Key Features

  • Explains in detail different algorithms and data structures with sample problems and Java implementations where appropriate
  • Includes interesting tips and tricks that enable you to efficiently use algorithms and data structures
  • Covers over 20 topics using 15 practical activities and exercises

Book Description

Learning about data structures and algorithms gives you a better insight on how to solve common programming problems. Most of the problems faced everyday by programmers have been solved, tried, and tested. By knowing how these solutions work, you can ensure that you choose the right tool when you face these problems.

This book teaches you tools that you can use to build efficient applications. It starts with an introduction to algorithms and big O notation, later explains bubble, merge, quicksort, and other popular programming patterns. You'll also learn about data structures such as binary trees, hash tables, and graphs. The book progresses to advanced concepts, such as algorithm design paradigms and graph theory. By the end of the book, you will know how to correctly implement common algorithms and data structures within your applications.

What you will learn

  • Understand some of the fundamental concepts behind key algorithms
  • Express space and time complexities using Big O notation.
  • Correctly implement classic sorting algorithms such as merge and quicksort
  • Correctly implement basic and complex data structures
  • Learn about different algorithm design paradigms, such as greedy, divide and conquer, and dynamic programming
  • Apply powerful string matching techniques and optimize your application logic
  • Master graph representations and learn about different graph algorithms

Who this book is for

If you want to better understand common data structures and algorithms by following code examples in Java and improve your application efficiency, then this is the book for you. It helps to have basic knowledge of Java, mathematics and object-oriented programming techniques.

Table of Contents

  1. Algorithms and Complexities
  2. Sorting Algorithms and Fundamental Data Structures
  3. Hash Tables and Binary Search Trees
  4. Algorithm Design Paradigms
  5. String Matching Algorithms
  6. Graphs, Prime Numbers, and Complexity Classes

商品描述(中文翻譯)

儘管您的應用程式能夠達到其目的,但可能並不是高效能的。學習技巧,準確預測程式碼效能,輕鬆排除低效解決方案,並改善應用程式的效能。

主要特點:
- 詳細解釋不同的演算法和資料結構,並提供適當的範例問題和Java實作。
- 包含有趣的技巧,讓您能夠有效地使用演算法和資料結構。
- 通過15個實際活動和練習,涵蓋超過20個主題。

書籍描述:
學習資料結構和演算法可以更好地理解如何解決常見的程式設計問題。大多數程式設計師每天面臨的問題都已經有解決方案,並經過驗證和測試。通過了解這些解決方案的工作原理,您可以確保在面對這些問題時選擇正確的工具。

本書教授您可以用來建立高效應用程式的工具。它從演算法和大O符號的介紹開始,然後解釋了冒泡排序、合併排序、快速排序等常見的程式設計模式。您還將學習二元樹、雜湊表和圖形等資料結構。本書還介紹了高級概念,如演算法設計範式和圖論。通過閱讀本書,您將學會如何在應用程式中正確實現常見的演算法和資料結構。

您將學到的內容:
- 理解關鍵演算法背後的一些基本概念。
- 使用大O符號表達空間和時間複雜度。
- 正確實現經典排序演算法,如合併排序和快速排序。
- 正確實現基本和複雜的資料結構。
- 了解不同的演算法設計範式,如貪婪法、分治法和動態規劃。
- 應用強大的字串匹配技術,優化應用程式邏輯。
- 掌握圖形表示法,並學習不同的圖形演算法。

本書適合對Java編程有基本知識、數學和物件導向編程技巧的讀者,希望通過遵循Java代碼示例來更好地理解常見的資料結構和演算法,並提高應用程式效能。

目錄:
1. 演算法和複雜度
2. 排序演算法和基本資料結構
3. 雜湊表和二元搜尋樹
4. 演算法設計範式
5. 字串匹配演算法
6. 圖形、質數和複雜度類別