Maths for scientists

The mathematical theory of Krylov subspace methods with a focus on solving systems of linear algebraic equations is given a detailed treatment in this principles-based book.

This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis.

This new edition updates Durbin & Koopman's important text on the state space approach to time series analysis.

This hands-on guide is primarily intended to be used in undergraduate laboratories in the physical sciences and engineering.

Nonlinear elliptic problems play an increasingly important role in mathematics, science and engineering, creating an exciting interplay between the subjects.

In each generation, scientists must redefine their fields: abstracting, simplifying and distilling the previous standard topics to make room for new advances and methods.

Statistics lectures have been a source of much bewilderment and frustration for generations of students.

This book offers a concise and up-to-date introduction to the popular field of quantum information.

This book gives a detailed mathematical and statistical analysis of the cointegrated vector autoregresive model.

Cosmology has undergone a revolution in recent years.

This book gives an introduction to computational plasticity and includes the kinematics of large deformations, together with relevant continuum mechanics.

This book considers evolution at different scales: sequences, genes, gene families, organelles, genomes and species.

Linear algebra is a fundamental area of mathematics, and is arguably the most powerful mathematical tool ever developed.

The problems we face in the 21st century require innovative thinking from all of us.

The problems we face in the 21st century require innovative thinking from all of us.

Probability is an area of mathematics of tremendous contemporary importance across all aspects of human endeavour.

Probability is an area of mathematics of tremendous contemporary importance across all aspects of human endeavour.

Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research.

Chemoinformatics is broadly a scientific discipline encompassing the design, creation, organization, management, retrieval, analysis, dissemination, visualization and use of chemical information.