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Probability and Algorithms
Probability and Algorithms

Some of the hardest computational problems have been successfully attacked through the use of probabilistic algorithms, which have an element of randomness to them. Concepts from the field of probability are also increasingly useful in analyzing the performance of algorithms, broadening our understanding beyond that provided by the...

Functional Interfaces in Java: Fundamentals and Examples
Functional Interfaces in Java: Fundamentals and Examples
Reduce development time by organizing your programs as chains of functional interfaces and see that the advantages of using functional interfaces include the flexibility and power of inlined functional chains and reuse of functional methods utilized throughout the Java API. You’ll see how complex logical expressions can be reduced...
Distributed Computing with Go: Practical concurrency and parallelism for Go applications
Distributed Computing with Go: Practical concurrency and parallelism for Go applications

A tutorial leading the aspiring Go developer to full mastery of Golang's distributed features.

Key Features

  • This book provides enough concurrency theory to give you a contextual understanding of Go concurrency
  • It gives weight to synchronous and asynchronous data...
C++17 Standard Library Quick Reference: A Pocket Guide to Data Structures, Algorithms, and Functions
C++17 Standard Library Quick Reference: A Pocket Guide to Data Structures, Algorithms, and Functions
This quick reference is a condensed guide to the essential data structures, algorithms, and functions provided by the C++17 Standard Library. It does not explain the C++ language or syntax, but is accessible to anyone with basic C++ knowledge or programming experience. Even the most experienced C++ programmer will learn a thing or two...
Hands-On Design Patterns with C# and .NET Core: Write clean and maintainable code by using reusable solutions to common software design problems
Hands-On Design Patterns with C# and .NET Core: Write clean and maintainable code by using reusable solutions to common software design problems

Apply design patterns to solve problems in software architecture and programming using C# 7.x and .NET Core 2

Key Features

  • Enhance your programming skills by implementing efficient design patterns for C# and .NET
  • Explore design patterns for functional and reactive...
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA
Hands-On GPU Programming with Python and CUDA: Explore high-performance parallel computing with CUDA

Build GPU-accelerated high performing applications with Python 2.7, CUDA 9, and open source libraries such as PyCUDA and scikit-cuda. We recommend the use of Python 2.7 as this version has stable support across all libraries used in this book.

Key Features

  • Get to grips with GPU programming...
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
Carry out a variety of advanced statistical analyses including generalized additive models, mixed effects models, multiple imputation, machine learning, and missing data techniques using R. Each chapter starts with conceptual background information about the techniques, includes multiple examples using R to achieve results, and...
Hands-On Enterprise Automation with Python.: Automate common administrative and security tasks with Python
Hands-On Enterprise Automation with Python.: Automate common administrative and security tasks with Python

Invent your own Python scripts to automate your infrastructure

Key Features

  • Make the most of Python libraries and modules to automate your infrastructure
  • Leverage Python programming to automate server configurations and administration tasks
  • Efficiently...
Interleaving Concepts for Digital-to-Analog Converters: Algorithms, Models, Simulations and Experiments
Interleaving Concepts for Digital-to-Analog Converters: Algorithms, Models, Simulations and Experiments

Modern complementary metal oxide semiconductor (CMOS) digital-to-analog converters (DACs) are limited in their bandwidth due to technological constraints. These limitations can be overcome by parallel DAC architectures, which are called interleaving concepts. Christian Schmidt analyzes the limitations and the potential of two...

Pro TBB: C++ Parallel Programming with Threading Building Blocks
Pro TBB: C++ Parallel Programming with Threading Building Blocks

This open access book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel programming experts, this book reflects their collective decades of experience in developing and teaching parallel programming with TBB, offering their insights in an approachable manner. Throughout...

Python Parallel Programming Cookbook
Python Parallel Programming Cookbook

Master efficient parallel programming to build powerful applications using Python

About This Book

  • Design and implement efficient parallel software
  • Master new programming techniques to address and solve complex programming problems
  • Explore the world of parallel programming...
Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications
Decomposition Methodology For Knowledge Discovery And Data Mining: Theory And Applications
The book presents an interesting and pleasant introduction to the topic, which can guide the reader to the knowledge of the existing decomposition methods, and to the choice of those most promising for the problems he has to face. -- Zentralblatt MATH

Data Mining is the science and technology of exploring data in
...
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