Architecture of Advanced Numerical Analysis Systems
Liang Wang,Jianxin Zhao
Verkauft von Romtrade Corp., STERLING HEIGHTS, MI, USA
AbeBooks-Verkäufer seit 17. April 2013
Neu - Softcover
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenBeispielbild für diese ISBN
Verkauft von Romtrade Corp., STERLING HEIGHTS, MI, USA
AbeBooks-Verkäufer seit 17. April 2013
Zustand: Neu
Anzahl: 2 verfügbar
In den Warenkorb legenBrand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.
Bestandsnummer des Verkäufers ABNR-209397
This unique open access book applies the functional OCaml programming language to numerical or computational weighted data science, engineering, and scientific applications. This book is based on the authors' first-hand experience building and maintaining Owl, an OCaml-based numerical computing library.
You'll first learn the various components in a modern numerical computation library. Then, you will learn how these components are designed and built up and how to optimize their performance. After reading and using this book, you'll have the knowledge required to design and build real-world complex systems that effectively leverage the advantages of the OCaml functional programming language.
What You Will Learn
Who This Book Is For
Those with prior programming experience, especially with the OCaml programming language, or with scientific computing experience who may be new to OCaml. Most importantly, it is for those who are eager to understand not only how to use something, but also how it is built up.
Liang Wang is the Chief AI Architect at Nokia, the Chief Scientific Officer at iKVA, a Senior Researcher at the University of Cambridge, and an Intel Software Innovator. He has a broad research interest in artificial intelligence, machine learning, operating systems, computer networks, optimization theory, and graph theory.
Jianxin Zhao is a PhD graduate from the University of Cambridge, supervised by Prof. Jon Crowcroft. His research interests include numerical computation, high-performance computing, machine learning, and their application in the real world.
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