Mathematical modelling books

This book provides a concise introduction to the core computational elements of temporal reasoning for use in AI...  Read More >>

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Intended for students at the advanced undergraduate level plus and researchers, this book develops the probability...  Read More >>

This book is dedicated to modern approaches to mathematical modeling of reflexive processes in control. The authors...  Read More >>

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Introduces a theoretical entity: Agent_Zero. This title weaves a computational tapestry with threads from Plato,...  Read More >>

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The detection approach introduced, namely perturbation analysis, is completey novel showing a remarkable capability...  Read More >>

Mathematical Modeling for Complex Fluids and Flows provides researchers and engineering practitioners encountering...  Read More >>

Suitable for upper-undergraduate and graduate courses on growth modeling, this title presents an introduction to...  Read More >>

This book develops mathematical models of the primary visual cortex and proposes geometrical models of its functional...  Read More >>

Due to recent advances in computing, measurable dynamics has gone from being a purely theoretical topic to one with...  Read More >>

This monograph is dedicated to the derivation and analysis of fluid models occurring in plasma physics. Physicists...  Read More >>

Image Processing for Cinema presents a detailed overview of image processing techniques that are used in practice...  Read More >>

Computational Methods for Three-Dimensional Microscopy Reconstruction  Read More >>

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Whether different types of costs are to be reduced, benefits to be maximized or scarce resources to be managed,...  Read More >>

Now in a fully updated second edition, with new chapters covering flow theory, state-of-the-art search methods and...  Read More >>

Fractal-based methods are at the heart of modeling the behavior of phenomena at varying scales. This volume collates...  Read More >>

This monograph provides graduate students and also professional researchers aiming to understand the dynamics of...  Read More >>

In SuperFractals, first published in 2006, Michael Barnsley describes mathematics and algorithms that open a whole...  Read More >>

Mathematical models typically depend on parameters, small perturbations of which can disturb the model to varying...  Read More >>

This exploration of empirical inference in science ranges over topics as diverse as the mass extinction of the dinosaurs,...  Read More >>

Provides a Solid Foundation for Statistical Modeling and Inference and Demonstrates Its Breadth of Applicability...  Read More >>