Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics (Hardcover) (數值演算法：電腦視覺、機器學習與圖形的技術方法)
Justin Solomon
- 出版商: A K Peters
- 出版日期: 2015-07-17
- 售價: $2,800
- 貴賓價: 9.5 折 $2,660
- 語言: 英文
- 頁數: 400
- 裝訂: Hardcover
- ISBN: 1482251884
- ISBN-13: 9781482251883
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相關分類:
Machine Learning、Algorithms-data-structures、Computer Vision
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其他版本:
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics
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相關主題
商品描述
Numerical Algorithms: Methods for Computer Vision, Machine Learning, and Graphics presents a new approach to numerical analysis for modern computer scientists. Using examples from a broad base of computational tasks, including data processing, computational photography, and animation, the textbook introduces numerical modeling and algorithmic design from a practical standpoint and provides insight into the theoretical tools needed to support these skills.
The book covers a wide range of topics―from numerical linear algebra to optimization and differential equations―focusing on real-world motivation and unifying themes. It incorporates cases from computer science research and practice, accompanied by highlights from in-depth literature on each subtopic. Comprehensive end-of-chapter exercises encourage critical thinking and build students’ intuition while introducing extensions of the basic material.
The text is designed for advanced undergraduate and beginning graduate students in computer science and related fields with experience in calculus and linear algebra. For students with a background in discrete mathematics, the book includes some reminders of relevant continuous mathematical background.
商品描述(中文翻譯)
《數值算法：計算機視覺、機器學習和圖形學的方法》提出了一種現代計算機科學家的數值分析新方法。教科書使用來自廣泛的計算任務的例子，包括數據處理、計算攝影和動畫，從實際角度介紹了數值建模和算法設計，並提供了支持這些技能所需的理論工具的見解。
本書涵蓋了從數值線性代數到優化和微分方程等各種主題，著重於現實世界的動機和統一主題。它包含了來自計算機科學研究和實踐的案例，並附有每個子主題的深入文獻亮點。全面的章末習題鼓勵批判性思維，培養學生的直覺，同時介紹基礎材料的擴展。
本書適用於具有微積分和線性代數經驗的高年級本科生和初級研究生，專業為計算機科學及相關領域。對於具有離散數學背景的學生，本書還包括一些相關連續數學背景的提醒。
