**2**

**Contents**

MATLAB GUIDE

Third Edition

Desmond J. Higham & Nicholas J.

Higham

Dec 2016 502pp, colour figures

9781611974652 Hardback US$62.00

The completely revised and updated

third edition of this best-selling book

remains a lively, concise introduction

to the most important features of MATLAB and the

Symbolic Math Toolbox.

LEARNING LATEX

Second Edition

David F. Griffiths & Desmond J. Higham

Oct 2016 113pp

9781611974416 Paperback US$29.00

A short, but very well-written book

that covers the material essential for

learning LaTeX. It includes incisive

examples that teach LaTeX in a

powerful yet abbreviated fashion. This is the handbook

to have if you don’t want to wade through extraneous

material.

DATA ASSIMILATION

Methods, Algorithms, and

Applications

Mark Asch, Marc Boquet & Maëlle

Nodet

Jan 2017 324pp

9781611974539 Paperback US$84.00

Fundamentals of Algorithms 11

Places data assimilation into the

broader context of inverse problems and the theory,

methods, and algorithms that are used for their solution.

Methods and diagnostics are emphasized, enabling

readers to readily apply them to their own field of study.

The Society for Industrial and Applied Mathematics

(SIAM) was founded by a small group of mathematicians

from academia and industry who met in Philadelphia in

1951 to start an organisation whose members would meet

periodically to exchange ideas about the uses of mathematics

in industry. This meeting led to the creation of SIAM.

**BESTSELLER**

NUMERICAL LINEAR ALGEBRA

Lloyd N. Trefethen &

David Bau, III

1997 373pp

9780898713619 Paperback US$67.00

A concise, insightful, and elegant

introduction to the field of

numerical linear algebra. Designed

for use as a stand-alone textbook in a one-semester,

graduate-level course in the topic.

**BESTSELLER**

UNCERTAINTY QUANTIFICATION

Theory, Implementation, and

Applications

Ralph C. Smith

2013 400pp

9781611973211 Hardback US$74.00

Computational Science and Engineering 12

Provides readers with the basic

concepts, theory, and algorithms

necessary to quantify input and response uncertainties for

simulationmodels arising in a broad range of disciplines.

**BESTSELLER**

A FIRST COURSE IN NUMERICAL

METHODS

Uri M. Ascher & Chen Greif

2011 574pp

9780898719970 Paperback US$98.00

Computational Science and Engineering 7

Designed for students and

researchers seeking practical

knowledge of modern techniques

in scientific computing. Avoiding

encyclopaedic and heavily theoretical exposition, it

provides an in-depth treatment of fundamental issues

and methods, the reasons behind the success and failure

of numerical software, and fresh and easy-to-follow

approaches and techniques.