Tournament of Books 2015
 
 

Special Offers see all

Enter to WIN a $100 Credit

Subscribe to PowellsBooks.news
for a chance to win.
Privacy Policy

Visit our stores


    Recently Viewed clear list


    Original Essays | January 12, 2015

    Christopher Scotton: IMG Five Hundred Mountains Destroyed for a @*&%$! Allegory!



    I found a hole in the perimeter fence on a Sunday when the haul trucks were idle and I could work my way up the shoulder of mountain undetected.... Continue »

    spacer
Qualifying orders ship free.
$106.50
New Hardcover
Ships in 1 to 3 days
Add to Wishlist
available for shipping or prepaid pickup only
Available for In-store Pickup
in 7 to 12 days
Qty Store Section
25 Remote Warehouse Mathematics- Probability and Statistics

Introduction to Scientific Programming and Simulation Using R

by

Introduction to Scientific Programming and Simulation Using R Cover

 

Synopses & Reviews

Publisher Comments:

Known for its versatility, the free programming language R is widely used for statistical computing and graphics, but is also a fully functional programming language well suited to scientific programming.

An Introduction to Scientific Programming and Simulation Using R teaches the skills needed to perform scientific programming while also introducing stochastic modelling. Stochastic modelling in particular, and mathematical modelling in general, are intimately linked to scientific programming because the numerical techniques of scientific programming enable the practical application of mathematical models to real-world problems.

Following a natural progression that assumes no prior knowledge of programming or probability, the book is organised into four main sections:

  • Programming In R starts with how to obtain and install R (for Windows, MacOS, and Unix platforms), then tackles basic calculations and program flow, before progressing to function based programming, data structures, graphics, and object-oriented code
  • A Primer on Numerical Mathematics introduces concepts of numerical accuracy and program efficiency in the context of root-finding, integration, and optimization
  • A Self-contained Introduction to Probability Theory takes readers as far as the Weak Law of Large Numbers and the Central Limit Theorem, equipping them for point and interval estimation
  • Simulation teaches how to generate univariate random variables, do Monte-Carlo integration, and variance reduction techniques

In the last section, stochastic modelling is introduced using extensive case studies on epidemics, inventory management, and plant dispersal. A tried and tested pedagogic approach is employed throughout, with numerous examples, exercises, and a suite of practice projects. Unlike most guides to R, this volume is not about the application of statistical techniques, but rather shows how to turn algorithms into code. It is for those who want to make tools, not just use them.

Book News Annotation:

The textbook is for a one-year undergraduate course introducing scientific programming and stochastic modeling to science, engineering, or business students who have completed or are concurrently taking a first-year university-level calculus course. No previous knowledge of programming or probability is assumed. They integrate programming and probability right from the start. Assuming their students are more interested making tools rather than just using them, they do not explain the programming features of the R programming language, just how to turn algorithms into code. A software package is available with most of the code and data in the text. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)

Synopsis:

The free programming language R is widely used for statistical computing and graphics, but is also a fully functional programming language well suited to scientific programming. This introduction teaches the skills needed to perform scientific programming while also introducing stochastic modeling.

Product Details

ISBN:
9781420068726
Author:
Jones, Owen
Publisher:
CRC Press
Author:
Robinson, Andrew
Author:
Maillardet, Robert
Subject:
Probability & Statistics - General
Subject:
Microscopes & Microscopy
Subject:
Number Systems
Subject:
Mathematics | Probability and Statistics
Publication Date:
20090331
Binding:
Hardcover
Language:
English
Pages:
472
Dimensions:
9.30x6.10x1.30 in. 2.05 lbs.

Related Subjects

Computers and Internet » Computers Reference » General
Computers and Internet » Networking » General
Reference » Science Reference » Microscopes
Reference » Science Reference » Technology
Science and Mathematics » Mathematics » Foundations and Logic
Science and Mathematics » Mathematics » Introduction
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Introduction to Scientific Programming and Simulation Using R New Hardcover
0 stars - 0 reviews
$106.50 In Stock
Product details 472 pages Chapman & Hall/CRC - English 9781420068726 Reviews:
"Synopsis" by , The free programming language R is widely used for statistical computing and graphics, but is also a fully functional programming language well suited to scientific programming. This introduction teaches the skills needed to perform scientific programming while also introducing stochastic modeling.
spacer
spacer
  • back to top

FOLLOW US ON...

     
Powell's City of Books is an independent bookstore in Portland, Oregon, that fills a whole city block with more than a million new, used, and out of print books. Shop those shelves — plus literally millions more books, DVDs, and gifts — here at Powells.com.