Este libro se concibió para ser el texto básico de un curso de crecimiento para estudiantes de economía, con el fin de facilitar la lectura y la comprensión de los modelos tanto desde la técnica y la derivación matemática, como desde la intuición y los problemas reales que se pueden analizar a la luz de la teoría.
This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics.
This monograph takes the reader through recent advances in data-driven methods and machine learning for problems in science-specifically in continuum physics.
The book is focused on physical interpretation and visualization of the obtained invariant solutions for nonlinear mathematical modeling of atmospheric and ocean waves.
This volume provides an overview of two of the most important examples of interacting particle systems, the contact process, and the voter model, as well as their many variants introduced in the past 50 years.
With numerous real-world examples, Modelling and Quantitative Methods in Fisheries, Second Edition provides an introduction to the analytical methods used by fisheries' scientists and ecologists.
This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data.
This book is focused on the application of methodological approaches and systems of multiple criteria decision analysis (MCDA) in the field of resource management.
This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data.
This book is focused on the application of methodological approaches and systems of multiple criteria decision analysis (MCDA) in the field of resource management.
Modeling with differential equations is an effective tool to provide methodical and quantitative solutions to real-world phenomena including investigating measurable features, consolidation and processing of data, and designing and developing complex engineering systems.
Modeling with differential equations is an effective tool to provide methodical and quantitative solutions to real-world phenomena including investigating measurable features, consolidation and processing of data, and designing and developing complex engineering systems.
Lisa Schneider entwickelt und implementiert ein Untersuchungsinstrument zur Analyse von Lösungsprozessen beim mathematischen Modellieren, das Modelling-Activity-Interaction-Tool (MAI-Tool).
Lisa Schneider entwickelt und implementiert ein Untersuchungsinstrument zur Analyse von Lösungsprozessen beim mathematischen Modellieren, das Modelling-Activity-Interaction-Tool (MAI-Tool).
This volume collects papers based on plenary and invited talks given at the 50th Barrett Memorial Lectures on Approximation, Applications, and Analysis of Nonlocal, Nonlinear Models that was organized by the University of Tennessee, Knoxville and held virtually in May 2021.
This volume collects papers based on plenary and invited talks given at the 50th Barrett Memorial Lectures on Approximation, Applications, and Analysis of Nonlocal, Nonlinear Models that was organized by the University of Tennessee, Knoxville and held virtually in May 2021.
This book collects the results presented at the 158th European Study Group with Industry, which took place at the Centre de Recerca Matematica in Barcelona in January 2020.
This book collects the results presented at the 158th European Study Group with Industry, which took place at the Centre de Recerca Matematica in Barcelona in January 2020.
This book offers a wealth of interdisciplinary approaches to urbanization strategies in architecture centered on growing concerns about the future of cities and their impacts on essential elements of architectural optimization, livability, energy consumption and sustainability.
Understand Quantitative Radiobiology from a Radiation Biophysics PerspectiveIn the field of radiobiology, the linear-quadratic (LQ) equation has become the standard for defining radiation-induced cell killing.
From past decades, Computational intelligence embraces a number of nature-inspired computational techniques which mainly encompasses fuzzy sets, genetic algorithms, artificial neural networks and hybrid neuro-fuzzy systems to address the computational complexities such as uncertainties, vagueness and stochastic nature of various computational problems practically.
Les modèles eulériens sont devenus dans les quinze dernières années des outils populaires pour étudier les interactions fluide-structure, car, au contraire des méthodes plus classiques de type ALE, ils permettent de résoudre numériquement ces problèmes en se ramenant à une grille et une méthode de résolution unique pour les différents milieux.
This book explains how energy demand and energy consumption in new buildings can be predicted and how these aspects and the resulting CO2 emissions can be reduced.
This book contains papers presented at the 3rd International Conference on Cognitive- based Information Processing and Applications (CIPA) in Changzhou, China, from November 2-3, 2023.
Mathematical Modeling in Biology: A Research Methods Approach is a textbook written primarily for advanced mathematics and science undergraduate students and graduate-level biology students.
Mathematical Modeling in Biology: A Research Methods Approach is a textbook written primarily for advanced mathematics and science undergraduate students and graduate-level biology students.
Despite major advances in healthcare over the past century, the successful treatment of cancer has remained a significant challenge, and cancers are the second leading cause of death worldwide behind cardiovascular disease.
Despite major advances in healthcare over the past century, the successful treatment of cancer has remained a significant challenge, and cancers are the second leading cause of death worldwide behind cardiovascular disease.
This text describes a comprehensive adjoint sensitivity analysis methodology (C-ASAM), developed by the author, enabling the efficient and exact computation of arbitrarily high-order functional derivatives of model responses to model parameters in large-scale systems.
This book constitutes an up-to-date account of principles, methods, and tools for mathematical and statistical modelling in a wide range of research fields, including medicine, health sciences, biology, environmental science, engineering, physics, chemistry, computation, finance, economics, and social sciences.
