Mathematical Computation & Modeling

Bestseller The Power of Computational Thinking

Games, Magic and Puzzles to Help You Become a Computational Thinker

by Paul Curzon & Peter W McOwan (Queen Mary University of London, UK) “A huge need and an outstanding author team with a glowing track record in this precise area. What more do you want?” Simon Peyton Jones (FRS), Microsoft

Research, Cambridge UK

“A wonderful book full of ideas with which to inspire and engage in computational thinking. Core concepts and principles are brought to life in fun and engaging ways through puzzles, magic tricks and games. This is a must-have book for Computing teachers.” Dr Kevin R Bond,

Managing Director, Educational Computing Services Ltd

Readership: Suitable as a general book for all those interested in lay science or recreational maths, or just interested in learning more about computational thinking; school pupils studying the new programming based national curriculum in computer science, and teachers’ upskilling to teach programming.

232pp Jan 2017 978-1-78634-184-6(pbk) US$24 £20 978-1-78634-183-9 US$58 £48

Bestseller Information Theory

Part I: An Introduction to the Fundamental Concepts

by Arieh Ben-Naim (The Hebrew University of Jerusalem, Israel) This book is about the definition of the Shannon measure of Information, and some derived quantities such as conditional information and mutual information. Unlike many books, which refer to the Shannon’s Measure of information (SMI) as “Entropy,” this book makes a clear distinction between the SMI and Entropy. This book presents the fundamental concepts of Information theory in a friendly-simple language and is devoid of all kinds of fancy and pompous statements made by authors of popular science books who write on this subject. It is unique in its presentation of Shannon’s measure of information, and the clear distinction between this concept and the thermodynamic entropy. Readership: Students and researchers in information theory.

368pp Jun 2017 978-981-3208-83-4(pbk) US$34 £28 978-981-3208-82-7 US$78 £65

Bestseller Optimization Theory

A Concise Introduction

by Jiongmin Yong (University of Central Florida, USA)

A slim book such as this which touches on major aspects of optimization theory will be very much needed for most readers. We present nonlinear programming, convex programming, and linear programming in a self-contained manner. This book is for a one-semester course for upper level undergraduate students or first/second year graduate students. It should also be useful for researchers working on many interdisciplinary areas other than optimization. Volume 1: A Mezze of Mathematical Models

by Andrew French (Winchester College, UK)

A recipe book of mathematical models that can be enlivened by the transmutation of equations into computer code. In this volume, the examples chosen are an eclectic mix of systems and stories rooted in common experience.

Rather than a ‘what’ of Science, this book is aimed at the ‘how’, readily applied to projects by students and professionals. Written in a friendly style based upon the author’s expertise in teaching and pedagogy, this mathematically rigorous book is designed for readers to follow arguments step-by-step with stand-alone chapters which can be read independently.

Readership: A book for early undergraduate and keen high school students of Mathematics, Physics, Economics, Chemistry, Engineering, Computer Science, and Biology. Teachers and lecturers should consider using this to assist with teaching STEM subjects.

288pp Jan 2022 978-1-80061-121-4(pbk) US$48 £40 978-1-80061-107-8 US$88 £75

Fractional Calculus and Waves in Linear Viscoelasticity

An Introduction to Mathematical Models

(2nd Edition)

by Francesco Mainardi (University of Bologna, Italy)

This book is a self-contained treatment of the mathematical theory of linear (uni-axial) viscoelasticity (constitutive equation and waves) with particular regard to models based on fractional calculus. It serves as a general introduction to the above-mentioned areas of mathematical modelling. The explanations in the book are detailed enough to capture the interest of the curious reader, and complete enough to provide the necessary background material needed to delve further into the subject and explore the research literature. In particular the relevant role played by some special functions is pointed out along with their visualization through plots.

Readership: Engineers, graduate students and researchers in applied sciences.

400pp Jul 2022 978-1-78326-398-1 US$158 £140

Dialogues Around Models and Uncertainty

An Interdisciplinary Perspective

edited by Pauline Barrieu (London School of Economics and Political Science, UK)

This book helps develop a better understanding of how researchers from different scientific backgrounds view models and uncertainty. It provides key steps in fostering and encouraging interdisciplinary research, which is vital in addressing several big issues that society faces today, such as climate change, longevity, financial and actuarial risk management. To make progress in these areas, researchers must develop an understanding of differing perspectives and methods of those working in other disciplines.

This title presents the views and understandings of eminent people in their respective fields through interviews on the topic of modelling and uncertainty. It helps to bridge some of the gaps encountered by those carrying out inter- and multi-disciplinary research and suggests new approaches to modelling and uncertainty quantification.

Readership: Mathematicians interested in modelling, uncertainty, and conversations with researchers working in this field.