Give Your Students the Proper Groundwork for Future Studies in OptimizationA First Course in Optimization is designed for a one-semester course in optimization taken by advanced undergraduate and beginning graduate students in the mathematical sciences and engineering.
This textbook is intended for students of Mathematical Economics and is based on my lectures on Linear Algebra delivered at Satbayev University in Almaty, Kazakhstan.
Im Sport und im Gesundheitswesen sind Normen, Normwerte und Normwertbezüge wesentlich, wenn es darum geht, Informationen zu sportlichen, physiologischen, psychologischen und/oder gesundheitlichen Kenngrößen qualitativ und quantitativ einzuschätzen.
Im Sport und im Gesundheitswesen sind Normen, Normwerte und Normwertbezüge wesentlich, wenn es darum geht, Informationen zu sportlichen, physiologischen, psychologischen und/oder gesundheitlichen Kenngrößen qualitativ und quantitativ einzuschätzen.
Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged.
A First Course in Differential Equations, Modeling, and Simulation shows how differential equations arise from applying basic physical principles and experimental observations to engineering systems.
Mathematical Theory of Fuzzy Sets presents the mathematical theory of non-normal fuzzy sets such that it can be rigorously used as a basic tool to study engineering and economic problems under a fuzzy environment.
Focusing on a data-centric perspective, this book provides a complete overview of data mining: its uses, methods, current technologies, commercial products, and future challenges.
Functional Analysis for the Applied Mathematician is a self-contained volume providing a rigorous introduction to functional analysis and its applications.
Taking an approach to the subject that is suitable for a broad readership, Discrete Mathematics: Proofs, Structures, and Applications, Third Edition provides a rigorous yet accessible exposition of discrete mathematics, including the core mathematical foundation of computer science.
Extreme Value Modeling and Risk Analysis: Methods and Applications presents a broad overview of statistical modeling of extreme events along with the most recent methodologies and various applications.
Il testo fornisce i fondamenti teorici della turbolenza e una panoramica completa dei modelli di turbolenza, dai più semplici ai più avanzati, tra cui la simulazione diretta e la simulazione Large Eddy.
Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection.
Molecular modeling is becoming an increasingly important part of chemical research and education as computers become faster and programs become easier to use.
A Strong Practical Focus on Applications and AlgorithmsComputational Statistics Handbook with MATLAB, Third Edition covers today's most commonly used techniques in computational statistics while maintaining the same philosophy and writing style of the bestselling previous editions.
Il testo fornisce i fondamenti teorici della turbolenza e una panoramica completa dei modelli di turbolenza, dai più semplici ai più avanzati, tra cui la simulazione diretta e la simulazione Large Eddy.
Matematica introductoria es un texto destinado a quienes consideran las matematicas como el lenguaje universal para explicar fenomenos del entorno y una herramienta esencial en el desarrollo cientifico y tecnologico.
This award-winning textbook targets the gap between introductory texts in discrete mathematics and advanced graduate texts in enumerative combinatorics.
This textbook provides a comprehensive introduction to matrix methods of structural analysis, framed within a discrete modeling approach that is well-suited for digital computation.
This book brings together cutting-edge research, methodologies, and applications in the field of optimization and nature-inspired computing, providing a comprehensive overview of the latest advancements and their applications in addressing contemporary challenges in engineering.
This work describes several statistical techniques for studying repeated measures data, presenting growth curve methods applicable to biomedical, social, animal, agricultural and business research.
