Clojure高级算法与数据结构实践指南：25个深入实例

需积分: 10 72 浏览量更新于2024-07-21 收藏 1.92MB PDF 举报

"Clojure Data Structures and Algorithms Cookbook" 是一本由 Packt Publishing 在 2015 年出版的专业书籍，专为Clojure编程语言的爱好者和工业开发者设计。Clojure是一种强大的、实用且表达力极强的编程语言，特别适合处理数据结构和算法。它的设计目标是提供高效且易于操作的数据操纵能力，这对于在文件压缩、程序编译、数据库访问或日常文本编辑等场景中应用复杂算法来说，尤其有用。本书以"25个深入理解和实现高级算法的食谱"为核心内容，作者Rafik Naccache带领读者通过一系列精心设计的实践项目，探索并掌握Clojure中的高级数据结构和算法。这些内容涵盖了诸如排序、搜索、图算法、动态规划等广泛主题，旨在帮助学习者理解这些算法的工作原理，并学会如何在Clojure环境中优雅地应用它们。书中强调了Clojure语言对于抽象复杂性、简化实现的优势，其标准库和 contrib 库提供了丰富的工具和函数，使开发者能够更专注于算法本身，而不是底层实现的繁琐细节。这使得无论是初次接触Clojure的新手还是经验丰富的开发者，在面对算法挑战时都能从中受益，提升数据处理和分析的能力，从而提升工作效率和项目的质量。然而，尽管这本书致力于提供准确的信息，但需要明确的是，所有内容均受版权保护，未经出版商事先书面许可，不得进行任何形式的复制、存储或传播。此外，尽管作者和Packt Publishing已尽力确保信息的准确性，但书中提供的内容并不构成任何形式的保证，无论是明示的还是暗示的，都不承担因本书导致的直接或间接损害的责任。 "Clojure Data Structures and Algorithms Cookbook"是一本极具实用价值的资源，它不仅提供了丰富的算法实例，还展示了Clojure语言在处理复杂问题时的独特优势，是任何希望在Clojure领域深化技能的开发者的理想指南。通过阅读和实践书中的内容，读者将能够更好地理解和运用这些关键的数据结构和算法技巧，为自己的IT项目增添更多可能性。

Revisiting Arrays

In this chapter, we will see how you can use array abstractions in Clojure to cover the following

topics:

f Efciently compressing a byte array

f Using Pascal's triangle to draw fractals

f Simulating multithreading using time-sharing

f Simulating a call stack using arrays

Introduction

In this book, we will go on a journey through the broad land of algorithms and data structures,

taking a ride on the comfortable vehicle that is Clojure programming language.

First, we will take a look at arrays, exploring their particular structures to tackle problems as

interesting as compression, fractal drawing, multithreading, and call stacks.

Then we will elaborate on linked lists, transforming them in to doubly linked lists. We will do

this to speed up access to their elements, build parsers, and devise fast random access.

The next step of our trip will concern trees of data. We'll show you how to implement self-

balancing red-black trees, how to design efcient key-value stores — thanks to B-trees (way

to go in order to design undo-capable text editors), and lastly, a methodology to construct

autocomplete text typing systems.

After that, we'll focus on exploring some optimization and machine-learning techniques. We

will see how to set up a recommendation engine, the way to go to optimize a problem where

costs and prots are involved, a methodology to nd the best possible paths in graphs, and

how to summarize texts.

www.it-ebooks.info

Revisiting Arrays

Then we'll study the topic of logic programming, analyzing some website trafc logs to detect

visitors of interest to us. Doing this, we'll dive into the problem of type inferencing for the Java

language, and simulate a turn of a checkers game.

At that point, we'll talk about asynchronous programming as a means of tackling difcult

problems. We'll build a tiny web spider, design an interactive HTML5 game, and design a

complex online taxi-booking solution.

The last rally point of this trip, but certainly not the least, is that we'll have a look at the higher

order functions and transducers at the heart of Clojure. We'll design a recursive descent

parser using a trampoline, build a reusable mini rewall thanks to transducers, and lastly,

explore the continuation passing style as a tool to design a simple unication engine.

This will be quite a tour, in which we will bring to life various real-world use cases related to the

essential theory of computing as far as data structures and algorithms are involved, which are

all served by the high expressive power of Clojure. By the end of this book, you'll be familiar

with many of the advanced concepts that fuel most of the nontrivial applications of our world

while you enhance your mastery of Clojure!

Efciently compressing a byte array

Compressing a byte array is a matter of recognizing repeating patterns within a byte sequence

and devising a method that can represent the same underlying information to take advantage

of these discovered repetitions.

To get a rough idea of how this works, imagine having a sequence as:

["a" "a" "a" "b" "b" "b" "b" "b" "b" "b" "c" "c"]

It is intuitively more efcient to represent this as:

[3 times "a", 7 times "b", 2 times "c"]

Now, we are going to use a methodology based on a well-known algorithm, that is, the LZ77

compression method. LZ77 is, despite being quite old, the basis of most of all the well-known

and currently used compression methods, especially the Deate algorithm.

Deate is at the heart of the ZIP family of compression algorithms. It

uses a slightly modied version of LZ77 plus a special encoding, that is,

the Huffman encoding.

The point of LZ77 is to walk a sequence and recognize a pattern in the past elements that will

occur in the upcoming elements, replacing those with a couple of values: how many elements

should go backwards in order to locate the recurring pattern, which is called "distance"; and

how long is the recurring pattern, which is labeled as "length".

www.it-ebooks.info

剩余216页未读，继续阅读

vanridin

粉丝: 108
资源: 1187

Clojure高级算法与数据结构实践指南：25个深入实例

Clojure Data Structures and Algorithms Cookbook

用clojure写一个股票交易回测软件

use the clojure write a Texas Hold’em poker Game

clojure是jvm语言吗

clojure与MariaDB兼容吗？如何用clojure操作mariadb数据库

用clojure与mariadb数据库交互的代码示例

nginx clojure

idea集成Clojure

用clojure连接mariadb数据库

clojure编程 pdf

最新资源