Mathematical modelling

A one-stop tutorial for beginners covering the fundamentals of microwave imaging, including application examples and practical exercises.

Provides in-depth coverage of the modelling, behaviour, control, and stability analysis of converter-interfaced energy storage systems.

A comprehensive summary of the fundamental mathematical principles behind key topics in geophysics and geodesy.

Employs basic mathematical skills to teach students how to address topical, real-world problems using quantitative reasoning.

A comprehensive summary of the fundamental mathematical principles behind key topics in geophysics and geodesy.

Employs basic mathematical skills to teach students how to address topical, real-world problems using quantitative reasoning.

The theory, methods and applications of matrix analysis are presented here in a novel theoretical framework.

A comprehensive introduction to the theory and applications of complex network science, complete with real-world data sets and software tools.

A comprehensive introduction to the theory and applications of complex network science, complete with real-world data sets and software tools.

The theory, methods and applications of matrix analysis are presented here in a novel theoretical framework.

The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.

The first step-by-step introduction to the methodology of agent-based models in economics, their mathematical and statistical analysis, and real-world applications.

This book reviews the latest risk-based techniques to protect national interests from invasive pests and pathogens before, at and within national borders.

This book reviews the latest risk-based techniques to protect national interests from invasive pests and pathogens before, at and within national borders.

This book introduces the major concepts of probability and statistics, along with the necessary computational tools, for undergraduates and graduate students.

This book introduces the major concepts of probability and statistics, along with the necessary computational tools, for undergraduates and graduate students.

A fundamental reference for graduate students and researchers in fluid mechanics.

A user-oriented, practical introduction outlining methods for analysing actuarial and financial risk.

A user-oriented, practical introduction outlining methods for analysing actuarial and financial risk.

This exploration of empirical inference presents descriptions of the processes by which scientific measurements support explanations of our world.

This exploration of empirical inference presents descriptions of the processes by which scientific measurements support explanations of our world.

In this primer the authors provide an unintimidating introduction to the main techniques of choice analysis.

This edition of a classic textbook is an essential reference for students and scholars in the input-output research and applications community.

This book develops econometric techniques for the estimation of production, cost and profit frontiers.

Using a practical, hands-on approach, this book will teach anyone how to carry out Bayesian analyses and interpret the results.

Using a practical, hands-on approach, this book will teach anyone how to carry out Bayesian analyses and interpret the results.

This book presents introductions to the essential mathematical aspects of complexity science, suitable for advanced undergraduate/masters-level students and researchers.

This book presents introductions to the essential mathematical aspects of complexity science, suitable for advanced undergraduate/masters-level students and researchers.

This 2007 book discusses the design of reliable numerical methods to retrieve missing information in models of complex systems.

This book presents an integrated approach to kinematic and dynamic analysis.

This book presents an integrated approach to kinematic and dynamic analysis.

Uses a wide variety of applications to demonstrate the universality of mathematical techniques in describing and analysing natural phenomena.

Uses a wide variety of applications to demonstrate the universality of mathematical techniques in describing and analysing natural phenomena.

The first book devoted to ellipsoidal harmonics presents the state of the art in this fascinating subject.

Introduces principles drawn from quantum theory to present a new framework for modeling human cognition and decision.

Based on the 1991 LMS Invited Lectures given by Professor Marsden, this book discusses and applies symmetry methods to such areas as bifurcations and chaos in mechanical systems.

Master the process of building MASS models with real examples and hands-on practice.

This upper-level undergraduate text''s unique approach enables students to develop both physical insight and mathematical intuition.

This book focuses on data visualization and computing using Scilab.

This book addresses interconnections between contemporary advances in mathematics, especially algebra, with applications in the social sciences and the arts.

A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

The first unified presentation of the general asymptotic theory of compound renewal processes, with classical and functional limit theorems.

A how-to guide and scientific tutorial covering the universe of reinforcement learning and control theory for online decision making.

A thorough presentation of the fundamental concepts of stellar dynamics that bridges the gap between standard texts and advanced treatises.

A thorough presentation of the fundamental concepts of stellar dynamics that bridges the gap between standard texts and advanced treatises.

An introduction to the complex world of climate models that explains why we should trust their predictions despite the uncertainties.

Bridging the basics to recent research advances, this is the ideal learning and reference work for physicists studying control theory.

Augments and extends the classic textbook Geodynamics by Turcotte and Schubert, presenting more complex and foundational math approaches.

Augments and extends the classic textbook Geodynamics by Turcotte and Schubert, presenting more complex and foundational math approaches.

25 Problems for STEM Education introduces a new and emerging course for undergraduate STEM programs called Physical-Mathematical Informatics.