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Algorithms in Real Algebraic Geometry (Algorithms and Computation in Mathematics, Vol. 10)
Algorithms in Real Algebraic Geometry (Algorithms and Computation in Mathematics, Vol. 10)

This is the first graduate textbook on the algorithmic aspects of real algebraic geometry. The main ideas and techniques presented form a coherent and rich body of knowledge. Mathematicians will find relevant information about the algorithmic aspects. Researchers in computer science and engineering will find the required mathematical...

Data Science Fundamentals for Python and MongoDB
Data Science Fundamentals for Python and MongoDB
Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate....
Instant R Starter
Instant R Starter

Jump into the R programming language and go beyond "Hello World!"

Overview

  • Learn something new in an Instant! A short, fast, focused guide delivering immediate results.
  • Basic concepts of the R language
  • Discover tips and tricks for working with...
Learning SciPy for Numerical and Scientific Computing Second Edition
Learning SciPy for Numerical and Scientific Computing Second Edition

Quick solutions to complex numerical problems in physics, applied mathematics, and science with SciPy

About This Book

  • Use different modules and routines from the SciPy library quickly and efficiently
  • Create vectors and matrices and learn how to perform standard mathematical operations...
GNU Octave Beginner's Guide
GNU Octave Beginner's Guide

Using a range of very different examples, this beginner's guide will take you through the most important aspects of GNU Octave. The book starts by introducing how you work with mathematical objects like vectors and matrices, demonstrating how to perform simple arithmetic operations on these objects and explaining how to use some of...

Calculus for Computer Graphics
Calculus for Computer Graphics

Students studying computer animation and computer games have to be familiar with geometry, matrices, vectors, rotation transforms, quaternions, curves and surfaces, and as computer graphics software becomes increasingly sophisticated, calculus is also being used to resolve its associated problems.

The author draws upon his...

NumPy 1.5 Beginner's Guide
NumPy 1.5 Beginner's Guide

An action packed guide for the easy-to-use, high performance, free open source NumPy mathematical library using real-world examples

  • The first and only book that truly explores NumPy practically
  • Perform high performance calculations with clean and efficient NumPy code
  • Analyze large data sets...
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning
Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...

BeagleBone Cookbook: Software and Hardware Problems and Solutions
BeagleBone Cookbook: Software and Hardware Problems and Solutions

BeagleBone is an inexpensive web server, Linux desktop, and electronics hub that includes all the tools you need to create your own projects—whether it’s robotics, gaming, drones, or software-defined radio. If you’re new to BeagleBone Black, or want to explore more of its capabilities, this cookbook provides scores...

Teach Yourself Algebra for Electronic Circuits
Teach Yourself Algebra for Electronic Circuits

The way to go for problem-solving skills and applications, TEACH YOURSELF ALGEBRA FOR ELECTRIC CIRCUITS is the self-tutoring guide that's just right for electronics.

* Math that goes beyond elementary algebra, without the burden of heavy-duty calculus you don't need
* All the tools for solving any problem in a single place--no
...

Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific applications, 2nd Edition
Julia 1.0 Programming: Dynamic and high-performance programming to build fast scientific applications, 2nd Edition

Enter the exciting world of Julia, a high-performance language for technical computing

Key Features

  • Leverage Julia's high speed and efficiency for your applications
  • Work with Julia in a multi-core, distributed, and networked environment
  • Apply Julia to...
Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)
Matrix Algebra: Theory, Computations, and Applications in Statistics (Springer Texts in Statistics)

Matrix algebra is one of the most important areas of mathematics for data analysis and for statistical theory. This much-needed work presents the relevant aspects of the theory of matrix algebra for applications in statistics. It moves on to consider the various types of matrices encountered in statistics, such as projection matrices and...

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