Advanced Algorithms and Data Structures (Paperback)
暫譯: 進階演算法與資料結構 (平裝本)
La Rocca, Marcello
- 出版商: Manning
- 出版日期: 2021-06-29
- 定價: $2,100
- 售價: 9.0 折 $1,890
- 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
-
相關翻譯:
高級算法和數據結構 (簡中版)
立即出貨 (庫存 < 3)
買這商品的人也買了...
-
程式設計大師智慧結晶－與主流程式語言的創始者對話 (Masterminds of Programming: Conversations with the Creators of Major Programming Languages)$580$458 -
最潮 HTML5 + CSS3 網頁版型設計 Standard Layout‧Grid Layout‧Single Page Layout$450$383 -
Unit Testing Principles, Practices, and Patterns (Paperback)$1,840$1,748 -
Grokking Deep Reinforcement Learning (Paperback)$1,750$1,663 -
$792C++ 新經典 -
QEMU/KVM 源碼解析與應用$1,008$958 -
$1,710Data Pipelines with Apache Airflow (Paperback) -
$1,080Algorithmic Thinking: A Problem-Based Introduction -
Python 3.9 技術手冊$560$442 -
網頁美編的救星！零基礎也能看得懂的 HTML & CSS 網頁設計$550$435 -
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)$954$906 -
白話演算法！培養程式設計的邏輯思考 (Grokking Algorithms: An illustrated guide for programmers and other curious people)$520$468 -
Entity Framework Core in Action, 2/e (Paperback)$2,200$2,090 -
集成式學習：Python 實踐！整合全部技術，打造最強模型 (Hands-On Ensemble Learning with Python: Build highly optimized ensemble machine learning models using scikit-learn and Keras)$750$638 -
Data-Oriented Programming: Reduce Complexity by Rethinking Data (Paperback)$2,170$2,062 -
21世紀諾貝爾獎 2001-2021 (全新夢想版，一套四冊)$1,500$1,275 -
EN 帶你寫個作業系統：來趟 RISC-V 開發輕旅行 (iThome鐵人賽系列書)$600$468 -
Object-Oriented Python｜以 GUI 和遊戲程式學物件導向程式設計 (Object-Oriented Python)$520$411 -
Scikit-learn 詳解與企業應用：機器學習最佳入門與實戰$880$695 -
Think Like a CTO (Paperback)$1,900$1,805 -
Python 精解實例 - PySide 6/PyQt 6 強大開發親身體驗$1,280$1,011 -
$421CPU 眼裡的 C/C++ -
AI 提示工程師的 16堂關鍵必修課：精準提問 x 優化提示 x 有效查詢 x 文字生成 x AI繪圖$620$465 -
科技巨頭的演算法大揭祕：資料科學家必讀的資料科學與機器學習實戰筆記（iThome鐵人賽系列書）【軟精裝】$680$530 -
$1,845Build a Large Language Model (from Scratch) (Paperback)
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.
商品描述(中文翻譯)
《進階演算法與資料結構》擴展了您已經了解的基本演算法，為您提供更好的解決方案選擇，以應對不同的程式設計問題。
作為一名軟體工程師，您將面臨無數最初看起來令人困惑、困難甚至不可能的程式設計挑戰。不要絕望，許多這些「新」問題已經有了成熟的解決方案。《演算法與資料結構實戰》教您針對各種棘手的編碼挑戰採用強大的方法，這些方法您可以調整並應用到自己的應用程式中。
《進階演算法與資料結構》擴展了您已經了解的基本演算法，為您提供更好的解決方案選擇，以應對不同的程式設計問題。在本書中，您將發現改善優先佇列、高效快取、資料聚類等技術。每個範例都配有圖形、與語言無關的偽程式碼以及各種語言的程式碼範例。完成後，您將能夠實現進階且鮮為人知的演算法，以提升程式碼的效能。
購買印刷版書籍可獲得Manning Publications提供的免費電子書，格式包括PDF、Kindle和ePub。
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.
作者簡介(中文翻譯)
Marcello La Rocca 是一位研究科學家及全端工程師，專注於優化演算法、遺傳演算法、機器學習和量子計算。他曾在 Twitter 和 Microsoft 等公司貢獻於大型網路應用程式，並在學術界和產業界進行應用研究，還創作了 Neatsort 自適應排序演算法。
