Mathematical modelling

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

Explore and analyze the solutions of mathematical models from diverse disciplines As biology increasingly depends on data, algorithms, and models, it has become necessary to use a computing language, such as the user-friendly MATLAB, to focus more on building and analyzing models as opposed to configuring tedious calculations.

Praise for Modeling for Insight "e;Most books on modeling are either too theoretical or too focused on the mechanics of programming.

A solutions manual to accompany An Introduction to Discrete Mathematical Modeling with Microsoft Office Excel With a focus on mathematical models based on real and current data, Models for Life: An Introduction to Discrete Mathematical Modeling with Microsoft Office Excel guides readers in the solution of relevant, practical problems by introducing both mathematical and Excel techniques.

This book summarizes techniques of fault prediction, detection, and identification, all included specifically in the data-driven fault diagnosis requirements within industrial processes, drawing from the combination of data science, machine learning, and domain-specific expertise.

Flight Mechanics Modeling and Analysis comprehensively covers flight mechanics and flight dynamics using a systems approach.

ContentsandScienti?

Mathematical Models for Society and Biology, 2e, is a useful resource for researchers, graduate students, and post-docs in the applied mathematics and life science fields.

This volume contains many of the papers presented at the conference "e;Optimum Design 2000: Prospects for the New Millennium"e; held in Cardiff, UK on April 12th - 14th, 2000.

A comprehensive mathematical and computational modeling of CO2 Geosequestration and Compressed Air Energy StorageEnergy and environment are two interrelated issues of great concern to modern civilization.

As part of the SFI series, this book presents the most up-to-date research in the study of human and primate societies, presenting recent advances in software and algorithms for modeling societies.

Simulating blood cells for biomedical applications is a challenging goal.

The human genome of three billion letters has been sequenced.

Thesubjectofthisbookisthemodelingofcomplex systemsinthelife sciences constituted by a large number of interacting entities called active particles.

The origami introduced in this book is based on simple techniques.

Originally published in 1984.

This book provides an extensive coverage of the methodology of survival analysis, ranging from introductory level material to deeper more advanced topics.

This book presents an opportunity to learn difference and differential equations through a modeling-first approach.

In July 2009, many experts in the mathematical modelling of biological sciences gathered in Les Houches for a 4-week summer school on the mechanics and physics of biological systems.

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

Carefully separating the essential from the ornamental, Essentials of Control Techniques and Theory presents the nuts and bolts for designing a successful controller.

This contributed volume explores innovative research in the modeling, simulation, and control of crowd dynamics.

This book, first published in 2006, examines the theory and practice of weather and climate predictability for graduate students and researchers.

This book contains both a synthesis and mathematical analysis of a wide set of algorithms and theories whose aim is the automatic segmen- tation of digital images as well as the understanding of visual perception.

This book discusses the fitting of parametric statistical models to data samples.

This contributed volume guides researchers and practitioners on resource collaborative management of supply chains and manufacturing enterprises within an industrial internet technological environment.

A pedagogical and accessible introduction to numerical relativity, the key tool to model gravitational waves and black hole mergers.

Scientific applications involve very large computations that strain the resources of whatever computers are available.

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

Continuous-system simulation is an increasingly important tool for optimizing the performance of real-world systems.

Multiscale Signal Analysis and Modeling presents recent advances in multiscale analysis and modeling using wavelets and other systems.

The investigation of the role of mechanical and mechano-chemical interactions in cellular processes and tissue development is a rapidly growing research field in the life sciences and in biomedical engineering.

Uniquely connecting theory with experimental data, this book highlights the potential of advanced computational methods in cancer research.

Malliavin Calculus in Finance: Theory and Practice, Second Edition introduces the study of stochastic volatility (SV) models via Malliavin Calculus.

This book provides a tutorial in the use of Altair Compose and Altair Activate, software packages that provide system modeling and simulation facilities.

In mathematics there are limits, speed limits of a sort, on how many computational steps are required to solve certain problems.

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

This book introduces the method of lower and upper solutions for ordinary differential equations.

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

Connecting theory with clinical applications, this book uses mathematical models to explain and study organ biomechanics of the abdominal viscera.

One of the primary purposes of any model is to build intuition and generate insights.

The 3rd edition of this popular textbook introduces the reader to the investigation of vegetation systems with an emphasis on data analysis.

Aims to give to the reader the tools necessary to apply semi-Markov processes in real-life problems.

Based on a course in the theory of statistics this text concentrates on what can be achieved using the likelihood/Fisherian method of taking account of uncertainty when studying a statistical problem.

Features recent trends and advances in the theory and techniques used to accurately measure and model growth Growth Curve Modeling: Theory and Applications features an accessible introduction to growth curve modeling and addresses how to monitor the change in variables over time since there is no one size fits all approach to growth measurement.

This collection of papers offers a broad synopsis of state-of-the-art mathematical methods used in modeling the interaction between tumors and the immune system.

This volume covers selected topics addressed and discussed during the workshop "e;PDE models for multi-agent phenomena,"e; which was held in Rome, Italy, from November 28th to December 2nd, 2016.

Process Modelling and Model Analysis describes the use of models in process engineering.

The subject of sparse matrices has its root in such diverse fields as management science, power systems analysis, surveying, circuit theory, and structural analysis.