Maths for scientists

From the reviews of Numerical Solution of Partial Differential Equations in Science and Engineering: "e;The book by Lapidus and Pinder is a very comprehensive, even exhaustive, survey of the subject .

Now in an accessible paperback edition, this classic work is just as relevant as when it first appeared in 1974, due to the increased use of nonlinear waves.

First published in 1986, this unique reference to clinical experimentation remains just as relevant today.

A timely, accessible introduction to the mathematics of chaos.

An up-to-date, one-stop reference-complete with applications This volume presents the most up-to-date information available on aposteriori error estimation for finite element approximation inmechanics and mathematics.

Written for graduate students in applied mathematics, engineering and science courses, the purpose of this book is to present topics in "e;Numerical Analysis"e; and "e;Numerical Methods.

A uniquely accessible introduction to abstract mathematics and category theory written by popular science author of How to Bake Pi.

The continuation of an outstanding scholarly attempt to bring together all significant mathematical constants in one place.

Clear and engaging introduction for graduate students in engineering and the physical sciences to essential topics of applied mathematics.

An informal and practically focused introduction for undergraduate students exploring infinite series and sequences in engineering and the physical sciences.

An informal and practically focused introduction for undergraduate students exploring infinite series and sequences in engineering and the physical sciences.

The continuation of an outstanding scholarly attempt to bring together all significant mathematical constants in one place.

Provides an accessible introduction to computational complexity analysis and its application to questions of intractability in cognitive science.

An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.

An introductory overview of spatial analysis and statistics through GIS, including worked examples and critical analysis of results.

Provides an accessible introduction to computational complexity analysis and its application to questions of intractability in cognitive science.

Clear and engaging introduction for graduate students in engineering and the physical sciences to essential topics of applied mathematics.

Graduate-level introduction to error-correcting codes, which are used to protect digital data and applied in public key cryptosystems.

This book investigates the influence of the graph of a symmetric matrix on the multiplicities of its eigenvalues.

This book combines theoretical underpinnings of statistics with practical analysis of Earth sciences data using MATLAB.

This book clearly describes the many applications of graph theory to ecological questions, providing instruction and encouragement to researchers.

This book provides a panorama of modern techniques in the asymptotic analysis of classical and quantum fields in general relativity.

This book clearly describes the many applications of graph theory to ecological questions, providing instruction and encouragement to researchers.

This book combines theoretical underpinnings of statistics with practical analysis of Earth sciences data using MATLAB.

This book introduces the major concepts of probability and statistics, along with the necessary computational tools, for undergraduates and graduate students.

This book frames and demonstrates the best of modern morphometric methods, bridging the gap between biostatistics and organismal biology.

This book introduces the major concepts of probability and statistics, along with the necessary computational tools, for undergraduates and graduate students.

This book frames and demonstrates the best of modern morphometric methods, bridging the gap between biostatistics and organismal biology.

This book will provide scientists with a better understanding of statistics, improving their decision-making and reducing animal use.

This book will provide scientists with a better understanding of statistics, improving their decision-making and reducing animal use.

Solutions manual contains complete worked solutions to half of the problems in Mathematical Methods for Physics and Engineering, Third Edition.

This Student Solution Manual provides complete solutions to all the odd-numbered problems in Foundation Mathematics for the Physical Sciences.

Step-by-step solutions to the odd-numbered problems in Essential Mathematical Methods for the Physical Sciences.

Bringing together relevant statistical and probabilistic techniques, a practical manual for advanced undergraduate and graduate students and professional astronomers.

This book is a reissue of classic textbook of mathematical methods.

A textbook covering the theory and physical applications of linear algebra and the calculus of several variables.

Using examples from contemporary physics, this textbook clearly explains the mathematics students of physics need for their courses and research.

Using examples from contemporary physics, this textbook clearly explains the mathematics students of physics need for their courses and research.

This book is a reissue of classic textbook of mathematical methods.

A textbook covering the theory and physical applications of linear algebra and the calculus of several variables.

In recent years the methods of modern differential geometry have become of considerable importance in theoretical physics and have found application in relativity and cosmology, high-energy physics and field theory, thermodynamics, fluid dynamics and mechanics.

In recent years the methods of modern differential geometry have become of considerable importance in theoretical physics and have found application in relativity and cosmology, high-energy physics and field theory, thermodynamics, fluid dynamics and mechanics.

A modern, comprehensive 2010 overview providing an easy introduction for applied scientists who are not versed in mathematics.

A concise, practical guide in statistical methods for experimental data handling; ideal for course use and a handy reference for researchers.

This upper-level undergraduate text''s unique approach enables students to develop both physical insight and mathematical intuition.

A 2004 introduction to machine vision that includes many programming exercises.

The mathematical methods that physical scientists need for solving problems are clearly set out in this tutorial-style textbook.

The first textbook on mathematical methods applied to optical science and engineering.

This tutorial-style textbook develops the basic mathematical tools needed by undergraduates to solve problems in the physical sciences.

This Student Solution Manual provides complete solutions to all the odd-numbered problems in Foundation Mathematics for the Physical Sciences.