Mathematical modelling

This book demonstrates the significance, applicability, and widespread nature of fixed point theorems in contexts outside of mathematics, including engineering, computer science, economics, and biological sciences.

From whatever domain they come, engineers are faced daily with optimization problems that requires conflicting objectives to be met.

This book demonstrates the significance, applicability, and widespread nature of fixed point theorems in contexts outside of mathematics, including engineering, computer science, economics, and biological sciences.

Large Language Models (LLMs) have disruptively changed the world of AI for good and their adoption is near universal.

Large Language Models (LLMs) have disruptively changed the world of AI for good and their adoption is near universal.

The thesis presents the design of an Artificial Intelligence Assisted Inversion (AIAI) method to estimate type Ia supernova (SN Ia) ejecta structure based on the observed optical spectral time sequence.

The thesis presents the design of an Artificial Intelligence Assisted Inversion (AIAI) method to estimate type Ia supernova (SN Ia) ejecta structure based on the observed optical spectral time sequence.

Problems involving synthesis of mathematical models of various physical systems, making use of these models in practice and verifying them qualitatively has - come an especially important area of research since more and more physical - periments are being replaced by computer simulations.

Systems and their mathematical description play an important role in all branches of science.

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, chemistry, and physics.

Flight mechanics is the application of Newton's laws to the study of vehicle trajectories (performance), stability, and aerodynamic control.

This textbook was developed to ?

Data Assimilation comprehensively covers data assimilation and inverse methods, including both traditional state estimation and parameter estimation.

This volume contains the proceedings of the second joint PAPM-PROBMIV Workshop, held at the University of Copenhagen, Denmark, July 25-26, 2002 as part of the Federated Logic Conference (FLoC 2002).

The LNCS journal Transactions on Computational Science reflects recent developments in the field of Computational Science, conceiving the field not as a mere ancillary science but rather as an innovative approach supporting many other scientific disciplines.

This book includes peer reviewed articles from the 6th International Conference on Data Science,  Machine Learning and Applications, 2024,  held at Tirupati on 13-14th December, in India.

This book includes peer reviewed articles from the 6th International Conference on Data Science,  Machine Learning and Applications, 2024,  held at Tirupati on 13-14th December, in India.

In diesem Buch wird der nicht-planare 3D-Druck als Sonderform des FDM-Verfahrens betrachtet und als multikriterielles Optimalsteuerungsproblem formuliert.

In diesem Buch wird der nicht-planare 3D-Druck als Sonderform des FDM-Verfahrens betrachtet und als multikriterielles Optimalsteuerungsproblem formuliert.

This book compiles the contributions to the 16th International Conference on Industrial Logistics (ICIL 2025), held in Tokyo, Japan, from 30 October to 2 November 2025.

Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems.

This volume introduces a systematic approach to the solution of some mathematical problems that arise in the study of the hyperbolic-parabolic systems of equations that govern the motions of thermodynamic fluids.

This work reflects sixteen hours of lectures delivered by the author at the 2009 St Flour summer school in probability.

Problems of stochastic optimization and various mathematical aspects of risk are the main themes of this contributed volume.

This volume gives a unified presentation of stochastic analysis for continuous and discontinuous stochastic processes, in both discrete and continuous time.

Stable Levy processes and related stochastic processes play an important role in stochastic modelling in applied sciences, in particular in financial mathematics.

The book has a twofold purpose: for one it provides an easy access to widely tested computer codes for over 130 numerical algorithms.

When the DFG (Deutsche Forschungsgemeinschaft) launched its collabora- tive research centre or SFB (Sonderforschungsbereich) 438 "e;Mathematical Modelling, Simulation, and Verification in Material-Oriented Processes and Intelligent Systems"e; in July 1997 at the Technische Vniversitat Munchen and at the Vniversitat Augsburg, southern Bavaria got its second nucleus of the still young discipline scientific computing.

This book compiles the contributions to the 16th International Conference on Industrial Logistics (ICIL 2025), held in Tokyo, Japan, from 30 October to 2 November 2025.

Fundamentals of Stochastic Signals, Systems and Estimation Theory (third edition) explains the concepts underlying modeling and analysis of stochastic signals and linear stochastic systems.

This volume provides a broad overview of state-of-the-art research on dynamical systems on networks.

This volume provides a broad overview of state-of-the-art research on dynamical systems on networks.

This book offers a comprehensive exploration of popular continuous distribution families, including Exponentiated, Beta, Kumaraswamy, T-X, and Transmuted.

This book offers a comprehensive exploration of popular continuous distribution families, including Exponentiated, Beta, Kumaraswamy, T-X, and Transmuted.

This book tackles the complexities of integer-valued time series analysis, focusing on over-dispersion, excess zeros, and non-stationarity.

This book tackles the complexities of integer-valued time series analysis, focusing on over-dispersion, excess zeros, and non-stationarity.

Studierende in den Fachern Wirtschaftswissenschaften, Technik, Naturwissenschaften und Informatik benotigen zum Studienbeginn bestimmte Grundkenntnisse in der Mathematik, die im vorliegenden Buch sehr ausfuhrlich dargestellt werden.

This book contains chapters of the proceedings presented at the UiTM International Conference of Mathematical Sciences 2024 (UICMS 2024), organized by Universiti Teknologi MARA (UiTM), Shah Alam, Selangor, Malaysia, from October 12–13, 2024.

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs.

This book introduces readers to benchmarking techniques in the stochastic environment, primarily stochastic data envelopment analysis (DEA), and provides stochastic models in DEA for the possibility of variations in inputs and outputs.

This book provides a comprehensive approach to engineering mathematics, concentrating on advanced topics.

This book provides a comprehensive approach to engineering mathematics, concentrating on advanced topics.

This book investigates detailed hyperspectral image clustering using graph neural network (graph learning) methods, focusing on the overall construction of the model, design of self-supervised methods, image pre-processing, and feature extraction of graph information.

This book provides a comprehensive, modern discussion of the physics of vortex flows and vortex-body interactions through a combination of mathematical models, figures, descriptive explanation, and mathematical solutions.

This book provides a comprehensive, modern discussion of the physics of vortex flows and vortex-body interactions through a combination of mathematical models, figures, descriptive explanation, and mathematical solutions.

This volume compiles selected, peer-reviewed papers presented at the 24th International Symposium on Mathematical and Computational Biology (BIOMAT 2024), held from October 27 to November 1, 2024, at the Orthodox Academy of Crete in Kolympari, Crete Island, Greece.

This volume compiles selected, peer-reviewed papers presented at the 24th International Symposium on Mathematical and Computational Biology (BIOMAT 2024), held from October 27 to November 1, 2024, at the Orthodox Academy of Crete in Kolympari, Crete Island, Greece.

This book investigates detailed hyperspectral image clustering using graph neural network (graph learning) methods, focusing on the overall construction of the model, design of self-supervised methods, image pre-processing, and feature extraction of graph information.

The new edition of this well-received textbook has been thoroughly updated and expanded.