Advanced Algorithms and Data Structures
La Rocca, Marcello
- 出版商: Manning
- 出版日期: 2021-06-29
- 售價: $1,980
- 貴賓價: 9.5 折 $1,881
- 語言: 英文
- 頁數: 768
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1617295485
- ISBN-13: 9781617295485
-
相關分類:
Algorithms-data-structures 資料結構與演算法
立即出貨
買這商品的人也買了...
-
$594$564 -
$700$665 -
$352Angular 從零到一
-
$654$621 -
$1,848Usage-Driven Database Design: From Logical Data Modeling through Physical Schema Definition
-
$449收穫,不止 SQL 優化 — 抓住 SQL 的本質
-
$312$296 -
$414$393 -
$534$507 -
$1,700$1,615 -
$1,560$1,482 -
$708$673 -
$834$792 -
$857QEMU/KVM 源碼解析與應用
-
$1,750$1,663 -
$1,650$1,568 -
$3,300$3,234 -
$768$730 -
$754統計學習要素:機器學習中的數據挖掘、推斷與預測, 2/e (The Elements of Statistical Learning: Data Mining, Inference, and Prediction, 2/e)
-
$1,600$1,520 -
$520$411 -
$594$564 -
$594$564 -
$419$398 -
$1,980$1,881
相關主題
商品描述
Advanced Algorithms and Data Structures expands on the basic algorithms you already know to give you a better selection of solutions to different programming problems. As a software engineer, you'll encounter countless programming challenges that initially seem confusing, difficult, or even impossible. Don't despair Many of these "new" problems already have well-established solutions. Algorithms and Data Structures in Action teaches you powerful approaches to a wide range of tricky coding challenges that you can adapt and apply to your own applications. Advanced Algorithms and Data Structures expands on the basic algorithms you already know to give you a better selection of solutions to different programming problems. In it, you'll discover techniques for improving priority queues, efficient caching, clustering data, and more. Each example is fully illustrated with graphics, language-agnostic pseudo-code, and code samples in various languages. When you're done, you will be able to implement advanced and little-known algorithms to deliver better performance from your code. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
作者簡介
Marcello La Rocca is a research scientist and a full-stack engineer focused on optimization algorithms, genetic algorithms, machine learning and quantum computing. He has contributed to large-scale web applications at companies like Twitter and Microsoft, has undertaken applied research in both academia and industry, and authored the Neatsort adaptive sorting algorithm.