Maths for scientists

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

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

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

This book provides a comprehensive account, from first principles, of the methods of numerical quantum mechanics, beginning with formulations and fundamental postulates.

The proceedings of the conference is devoted mainly to the mathematically rigorous approaches to the problems of quantum mechanics.

Sampling theory considers how methods for selection of a subset of units from a finite population (a sample) affect the accuracy of estimates of descriptive population parameters (mean, total, proportion).

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

This monograph gives a comprehensive presentation of the SL(2,C) Gauge Theory of Gravitation along with some recent developments in the problem of Conservation Laws in General Relativity.

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.

Shows how foundational mathematical ideas can be employed in the understanding of a variety of psychological phenomena.

Modern day high-performance computers are making available to 21st-century scientists solutions to rheological flow problems of ever-increasing complexity.

This book presents an approximation theory for a general class of nonlinear evolution equations in Banach spaces and the semigroup theory, including the linear (Hille-Yosida), nonlinear (Crandall-Liggett) and time-dependent (Crandall-Pazy) theorems.

Master the essential statistical skills used in social and behavioral sciences Essentials of Statistics for the Social and Behavioral Sciences distills the overwhelming amount of material covered in introductory statistics courses into a handy, practical resource for students and professionals.

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.

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

Linear Statistical Models Developed and refined over a period of twenty years, the material in this book offers an especially lucid presentation of linear statistical models.

This book constitutes the proceedings of the 2000 Howard conference on "e;Infinite Dimensional Lie Groups in Geometry and Representation Theory"e;.

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

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

Matrix-analytic methods are fundamental to the analysis of a family of Markov processes rich in structure and of wide applicability.

This volume describes many of the key practical theoretical techniques that have been developed to treat chemical dynamics problems in many-atom systems.

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

This volume comprises the papers presented at the Seventh International Workshop on Scattering Theory and Biomedical Engineering, focusing on the hottest topics in scattering theory and biomedical technology.

This 2001 book presents in a systematic way the field of continuum solidification theory based on instability phenomena.

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

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

Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing.

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

This book gives a self-contained and up-to-date account of mathematical results in the linear theory of water waves.

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

The book is devoted to a unification of two major principles of invariance in physics (local gauge and local coordinate invariance) and reducing both principles to the second one in a more than 4-dimensional world.

Ecological Methods by the late T.

An innovative treatment of mathematical methods for a multidisciplinary audience Clearly and elegantly presented, Mathematical Methods in Science and Engineering provides a coherent treatment of mathematical methods, bringing advanced mathematical tools to a multidisciplinary audience.

This volume contains a selection of papers presented at Euromech Colloquium 308 - Chaos and Noise in Dynamical Systems.

Prepare students for success in using applied mathematics for engineering practice and post-graduate studies Moves from one mathematical method to the next sustaining reader interest and easing the application of the techniques Uses different examples from chemical, civil, mechanical and various other engineering fields Based on a decade s worth of the authors lecture notes detailing the topic of applied mathematics for scientists and engineers Concisely writing with numerous examples provided including historical perspectives as well as a solutions manual for academic adopters

This volume consists of 18 research papers reflecting the impressive progress made in the field.

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

Essential Mathematics for Games and Interactive Applications, 2nd edition presents the core mathematics necessary for sophisticated 3D graphics and interactive physical simulations.

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

The vast majority of statistics books delineate techniques used to analyze collected data.

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.

This volume contains papers, contributed by scientists from a wide variety of disciplines, on the application of nonlinear dynamics (chaos theory) in the study of brain function.

This book provides a comprehensive treatment of intensity dependent particle beam instabilities in accelerating rings.

This book addresses issues of scattering theory and biomedical engineering, as well as methodological approaches and tools from related scientific areas such as applied mathematics, mechanics, numerical analysis, and signal and image processing.

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.