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Architecture of Advanced Numerical Analysis Systems: Designing a Scientific Computing System using OCaml - Softcover
Inhaltsangabe
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
- Optimize core operations based on N-dimensional arrays
- Design and implement an industry-level algorithmic differentiation module
- Implement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiation
- Design and optimize a computation graph module, and understand the benefits it brings to the numerical computing library
- Accommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computation
- Use the Zoo system for efficient scripting, code sharing, service deployment, and composition
- Design and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance
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.
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Über die Autorin bzw. den Autor
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.
Von der hinteren Coverseite
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.
You will:
- Optimize core operations based on N-dimensional arrays
- Design and implement an industry-level algorithmic differentiation module
- Implement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiation
- Design and optimize a computation graph module, and understand the benefits it brings to the numerical computing library
- Accommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computation
- Use the Zoo system for efficient scripting, code sharing, service deployment, and composition
- Design and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
- VerlagApress
- Erscheinungsdatum2022
- ISBN 10 1484288521
- ISBN 13 9781484288528
- EinbandTapa blanda
- SpracheEnglisch
- Auflage1
- Anzahl der Seiten488
- Kontakt zum HerstellerNicht verfügbar
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Architecture of Advanced Numerical Analysis Systems: Designing a Scientific Computing System Using Ocaml
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Architecture of Advanced Numerical Analysis Systems
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Architecture Of Advanced Numerical Analysis Systems 1st ed.
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Computational OCaml
Verlag:
Springer, Berlin|OCaml Software Foundation|Apress, 2023
ISBN 10: 1484288521
ISBN 13: 9781484288528
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Zustand: New. 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 maintainin. Bestandsnummer des Verkäufers 693976809
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Architecture of Advanced Numerical Analysis Systems: Designing a Scientific Computing System Using Ocaml (Paperback or Softback)
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ISBN 13: 9781484288528
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Architecture of Advanced Numerical Analysis Systems
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 LearnOptimize core operations based on N-dimensional arraysDesign and implement an industry-level algorithmic differentiation moduleImplement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiationDesign and optimize a computation graph module, and understand the benefits it brings to the numerical computing libraryAccommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computationUse the Zoo system for efficient scripting, code sharing, service deployment, and compositionDesign and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance 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. 488 pp. Englisch. Bestandsnummer des Verkäufers 9781484288528
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Architecture Of Advanced Numerical Analysis Systems 1st ed.
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Architecture of Advanced Numerical Analysis Systems: Designing a Scientific Computing System using OCaml
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 LearnOptimize core operations based on N-dimensional arraysDesign and implement an industry-level algorithmic differentiation moduleImplement mathematical optimization, regression, and deep neural network functionalities based on algorithmic differentiationDesign and optimize a computation graph module, and understand the benefits it brings to the numerical computing libraryAccommodate the growing number of hardware accelerators (e.g. GPU, TPU) and execution backends (e.g. web browser, unikernel) of numerical computationUse the Zoo system for efficient scripting, code sharing, service deployment, and compositionDesign and implement a distributed computing engine to work with a numerical computing library, providing convenient APIs and high performance 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. Bestandsnummer des Verkäufers 9781484288528
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