Maths for scientists

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.

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.

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

A standalone text on computational physics combining idiomatic Python, foundational numerical methods, and physics applications.

Comprehensive introduction to nonlinear elasticity for graduates and researchers, covering new developments in the field.

This introductory text on complex variable methods has been updated with even more examples and exercises.

Surveys the application of the wavelet transform to a wide range of physical fields.

Presents numerical methods and computer code in Matlab for the solution of ODEs and PDEs with detailed line-by-line discussion.

A comprehensive 2001 volume for researchers and graduate students in oceanography, meteorology, fluid dynamics and coastal engineering.

This book introduces applied mathematics through Fourier analysis, with applications to studying sampling theory, PDEs, probability, diffraction, musical tones, and wavelets.

This book introduces key ideas and principles in the theory of elasticity with symbolic computation.

A student-friendly Analysis textbook suitable as an undergraduate course book or for self-study.

This textbook, first published in 2004, provides an introduction to the major mathematical structures used in physics today.

The powerful tool of functional integration is widely applied and shown to be user-friendly and mathematically robust.

A 2006 guide to use of clustering and classification statistical methods for biologists, from ecologists to bioinformaticians.

A unifying framework for understanding many types of fluid mixing, for researchers.

An advanced undergraduate and graduate textbook introducing differential geometry for theoretical physics and applied mathematics.

A monograph on Moonshine, a mathematical physics topic, for graduate students and researchers.

This textbook provides a no-nonsense introduction to the principles of theoretical and mathematical biology.

This book, first published in 2006, shows that much can be learnt by viewing ecological systems from a multivariate perspective.

This book explores the connection between algebraic structures in topology and computational methods for 3-dimensional electric and magnetic field computation.

This highly acclaimed undergraduate textbook teaches all the mathematics for undergraduate courses in the physical sciences.

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

Gregory''s Classical Mechanics is a major new textbook for undergraduate students in mathematics and physics.

This book surveys statistical and perturbation methods for the solution of the general three body problem.

A comprehensive introduction to preconditioning techniques, now an essential part of successful and efficient iterative solutions of matrices.

This book, first published in 2003, provides a concise but sound treatment of ODEs, including IVPs, BVPs, and DDEs.

Linear and non-linear models of populations, molecular evolution, phylogenetic tree construction, genetics, and infectious diseases are presented with minimal prerequisites.

Describes multivariate statistical methods for ecologists and explains how to apply the methods using Canoco.