Maths for scientists

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

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

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

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

Structural equation modelling (SEM) is a technique that is used to estimate, analyse and test models that specify relationships among variables.

Confusing Textbooks?

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

Ecological Methods by the late T.

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

This substantially revised and expanded new edition of the bestselling textbook, addresses the difficulties that can arise with the mathematics that underpins the study of symmetry, and acknowledges that group theory can be a complex concept for students to grasp.

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

Discover the benefits of applying algorithms to solve scientific, engineering, and practical problems Providing a combination of theory, algorithms, and simulations, Handbook of Applied Algorithms presents an all-encompassing treatment of applying algorithms and discrete mathematics to practical problems in "e;hot"e; application areas, such as computational biology, computational chemistry, wireless networks, and computer vision.

An introductory perspective on statistical applications in the field of engineering Modern Engineering Statistics presents state-of-the-art statistical methodology germane to engineering applications.

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 .

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

This book offers comprehensive coverage of all the mathematical tools needed by engineers in the field of processing and transport of all forms of information, data and images - as well as many other engineering disciplines.

This book presents the mathematical theory of turbulence to engineers and physicists, and the physical theory of turbulence to mathematicians.

This is a unique book about natural catastrophes, focusing on the mathematical aspects of these phenomena.

Molecular Orbital Calculations for Biological Systems is a hands-on guide to computational quantum chemistry and its applications in organic chemistry, biochemistry, and molecular biology.

Do you have a project that requires some coding skills and don't know where to start?

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

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

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

This book describes the contributions of mathematics to the nation's advanced technology and to economic competitiveness.

Discrete Mathematics for Computing presents the essential mathematics needed for the study of computing and information systems.

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

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

Presents up-to-date Banach space results.

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

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

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

An accessible and up-to-date treatment featuring the connection between neural networks and statistics A Statistical Approach to Neural Networks for Pattern Recognition presents a statistical treatment of the Multilayer Perceptron (MLP), which is the most widely used of the neural network models.

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

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

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

The Tutorials in Biostatistics have become a very popular feature of the prestigious Wiley journal, Statistics in Medicine (SIM).

The combined finite discrete element method is a relatively new computational tool aimed at problems involving static and / or dynamic behaviour of systems involving a large number of solid deformable bodies.

The Maths Behind over 60 everyday phenomena.

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

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

The plain language style, worked examples and exercises in this book help students to understand the foundations of computational physics and engineering.

This book focuses on the analysis of manufacturing processes and the integration of this analysis into the design cycle.

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

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

An engaging, accessible introduction into how numbers work and why we shouldn't be afraid of them, from maths expert Rachel Riley.

Take Advantage of the Latest Calculation Methods for Solving Problems in Every Major Area of Environmental EngineeringThe only hands-on reference of its kind, the Handbook of Environmental Engineering Calculations equips you with step-by-step calculation procedures covering virtually every aspect of environmental engineering.

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