Mathematics

The 2nd International Symposium on Medical Data Analysis (ISMDA 2001) was the continuation of the successful ISMDA 2000, a conference held in Fra- furt, Germany, in September 2000.

This book is designed for graduate students to acquire knowledge of simplicial complexes, Dimension Theory, ANR Theory (Theory of Retracts), and related topics.

The aim of this volume, Functional Equations and Ulam’s Problem, is to publish a well-balanced collection of works devoted to the domain of functional equations with emphasis on stability results associated with Ulam’s problem for approximate homomorphisms.

The aim of this volume, Functional Equations and Ulam’s Problem, is to publish a well-balanced collection of works devoted to the domain of functional equations with emphasis on stability results associated with Ulam’s problem for approximate homomorphisms.

Cloud-native Architecture (CNA) and Artificial Intelligence (AI) for the Future of Software Engineering: The Principles, Patterns, Platforms and Practices, Volume 141 in the Advances in Computers series, explores the convergence of artificial intelligence, machine learning, and modern software engineering practices.

Learn LaTeX to format documents, equations, and citations with ease.

Learn LaTeX to format documents, equations, and citations with ease.

This book explores how mathematics appears in everyday life.

The rapid growth of machine learning in recent years has made it a popular tool for data analysis, modeling, and predictions.

This book provides an in-depth examination of time series decomposition and seasonal adjustment, focusing on the X-13ARIMA-SEATS and TRAMO-SEATS methods.

This book serves as a practical guide to using numerical methods with MATLAB(R)/Python implementation for simulating fluid flow and transport in porous media, covering the fundamentals and their application in a way that is easy to understand for those without a technical background.

This second volume of the multi-volume Fractional Calculus for Skeptics explores the concept of "e;roughness"e; and its applications in complex systems.

Mathematics is the foundation of machine learning algorithms.

This book explores how mathematics appears in everyday life.

This book provides an in-depth examination of time series decomposition and seasonal adjustment, focusing on the X-13ARIMA-SEATS and TRAMO-SEATS methods.

Essential Math for Physics Undergraduates: Practical Examples with Python Tools covers basic applied Math and entry-level programming.

The progress made in the CFD field mandates a review of new trends and directions, and this volume covers some of the significant contributions made in the last decade in a large number of branches of CFD.

The progress made in the CFD field mandates a review of new trends and directions, and this volume covers some of the significant contributions made in the last decade in a large number of branches of CFD.

This book serves as a practical guide to using numerical methods with MATLAB(R)/Python implementation for simulating fluid flow and transport in porous media, covering the fundamentals and their application in a way that is easy to understand for those without a technical background.

This second volume of the multi-volume Fractional Calculus for Skeptics explores the concept of "e;roughness"e; and its applications in complex systems.

Essential Math for Physics Undergraduates: Practical Examples with Python Tools covers basic applied Math and entry-level programming.

The rapid growth of machine learning in recent years has made it a popular tool for data analysis, modeling, and predictions.

Mathematics is the foundation of machine learning algorithms.

Disruptive Technologies: Transforming Industries with Smart Solutions explores the transformative impact of next-generation technologies on modern life, industry, and infrastructure.

This book will challenge mathematical skills in a totally different way from the usual geometric puzzles.

This elementary mathematics resource outlines a pedagogical approach known as Teaching Through Example-Based Problem Solving (TEPS) and presents pre-service teachers with an effective way to instruct early algebra.

This book is an invaluable resource for all researchers interested in understanding practical applications of longitudinal regression methods.

This book is based on an information-theoretic result according to which optimal information is associated with e-dimensionality.

This thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition.

Military service involves exposure to multiple sources of chronic, acute, and potentially traumatic stress, especially during deployment and combat.

This book offers a comprehensive exploration of how researchers collaborate in contemporary science, drawing on social and organisational psychology to analyse key dynamics in scientific teamwork.

The book guides the smart computing community toward future directions in cognitive research and demonstrates how these advances can be applied to next-generation smart systems.

The book guides the smart computing community toward future directions in cognitive research and demonstrates how these advances can be applied to next-generation smart systems.

This book is based on an information-theoretic result according to which optimal information is associated with e-dimensionality.

Disruptive Technologies: Transforming Industries with Smart Solutions explores the transformative impact of next-generation technologies on modern life, industry, and infrastructure.

Military service involves exposure to multiple sources of chronic, acute, and potentially traumatic stress, especially during deployment and combat.

This book is designed for graduate students to acquire knowledge of simplicial complexes, Dimension Theory, ANR Theory (Theory of Retracts), and related topics.

This book will challenge mathematical skills in a totally different way from the usual geometric puzzles.

This elementary mathematics resource outlines a pedagogical approach known as Teaching Through Example-Based Problem Solving (TEPS) and presents pre-service teachers with an effective way to instruct early algebra.

This book offers a comprehensive exploration of how researchers collaborate in contemporary science, drawing on social and organisational psychology to analyse key dynamics in scientific teamwork.

Sharpen your probability skills What are the chances you'll ace your next exam?

A newly updated and authoritative exploration of differential and difference equations used in queueing theory In the newly revised second edition of Differential and Difference Equations with Applications in Queueing Theory, a team of distinguished researchers delivers an up-to-date discussion of the unique connections between the methods and applications of differential equations, difference equations, and Markovian queues.

This book is an invaluable resource for all researchers interested in understanding practical applications of longitudinal regression methods.

This thoroughly revised and expanded second edition of the Handbook of Markov Chain Monte Carlo reflects the dramatic evolution of MCMC methods since the publication of the first edition.