Maths for scientists

A unique probabilistic approach to studying pattern matching problems in computer science, telecommunications, molecular biology and more.

A unique probabilistic approach to studying pattern matching problems in computer science, telecommunications, molecular biology and more.

This completely revised edition provides a comprehensive tour of the mathematical knowledge and techniques needed by students across the physical sciences.

This completely revised edition provides a comprehensive tour of the mathematical knowledge and techniques needed by students across the physical sciences.

An introduction to classical and modern mathematical models, methods, and issues in population ecology.

This text is a self-contained second course on mathematical methods dealing with topics in linear algebra and multivariate calculus that can be applied to statistics.

The first textbook covering spectral analysis and geophysical data inversion for undergraduate and graduate students.

This 1994 book introduces the tools of modern differential geometry, exterior calculus, manifolds, vector bundles and connections.

Confusing Textbooks?

Covering all aspects of probability theory, statistics and data analysis from a Bayesian perspective for graduate students and researchers.

Covering all aspects of probability theory, statistics and data analysis from a Bayesian perspective for graduate students and researchers.

A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration programs.

A graduate-level introduction balancing theory and application, providing full coverage of classical methods with many practical examples and demonstration programs.

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

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

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

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

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

This comprehensive reference volume, suitable for graduate teaching, includes problems, exercises, solutions and an extensive bibliography.

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

The first fully self-contained introduction to geometric algebra by two leading experts in the field.

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

New and original interpretation of probability theory, with applications to a wide range of subjects.

This comprehensive reference volume, suitable for graduate teaching, includes problems, exercises, solutions and an extensive bibliography.

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

The second edition of a highly successful introductory textbook on essential mathematics.

The first fully self-contained introduction to geometric algebra by two leading experts in the field.

This is the first volume of the second edition of the standard text on design theory.

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

This book provides straightforward conceptual explanations of statistical methods for the life sciences, specially designed for students lacking a strong mathematical background.

This book provides straightforward conceptual explanations of statistical methods for the life sciences, specially designed for students lacking a strong mathematical background.

Introducing data analysis techniques to help undergraduate students develop the tools necessary for studying and working in the physical sciences.

Introducing data analysis techniques to help undergraduate students develop the tools necessary for studying and working in the physical sciences.

This book teaches powerful methods to test hypotheses using statistical arguments without the constraints and sophisticated mathematics of classical statistics.

This book teaches powerful methods to test hypotheses using statistical arguments without the constraints and sophisticated mathematics of classical statistics.

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

Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts.

Introduces basic concepts in probability and statistics to data science students, as well as engineers and scientists Aimed at undergraduate/graduate-level engineering and natural science students, this timely, fully updated edition of a popular book on statistics and probability shows how real-world problems can be solved using statistical concepts.

An essential guide to using Maxima, a popular open source symbolic mathematics engine to solve problems, build models, analyze data and explore fundamental concepts Symbolic Mathematics for Chemists offers students of chemistry a guide to Maxima, a popular open source symbolic mathematics engine that can be used to solve problems, build models, analyze data, and explore fundamental chemistry concepts.

An essential guide to using Maxima, a popular open source symbolic mathematics engine to solve problems, build models, analyze data and explore fundamental concepts Symbolic Mathematics for Chemists offers students of chemistry a guide to Maxima, a popular open source symbolic mathematics engine that can be used to solve problems, build models, analyze data, and explore fundamental chemistry concepts.

Covers multivariable calculus, starting from the basics and leading up to the three theorems of Green, Gauss, and Stokes, but always with an eye on practical applications.

Covers multivariable calculus, starting from the basics and leading up to the three theorems of Green, Gauss, and Stokes, but always with an eye on practical applications.

This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data.

This book addresses the difficulties experienced by wet lab researchers with the statistical analysis of molecular biology related data.

Provides a concise overview of the core undergraduate physics and applied mathematics curriculum for students and practitioners of science and engineering Fundamental Math and Physics for Scientists and Engineers summarizes college and university level physics together with the mathematics frequently encountered in engineering and physics calculations.

Provides a concise overview of the core undergraduate physics and applied mathematics curriculum for students and practitioners of science and engineering Fundamental Math and Physics for Scientists and Engineers summarizes college and university level physics together with the mathematics frequently encountered in engineering and physics calculations.

Essential Statistics for the Pharmaceutical Sciences is targeted at all those involved in research in pharmacology, pharmacy or other areas of pharmaceutical science; everybody from undergraduate project students to experienced researchers should find the material they need.

Essential Statistics for the Pharmaceutical Sciences is targeted at all those involved in research in pharmacology, pharmacy or other areas of pharmaceutical science; everybody from undergraduate project students to experienced researchers should find the material they need.

A solutions manual to accompany Statistics and Probability with Applications for Engineers and Scientists Unique among books of this kind, Statistics and Probability with Applications for Engineers and Scientists covers descriptive statistics first, then goes on to discuss the fundamentals of probability theory.

Winner of the 2006 Joseph W.