Learn IT - Books tags numbers

Multicore Application Programming: for Windows, Linux, and Oracle Solaris

Addison Wesley, 2010

Write High-Performance, Highly Scalable Multicore Applications for Leading Platforms
Multicore Application Programming is a comprehensive, practical guide to high-performance multicore programming that any experienced developer can use.

Author Darryl Gove covers the leading...

MATLAB Numerical Calculations

Apress, 2014

MATLAB is a high-level language and environment for numerical computation, visualization, and programming. Using MATLAB, you can analyze data, develop algorithms, and create models and applications. The language, tools, and built-in math functions enable you to explore multiple approaches and reach a solution faster than with spreadsheets or...

Rotation Transforms for Computer Graphics

Springer, 2011

Rotation transforms are used everywhere in computer graphics from rotating pictures in editing software, to providing an arbitrary view of a 3D virtual environment. Although the former is a trivial operation, the latter can be a challenging task.

...

An Introduction to Kolmogorov Complexity and Its Applications (Texts in Computer Science)

Springer, 2008

“The book is outstanding and admirable in many respects. ... is necessary reading for all kinds of readers from undergraduate students to top authorities in the field.” Journal of Symbolic Logic

Written by two experts in the field, this is the only comprehensive and unified treatment of the central ideas and...

Mastering Object-oriented Python

Packt Publishing, 2014

For those who know the basics of object-oriented Python this book is a must-have. With 750 code samples and a relaxed tutorial approach, it’s the seamless route to more sophisticated programming.

Overview

Create applications with flexible logging, powerful configuration and command-line options,...

Secret Recipes of the Python Ninja: Over 70 recipes that uncover powerful programming tactics in Python

Packt Publishing, 2018

Test your Python programming skills by solving real-world problems

Key Features

Access built-in documentation tools and improve your code.

Discover how to make the best use of decorator and generator functions

Enhance speed and improve concurrency by...

Quantum Monte Carlo: Origins, Development, Applications

Oxford University Press, 2007

Monte Carlo methods are a class of computational algorithms for simulating the behavior of a wide range of various physical and mathematical systems (with many variables). Their utility has increased with general availability of fast computers, and new applications are continually forthcoming. The basic concepts of Monte Carlo are both simple and...

C# Precisely

MIT Press, 2004

This book describes the programming language C# (pronounced “c sharp”), version 2.0. It is a quick reference for the reader who has already learnt or is learning C# from a standard textbook and who wants to know the language in more detail. It should be particularly useful for readers who know the Java programming language and who want...

Graphics of Large Datasets: Visualizing a Million (Statistics and Computing)

Springer, 2006

Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases or large in numbers of variables or large in both. Data visualization is useful for data cleaning, exploring data,...

Introduction to the Mathematical and Statistical Foundations of Econometrics (Themes in Modern Econometrics)

Cambridge University Press, 2004

This book is intended for use in a rigorous introductory PhD level course in econometrics, or in a field course in econometric theory. It covers the measure-theoretical foundation of probability theory, the multivariate normal distribution with its application to classical linear regression analysis, various laws of large numbers, central limit...

Assessing and Improving Prediction and Classification: Theory and Algorithms in C++

Apress, 2017

Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making, resampling the dataset, and boosting. This book presents many important techniques for building...

Problems and Proofs in Numbers and Algebra

Springer, 2015

Focusing on an approach of solving rigorous problems and learning how to prove, this volume is concentrated on two specific content themes, elementary number theory and algebraic polynomials. The benefit to readers who are moving from calculus to more abstract mathematics is to acquire the ability to understand proofs through...

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