The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "e;Augmented Gaussian Process"e; methodology.
This book provides a comprehensive examination of the structure of approximate optimal policies in Markov decision processes (MDPs) with finite state spaces, as well as approximate optimal solutions for deterministic discrete-time optimal control problems.
This proceedings volume features a selection of peer-reviewed papers presented at the 6th AMMCS-International Conference on Applied Mathematics, Modeling, and Computational Science, held in Waterloo, Canada, from August 14-18, 2023.
This advanced introductory textbook offers a comprehensive approach to non-relativistic Quantum Mechanics, focusing on exact methods and mathematical techniques often overlooked in standard textbooks.
Among several main formulations, the book treats inverse problems with single measurements by Carleman estimates and describes a method for proving the uniqueness and the stability for the first-order transport equations, parabolic equations, and hyperbolic equations.
The present volume collects extended abstracts of lectures and talks presented at the Summer School and Conference "e;Analysis, PDEs and Applications"e; held 24 June - 6 July 2024 at Yerevan State University, Armenia.
This book collects some contributions presented in the annual Congress "e;Mathematical Modeling & Human Behavior"e;, held from 10 to 12 July 2024 at Universitat Politècnica de València, Valencia, Spain.
This advanced introductory textbook offers a comprehensive approach to non-relativistic Quantum Mechanics, focusing on exact methods and mathematical techniques often overlooked in standard textbooks.
This book explores the reconstruction, extension, and enhancement of the Apollo targeting and guidance algorithms, integrating original guidance concepts with new analytical solutions.
This book addresses contemporary issues in the philosophy of mathematics that deal with the role of mathematics in explanations of empirical phenomena.
The book provides a comprehensive review of multiple information sources and multi-fidelity Bayesian optimization, specifically focusing on the novel "e;Augmented Gaussian Process"e; methodology.
Among several main formulations, the book treats inverse problems with single measurements by Carleman estimates and describes a method for proving the uniqueness and the stability for the first-order transport equations, parabolic equations, and hyperbolic equations.
This book uses R package, iForecast, to conduct financial economic time series forecasting with machine learning methods, especially the generation of dynamic forecasts out-of-sample.
Graph minor theory is one of the most influential and well-developed areas of graph theory, yet its key results, particularly the work of Robertson and Seymour, have remained scattered across numerous technical papers.
This book explores the reconstruction, extension, and enhancement of the Apollo targeting and guidance algorithms, integrating original guidance concepts with new analytical solutions.
This book, the second of two volumes, focuses on scientific cognition, computationalism, and scholars' reception of what Lorenzo Magnani named "e;eco-cognitive"e; views on the mind.
This book, the second of two volumes, focuses on scientific cognition, computationalism, and scholars' reception of what Lorenzo Magnani named "e;eco-cognitive"e; views on the mind.
This book provides a comprehensive examination of the structure of approximate optimal policies in Markov decision processes (MDPs) with finite state spaces, as well as approximate optimal solutions for deterministic discrete-time optimal control problems.
This book addresses contemporary issues in the philosophy of mathematics that deal with the role of mathematics in explanations of empirical phenomena.
This book uses R package, iForecast, to conduct financial economic time series forecasting with machine learning methods, especially the generation of dynamic forecasts out-of-sample.
This textbook completes the author’s series of books on solving complex math problems and is aimed at developing readers' geometric thinking to master the skills of solving solid geometry problems.
El problema de programacion de rutas en una empresa de transporte generalmente considera varios escenarios de distribucion de bienes los cuales, a su vez, constituyen diferentes grados de complejidad en su programacion.
EXPLORE THIS INDISPENSABLE AND COMPREHENSIVE GUIDE TO TIME SERIES ANALYSIS FOR STUDENTS AND PRACTITIONERS IN A WIDE VARIETY OF DISCIPLINES Applied Time Series Analysis for the Social Sciences: Specification, Estimation, and Inference delivers an accessible guide to time series analysis that includes both theory and practice.
In clinical trials, monitoring accumulating data at regular intervals is essential for balancing ethical and financial considerations against scientific rigor.
This textbook introduces readers to the principles of business process and supply chain simulation modeling using the AnyLogic multimethod simulation software.
This book provides a practical and rewarding path for early to mid-career professionals of all disciplines (STEM and non-STEM) to develop the intentional mental practice of Systems Thinking together with Rigorous Methods that improve the way we view, contemplate, approach and deal with complex challenges.
This second edition introduces Python programming to readers with little or no prior experience, specifically tailored for physicists and natural sciences students.
Die Entdeckung von Leben auf anderen Himmelskorpern wurde nahelegen, dass es mehrere Wege zur Entstehung und Entwicklung von komplexen Wesen gibt und wurde damit unsere Sicht auf das Universum dramatisch verandern.
This book addresses the need for statistical knowledge and skills among health professionals and researchers by presenting statistical concepts, methods and models in a health and clinical context, making it distinct from traditional textbooks.
This book presents the easiest way to learn finite element method (FEM) for electromagnetism - from static phenomena to high frequencies in a single book, based solely on Maxwell's equations.
This volume argues that concepts from the theory of computation-including information theory, formal languages, and discrete structures-might provide novel paths towards a solution to the problem of quantum gravity.
This book offers an extensive guide to understanding, implementing, and applying the Bees Algorithm, a powerful nature-inspired optimisation metaheuristic that mimics the foraging behaviour of honey bees.
This book offers an extensive guide to understanding, implementing, and applying the Bees Algorithm, a powerful nature-inspired optimisation metaheuristic that mimics the foraging behaviour of honey bees.
This book focuses on the crucial theme of modern test development and analysis, specifically focusing on bridging the gap between theoretical frameworks and practical applications.
This book provides a practical and rewarding path for early to mid-career professionals of all disciplines (STEM and non-STEM) to develop the intentional mental practice of Systems Thinking together with Rigorous Methods that improve the way we view, contemplate, approach and deal with complex challenges.
This book addresses the well-known capability and flexibility of classical and constructive semigroups (inherited from algebraic structures), to model, solve problems in extremely diverse situations, and develop interesting new algebraic ideas with many applications and connections to other areas of mathematics (logic, biomathematics, analysis, geometry, etc.
