Mathematical modelling

Architecture of Mathematics describes the logical structure of Mathematics from its foundations to its real-world applications.

Integrating concepts from deep learning, machine learning, and artificial neural networks, this highly unique textbook presents content progressively from easy to more complex, orienting its content about knowledge transfer from the viewpoint of machine intelligence.

This book gathers selected research articles presented in the "e;6th International Conference on Mathematical Modelling, Applied Analysis and Computation (ICMMAAC)"e;, held at JECRC University, Jaipur, during August 3-5, 2023.

This book presents the theoretical details and computational performances of algorithms used for solving continuous nonlinear optimization applications imbedded in GAMS.

This book offers a guide to understanding models of vortex rings, starting from classical ones (circular vortex filament, Hill and Norbury-Fraenkel inviscid models) to very recent models incorporating viscous effects and realistic shapes of the vortex core.

This book covers applications of fractional calculus used for medical and health science.

This work illustrates research conducted over a ten-year timespan and addresses a fundamental issue in reliability theory.

Wavelet-based procedures are key in many areas of statistics, applied mathematics, engineering, and science.

This book covers the latest technological advances in neuro-computational intelligence in biological processes where the primary focus is on biologically inspired neuro-computational techniques.

Use Big Data and technology to uncover real-world insights You don't need a time machine to predict the future.

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

The author's research on energy storage systems generally was confronted with five characteristics, i.

The present lecture notes describe stochastic epidemic models and methods for their statistical analysis.

This book presents a comprehensive overview of the freezing of colloidal suspensions and explores cutting-edge research in the field.

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

Modelling with Ordinary Differential Equations: A Comprehensive Approach aims to provide a broad and self-contained introduction to the mathematical tools necessary to investigate and apply ODE models.

The two ?

This book brings together, in a single volume, the fields of multicriteria decision making and multiobjective optimization that are traditionally covered separately.

The volume, devoted to variational analysis and its applications, collects selected and refereed contributions, which provide an outline of the field.

Mathematical algorithms are a fundamental component of Computer Aided Design and Manufacturing (CAD/CAM) systems.

During the past decade there has been a renewed interest in active sonar systems at both low and medium frequencies.

A guide to designing lab-based biological experiments that have low bias, high precision and widely applicable results.

Stochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry, molecular biophysics, communications theory and many more.

This book provides a comprehensive analysis of the exploitation process of shovel-truck systems using modelling, analysis and calculations following specific procedures:- analyzing the reliability and accessibility of shovels- discussing the functioning of a truck-repair shop system- reliability of trucks- existence of haulers reserve- repair shop

In this volume, I have collected several papers which were presented at the international conference called "e;Venice-2/Symposium on Applied and In- dustrial Mathematics"e;.

Computational approaches to music composition and style imitation have engaged musicians, music scholars, and computer scientists since the early days of computing.

A new and unique way of understanding the translation of concepts and natural language into mathematical expressions Transforming a body of text into corresponding mathematical expressions and models is traditionally viewed and taught as a mathematical problem; it is also a task that most find difficult.

This book contains a collection of original research articles and review articles that describe novel mathematical modeling techniques and the application of those techniques to models of cell motility in a variety of contexts.

Shape Memory Polymer Composites discusses the fabrication of smart polymer composites with their material characterization.

This monograph explores the application of the potential method to three-dimensional problems of the mathematical theories of elasticity and thermoelasticity for multi-porosity materials.

Computational Physics is designed to provide direct experience in the computer modeling of physical systems.

Mathematical modeling is a powerful craft that requires practice.

This book develops and details a rigorous, canonical modeling approach for analyzing spatio-temporal brain wave dynamics.

This book provides readers with a snapshot of recent methods for non-stationary vibration analysis of machinery.

This new book focuses on nanomaterial development as well as investigations of combustion and explosion processes.

This book covers the basics of numerical methods.

Production Systems Engineering (PSE) is an emerging branch of Engineering intended to uncover fundamental principles of production systems and utilize them for analysis, continuous improvement, and design.

This proceedings volume gathers selected, peer-reviewed papers presented at the Dynamical Systems Theory and Applications International Conference - DSTA 2021, held virtually on December 6-9, 2021, organized by the Department of Automation, Biomechanics, and Mechatronics at Lodz University of Technology, Poland.

Focuses on the practical needs of applied statisticians and experimenters engaged in design, implementation and analysis in various disciplines.

The third edition of this textbook presents a further updated approach to fuzzy sets and systems that can model uncertainty - i.

A second edition of this popular introduction to numerical geodynamic modelling theory and applications for graduate students.

Finite element analysis has become the most popular technique for studying engineering structures in detail.

Triangulations, and more precisely meshes, are at the heart of many problems relating to a wide variety of scientific disciplines, and in particular numerical simulations of all kinds of physical phenomena.

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

The volume LNCS 9377 constitutes the refereed proceedings of the 12th International Symposium on Neural Networks, ISNN 2015, held in Jeju, South Korea in October 2015.

This book highlights major issues related to big data analysis using computational intelligence techniques, mostly interdisciplinary in nature.

This book gathers selected research articles presented in the "e;6th International Conference on Mathematical Modelling, Applied Analysis and Computation (ICMMAAC)"e;, held at JECRC University, Jaipur, during August 3-5, 2023.