Mathematical modelling

Modern and unique treatment of process optimization which presents an exposition of applications and algorithms in detail for practical use.

The perfect introduction to the theory and computer programming for the dynamic simulation of nonlinear solid mechanics.

Presents carefully selected supervised and unsupervised learning methods from basic to state-of-the-art,in a coherent statistical framework.

Presents carefully selected supervised and unsupervised learning methods from basic to state-of-the-art,in a coherent statistical framework.

This book refutes anti-scientific, superficially mathematical arguments used to support anti-evolutionism in language accessible for both lay and professional audiences.

This book refutes anti-scientific, superficially mathematical arguments used to support anti-evolutionism in language accessible for both lay and professional audiences.

Detailed account of computational statistical physics, including theoretical foundations and modern, computational applications.

This introductory textbook provides detailed coverage of the rapidly growing field of complexity science, for a broad audience of readers.

Comprehensive overview of research on clouds and their role in our present and future climate, for advanced students and researchers.

This introduction to the few-body problem progresses from two-body motion and classical planetary dynamics to modern numerical methods.

An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.

This introduction to the few-body problem progresses from two-body motion and classical planetary dynamics to modern numerical methods.

An intuitive, up-to-date introduction to random matrix theory and free calculus, with real world illustrations and Big Data applications.

Unique coverage of Monte Carlo methods for both continuum and lattice systems, explaining particularly analysis of phase transitions.

A standalone text for courses on computational physics combining idiomatic Python, foundational numerical methods, and physics applications.

An introductory text providing the reader with a thorough background to the rich world of applications of stochastic processes.

Unique coverage of Monte Carlo methods for both continuum and lattice systems, explaining particularly analysis of phase transitions.

This fast-paced introduction to Python moves from the basics to advanced concepts, enabling readers to gain proficiency quickly.

A second edition of this popular introduction to numerical geodynamic modelling theory and applications for graduate students.

A second edition of this popular introduction to numerical geodynamic modelling theory and applications for graduate students.

An accessible introduction to the mathematical methods essential for understanding processes in the Earth and environmental sciences.

Combines a systematic analysis of bifurcations of iterated maps with concrete MATLAB® implementations and applications.

Presents a unified treatment of anomalous diffusion problems using fractional calculus in a wide range of applications across scientific and technological disciplines.

A comprehensive text on resistivity and induced polarization covering theory and practice for the near-surface Earth supported by modelling software.

What every neuroscientist should know about the mathematical modeling of excitable cells, presented at an introductory level.

What every neuroscientist should know about the mathematical modeling of excitable cells, presented at an introductory level.

An intuitive introduction to basic Fourier theory, with numerous practical applications from the geosciences and worked examples in R.

Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.

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

Presents a unified treatment of anomalous diffusion problems using fractional calculus in a wide range of applications across scientific and technological disciplines.

Provides an essential introduction to modeling terrestrial ecosystems in Earth system models for graduate students and researchers.

Concise textbook on seismic wave theory, with detailed derivations of formulas, clear explanations of topics, exercises, and selected answers.

Address physical principles and unified theories governing multiphase flows, with methods, applications, and problems.

An authoritative text in condensed matter physics, unifying theory and methods to present electronic structure to students and researchers.

Address physical principles and unified theories governing multiphase flows, with methods, applications, and problems.

Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.

An accessible introduction to the mathematical methods essential for understanding processes in the Earth and environmental sciences.

An intuitive introduction to basic Fourier theory, with numerous practical applications from the geosciences and worked examples in R.

Describes computational methods for parametric and nonparametric modeling of stochastic dynamics.

Provides an essential introduction to modeling terrestrial ecosystems in Earth system models for graduate students and researchers.

Learn how to use estimation techniques to solve real-world IC design problems and accelerate design processes with this practical guide.

An easy to understand guide covering key principles of mathematical modelling and simulation in chemical engineering.

Learn how to use estimation techniques to solve real-world IC design problems and accelerate design processes with this practical guide.

Addresses the mathematical and numerical modelling of the human cardiovascular system, from patient data to clinical applications.

Addresses the mathematical and numerical modelling of the human cardiovascular system, from patient data to clinical applications.

With examples drawn from contemporary physics this book clearly explains the mathematics graduate students need to succeed in their courses.

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

Discover a modern approach to the analysis, modeling and design of high sensitivity phased array systems.

Discover a modern approach to the analysis, modeling and design of high sensitivity phased array systems.

The go-to guide to learn the principles and practices of design and analysis in chemical engineering.