Maths for scientists

This book tries to point out the mathematical importance of the Partial Differential Equations of First Order (PDEFO) in Physics and Applied Sciences.

This is the first-ever book on smoothed particle hydrodynamics (SPH) and its variations, covering the theoretical background, numerical techniques, code implementation issues, and many novel and interesting applications.

Finite element methods for approximating partial differential equations that arise in science and engineering analysis find widespread application.

Two features of Processing Random Data differentiate it from other similar books: the focus on computing the reproducibility error for statistical measurements, and its comprehensive coverage of Maximum Likelihood parameter estimation techniques.

This textbook is a self-contained introduction to partial differential equations.

This book provides a variety of methods required for the analysis and solution of equations which arise in the modeling of phenomena from the natural and engineering sciences.

This book deals with analytic problems related to some developments and generalizations of the Boltzmann equation toward the modeling and qualitative analysis of large systems that are of interest in applied sciences.

This book introduces systematically the eigenfunction method, a new approach to the group representation theory which was developed by the authors in the 1970's and 1980's in accordance with the concept and method used in quantum mechanics.

This book is based on the teaching experience of the authors, and therefore some of the topics are presented in a new form.

Stability and Time-Optimal Control of Hereditary Systems is the mathematical foundation and theory required for studying in depth the stability and optimal control of systems whose history is taken into account.

Neither a list of theorems and proofs nor a recipe for elementary matrix calculations, this textbook acquaints the student of applied mathematics with the concepts of linear algebra - why they are useful and how they are used.

This textbook is a self-contained introduction to partial differential equations.

This book is about the theory and applications of Partial Differential Equations of First Order (PDEFO).

This book covers selected topics in geometry, algebra, calculus and probability theory.

This book concentrates on the topic of evaluation of Jacobians in some specific linear as well as nonlinear matrix transformations, in the real and complex cases, which are widely applied in the statistical, physical, engineering, biological and social sciences.

This book is a comprehensive introduction to the application of continuous symmetries and their Lie algebras to ordinary and partial differential equations.

This book is conceived as a lecture course on the theory of dielectric and Kerr effect relaxation in molecular fluids.

This book presents the major developments in this field with emphasis on application of path integration methods in diverse areas.

This book presents applications to several fluid dynamics problems in both the bounded and unbounded domains in the framework of the discrete velocity models of kinetic theory.

This book presents the conceptional line which goes from the observation of physical systems to their modeling and analysis by ordinary differential nonlinear stochastic equations.

This is a textbook for a first course in functions of complex variable, assuming a knowledge of freshman calculus.

This solutions booklet is a supplement to the text book 'Group Theory in Physics' by Wu-Ki Tung.

This is an introduction to the basic tools of mathematics needed to understand the relation between knot theory and quantum gravity.

The book covers the fundamentals of the mechanics of multibody systems, i.

The book deals with the resurgence of nineteenth century electromagnetism in physics and electrical engineering.

This edition of the invaluable text Modern Differential Geometry for Physicists contains an additional chapter that introduces some of the basic ideas of general topology needed in differential geometry.

This invaluable book has been written for engineers and engineering scientists in a style that is readable, precise, concise, and practical.

Spinors are used extensively in physics.

The 1952 Nobel physics laureate Felix Bloch (1905-83) was one of the titans of twentieth-century physics.

This is a mathematical text suitable for students of engineering and science who are at the third year undergraduate level or beyond.

This textbook, pitched at the advanced-undergraduate to beginning-graduate level, focuses on mathematical topics of relevance in contemporary physics that are not usually covered in texts at the same level.

This textbook presents the foundations of tensor calculus and the elements of tensor analysis.

This book has been designed for senior engineering, mathematics and systems science students.

This unique book, written by one of the world's foremost specialists in the field, is devoted to the design of low and medium field electromagnets whose field level and quality (uniformity) are dominated by the pole shape and saturation characteristics of the iron yoke.

The first edition of this classic book has become the authoritative reference for physicists desiring to master the finer points of statistical data analysis.

Meshfree approximation methods are a relatively new area of research, and there are only a few books covering it at present.

A nonsimple (complex) system indicates a mix of crucial and non-crucial events, with very different statistical properties.

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data.

This comprehensive introduction to computational network theory as a branch of network theory builds on the understanding that such networks are a tool to derive or verify hypotheses by applying computational techniques to large scale network data.

Stochastic Numerical Methods introduces at Master level the numerical methods that use probability or stochastic concepts to analyze random processes.

Stochastic Numerical Methods introduces at Master level the numerical methods that use probability or stochastic concepts to analyze random processes.

This third book in a suite of four practical guides is an engineer's companion to using numerical methods for the solution of complex mathematical problems.

This third book in a suite of four practical guides is an engineer's companion to using numerical methods for the solution of complex mathematical problems.

Um ein biologisches Experiment richtig planen, durchf hren und auswerten zu k nnen, muss man ber fundierte Kenntnisse grundlegender mathematischer und statistischer Operationen verf gen.

Um ein biologisches Experiment richtig planen, durchf hren und auswerten zu k nnen, muss man ber fundierte Kenntnisse grundlegender mathematischer und statistischer Operationen verf gen.

This book is the first to focus on the application of mathematical networks for analyzing microarray data.

Written by an experienced physicist who is active in applying computer algebra to relativistic astrophysics and education, this is the resource for mathematical methods in physics using MapleTM and MathematicaTM.

This up-to-date textbook on mathematical methods of physics is designed for a one-semester graduate or two-semester advanced undergraduate course.

A comprehensive survey of all the mathematical methods that should be available to graduate students in physics.