Learn IT - Books tags computation

MATLAB Linear Algebra

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...

MATLAB Numerical Calculations

Apress, 2014

Instant SymPy Starter

Packt Publishing, 2013

Symbolic computation is the use of algorithms and software to perform exact calculations on symbolic mathematical expressions. It has traditionally been the preserve of monolithic computer algebra systems. SymPy puts its power within easy reach of all Python programmers, just an import statement away.

Instant SymPy Starter is an...

Computer Age Statistical Inference: Algorithms, Evidence, and Data Science (Institute of Mathematical Statistics Monographs)

Cambridge University Press, 2016

The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. “Big data,” “data science,” and “machine learning” have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science...

Computational Physics: Problem Solving with Python

John Wiley & Sons, 2015

The use of computation and simulation has become an essential part of the scientific process. Being able to transform a theory into an algorithm requires significant theoretical insight, detailed physical and mathematical understanding, and a working level of competency in programming.

This upper-division text provides an...

Harmony Search Algorithm: Proceedings of the 3rd International Conference on Harmony Search Algorithm (ICHSA 2017) (Advances in Intelligent Systems and Computing)

Springer, 2017

This book presents state-of-the-art technical contributions based around one of the most successful evolutionary optimization algorithms published to date: Harmony Search. Contributions span from novel technical derivations of this algorithm to applications in the broad fields of civil engineering, energy, transportation &...

Handbook of Approximate Bayesian Computation (Chapman & Hall/CRC Handbooks of Modern Statistical Methods)

CRC Press, 2018

As the world becomes increasingly complex, so do the statistical models required to analyse the challenging problems ahead. For the very first time in a single volume, the Handbook of Approximate Bayesian Computation (ABC) presents an extensive overview of the theory, practice and application of ABC methods. These simple, but...

Cryptography in C and C++

Apress, 2013

This book covers everything you need to know to write professional-level cryptographic code. This expanded, improved second edition includes about 100 pages of additional material as well as numerous improvements to the original text. The chapter about random number generation has been completely rewritten, and the latest cryptographic...

TensorFlow for Deep Learning: From Linear Regression to Reinforcement Learning

O'Reilly, 2018

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects...

Programming F# 3.0

O'Reilly, 2012

Have you ever been in a hurry and pounded in a nail using something other than a hammer? Or perhaps settled an argument concerning distances with “the length of my arm is about 20 inches, and that’s about two arm lengths...”? You might not be willing to fall for such obviously flawed shortcuts, but...

Clever Algorithms: Nature-Inspired Programming Recipes

Lulu.com, 2011

The need for this project was born of frustration while working towards my PhD. I was investigating optimization algorithms and was implementing a large number of them for a software platform called the Optimization Algorithm Toolkit (OAT)1. Each algorithm required considerable effort to locate the relevant source material (from...

Aspects of Soft Computing, Intelligent Robotics and Control (Studies in Computational Intelligence)

Springer, 2009

Soft computing, as a collection of techniques exploiting approximation and tolerance for imprecision and uncertainty in traditionally intractable problems, has become very effective and popular especially because of the synergy derived from its components. The integration of constituent technologies provides complementary methods that allow...

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