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An Introduction to Numerical Methods: A MATLAB® Approach, Fourth Edition
An Introduction to Numerical Methods: A MATLAB® Approach, Fourth Edition

Previous editions of this popular textbook offered an accessible and practical introduction to numerical analysis. An Introduction to Numerical Methods: A MATLAB® Approach, Fourth Edition continues to present a wide range of useful and important algorithms for scientific and engineering applications. The authors...

Elementary Functions: Algorithms and Implementation
Elementary Functions: Algorithms and Implementation
"An important topic, which is on the boundary between numerical analysis and computer science…. I found the book well written and containing much interesting material, most of the time disseminated in specialized papers published in specialized journals difficult to find. Moreover, there are very few books on these topics and they are...
Explorations in Quantum Computing (Texts in Computer Science)
Explorations in Quantum Computing (Texts in Computer Science)

In the decade since the publication of the first edition of “Explorations in Quantum Computing” the field has blossomed into a rich and diverse body of knowledge, and tremendous progress has been made on building functional quantum computer hardware. Yet I find that a discussion of applications of quantum computers still remains...

Mastering Parallel Programming with R
Mastering Parallel Programming with R

Master the robust features of R parallel programming to accelerate your data science computations

About This Book

  • Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest
  • Become an expert in writing the most efficient and highest...
Stochastic World (Mathematical Engineering)
Stochastic World (Mathematical Engineering)

This book is an introduction into stochastic processes for physicists, biologists and financial analysts. Using an informal approach, all the necessary mathematical tools and techniques are covered, including the stochastic differential equations, mean values, probability distribution functions, stochastic integration and numerical modeling....

Schaum's Outline of Numerical Analysis
Schaum's Outline of Numerical Analysis

If you want top grades and thorough understanding of numerical analysis, this powerful study tool is the best tutor you can have! It takes you step-by-step through the subject and gives you accompanying related problems with fully worked solutions. You also get additional problems to solve on your own, working at your own speed. (Answers at...

Numerical Solution of Partial Differential Equations on Parallel Computers
Numerical Solution of Partial Differential Equations on Parallel Computers

Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer’s silicon test tube, there is need...

Learning IPython for Interactive Computing and Data Visualization
Learning IPython for Interactive Computing and Data Visualization

IPython provides a rich architecture for interactive computing, and as a Python developer you can take advantage of this practical hands-on guide to make yourself an expert. Covers numerical computing, data analysis, and more.

Overview

  • A practical step-by-step tutorial which will help you to replace the...
Computational Colour Science using MATLAB
Computational Colour Science using MATLAB

Computational Colour Science using MATLAB offers a practical, problem-based approach to colour physics. The book focuses on the key issues encountered in modern colour engineering, including efficient representation of colour information, fourier analysis of reflectance spectra and advanced colorimetric computation. Emphasis is...

Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series)
Derivatives Analytics with Python: Data Analysis, Models, Simulation, Calibration and Hedging (The Wiley Finance Series)

Supercharge options analytics and hedging using the power ofPython

Derivatives Analytics with Python shows you how toimplement market-consistent valuation and hedging approaches usingadvanced financial models, efficient numerical techniques, and thepowerful capabilities of the Python programming language. Thisunique...

MATLAB Symbolic Algebra and Calculus Tools
MATLAB Symbolic Algebra and Calculus Tools

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...

Scientific Computing with Python 3
Scientific Computing with Python 3

Key Features

  • Your ultimate resource for getting up and running with Python numerical computations
  • Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules
  • A hands-on guide to implementing mathematics with Python, with complete...
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