Mathematical Modelling

What every neuroscientist should know about the mathematical modeling of excitable cells. Combining empirical physiology and nonlinear dynamics, th...

This book provides thorough and comprehensive coverage of most of the new and important quantitative methods of data analysis for graduate students...

This book is concerned with digital image processing techniques that use partial differential equations (PDEs) for the task of image 'inpainting', ...

Time-series analysis is used to identify and quantify periodic features in datasets and has many applications across the geosciences, from analysin...

The human brain is made up of 85 billion neurons, which are connected by over 100 trillion synapses. For more than a century, a diverse array of ...

Competition between species arises when two or more species share at least some of the same limited resources. It is likely to affect all species, ...

A high school student can create deep Q-learning code to control her robot, without any understanding of the meaning of ''deep'' or ''Q'', or why t...

This practical guide is designed for students and researchers with an existing knowledge of R who wish to learn how to apply it in an epidemiologic...

This practical guide is designed for students and researchers with an existing knowledge of R who wish to learn how to apply it in an epidemiologic...

This practical introduction to second-order and growth mixture models using Mplus introduces simple and complex techniques through incremental step...

Mathematics instruction is often more effective when presented in a physical context. Schramm uses this insight to help develop students' physical ...

'Fascinating' - Financial Times Algorithms are running our society, and as the Cambridge Analytica story has revealed, we dont really know what th...

Data-driven discovery is revolutionizing how we model, predict, and control complex systems. Now with Python and MATLAB®, this textbook trains math...

Use Big Data and technology to uncover real-world insights You don't need a time machine to predict the future. All it takes is a little knowledge ...

This encyclopedia provides decision-makers in Operations Research with a comprehensive overview of the range of ideas and forces that combine in OR...

The Handbook of Unmanned Aerial Vehicles is a reference text for the academic and research communities, industry, manufacturers, users, practitione...

The main goal of this book is to present coherent mathematical models to describe an economic growth and related economic issues. The book is a con...

Volume II is devoted to generalized linear mixed models for binary, categorical, count, and survival outcomes. The second volume has seven chapters...

Earthquake occurrence modeling is a rapidly developing research area. This book deals with its critical issues, ranging from theoretical advances t...

The science of networks represented a substantial change in the way we see natural and technological phenomena. Now we have a better understanding ...

A guide to the validation and risk management of quantitative models used for pricing and hedging Whereas the majority of quantitative finance b...