Exploring Operations Research with R
Exploring Operations Research with R

Author: Jim Duggan

Publisher: CRC Press

Published: 2024-05-21

Total Pages: 396

ISBN-13: 1040010032

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Exploring Operations Research with R shows how the R programming language can be a valuable tool – and way of thinking – which can be successfully applied to the field of operations research (OR). This approach is centred on the idea of the future OR professional as someone who can combine knowledge of key OR techniques (e.g., simulation, linear programming, data science, and network science) with an understanding of R, including tools for data representation, manipulation, and analysis. The core aim of the book is to provide a self-contained introduction to R (both Base R and the tidyverse) and show how this knowledge can be applied to a range of OR challenges in the domains of public health, infectious disease, and energy generation, and thus provide a platform to develop actionable insights to support decision making. Features Can serve as a primary textbook for a comprehensive course in R, with applications in OR Suitable for post-graduate students in OR and data science, with a focus on the computational perspective of OR The text will also be of interest to professional OR practitioners as part of their continuing professional development Linked to a Github repository including code, solutions, data sets, and other ancillary material

Handbook of Military and Defense Operations Research
Handbook of Military and Defense Operations Research

Author: Natalie M. Scala

Publisher: CRC Press

Published: 2024-08-21

Total Pages: 575

ISBN-13: 1040046991

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Tracing its roots back to World War II, operations research (OR) has become a vital tool in military and defense strategy. The second edition of the Handbook of Military and Defense Operations Research highlights this evolution, showcasing how OR integrates with cutting-edge areas like artificial intelligence, cybersecurity, and big data analytics. This volume is more than a historical account; it is a practical guide. The volume features expert voices and offers insights into OR applications in modern security challenges. Readers will discover a blend of theory and real-world case studies, making it an essential resource for both newcomers and seasoned defense analysis professionals. Dive into this handbook to explore the rich, dynamic field of military and defense operations research, a discipline at the heart of global security and strategic decision-making. New to the second edition: Reorganized into a three-part structure Extensive revisions throughout Numerous new exercises, examples, and case studies Several new chapters

Mathematics for Operations Research
Mathematics for Operations Research

Author: W. H. Marlow

Publisher: Courier Corporation

Published: 1993-01-01

Total Pages: 514

ISBN-13: 0486677230

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Practical and applications-oriented, this text explains effective procedures for performing mathematical tasks that arise in many fields, including operations research, engineering, systems sciences, statistics, and economics. Most of the examples and many of the 1,300 problems illustrate techniques, and nearly all of the tables display reference material for procedures. 1978 edition.

The Book of R
The Book of R

Author: Tilman M. Davies

Publisher: No Starch Press

Published: 2016-07-16

Total Pages: 833

ISBN-13: 1593276516

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The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.

Modern Optimization with R
Modern Optimization with R

Author: Paulo Cortez

Publisher: Springer Nature

Published: 2021-07-30

Total Pages: 264

ISBN-13: 3030728196

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The goal of this book is to gather in a single work the most relevant concepts related in optimization methods, showing how such theories and methods can be addressed using the open source, multi-platform R tool. Modern optimization methods, also known as metaheuristics, are particularly useful for solving complex problems for which no specialized optimization algorithm has been developed. These methods often yield high quality solutions with a more reasonable use of computational resources (e.g. memory and processing effort). Examples of popular modern methods discussed in this book are: simulated annealing; tabu search; genetic algorithms; differential evolution; and particle swarm optimization. This book is suitable for undergraduate and graduate students in computer science, information technology, and related areas, as well as data analysts interested in exploring modern optimization methods using R. This new edition integrates the latest R packages through text and code examples. It also discusses new topics, such as: the impact of artificial intelligence and business analytics in modern optimization tasks; the creation of interactive Web applications; usage of parallel computing; and more modern optimization algorithms (e.g., iterated racing, ant colony optimization, grammatical evolution).

System Dynamics Modeling with R
System Dynamics Modeling with R

Author: Jim Duggan

Publisher: Springer

Published: 2016-06-14

Total Pages: 188

ISBN-13: 3319340433

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This new interdisciplinary work presents system dynamics as a powerful approach to enable analysts build simulation models of social systems, with a view toward enhancing decision making. Grounded in the feedback perspective of complex systems, the book provides a practical introduction to system dynamics, and covers key concepts such as stocks, flows, and feedback. Societal challenges such as predicting the impact of an emerging infectious disease, estimating population growth, and assessing the capacity of health services to cope with demographic change can all benefit from the application of computer simulation. This text explains important building blocks of the system dynamics approach, including material delays, stock management heuristics, and how to model effects between different systemic elements. Models from epidemiology, health systems, and economics are presented to illuminate important ideas, and the R programming language is used to provide an open-source and interoperable way to build system dynamics models. System Dynamics Modeling with R also describes hands-on techniques that can enhance client confidence in system dynamic models, including model testing, model analysis, and calibration. Developed from the author’s course in system dynamics, this book is written for undergraduate and postgraduate students of management, operations research, computer science, and applied mathematics. Its focus is on the fundamental building blocks of system dynamics models, and its choice of R as a modeling language make it an ideal reference text for those wishing to integrate system dynamics modeling with related data analytic methods and techniques.

Operations Research Proceedings 1994
Operations Research Proceedings 1994

Author: Ulrich Derigs

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 593

ISBN-13: 3642794599

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An insight into the latest results from the world of operations research - a wide-ranging field, as is shown by the book's 24 sections, corresponding to the conference program itself. Although problems of a primarily methodological nature are discussed, the emphasis is placed firmly on practical subjects, such as reports from the fields of healthcare, environmental protection, logistics and traffic engineering. This selection also clearly illustrates the extent to which OR is spreading into and already interwoven in other scientific disciplines.

Operations Research
Operations Research

Author: Hamdy A. Taha

Publisher: Prentice Hall

Published: 2007

Total Pages: 813

ISBN-13: 9780131889231

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Significantly revised, this book provides balanced coverage of the theory, applications, and computations of operations research. The applications and computations in operations research are emphasized.Significantly revised, this text streamlines the coverage of the theory, applications, and computations of operations research. Numerical examples are effectively used to explain complex mathematical concepts. A separate chapter of fully analyzed applications aptly demonstrates the diverse use of OR. The popular commercial and tutorial software AMPL, Excel, Excel Solver, and Tora are used throughout the book to solve practical problems and to test theoretical concepts. New materials include Markov chains, TSP heuristics, new LP models, and a totally new simplex-based approach to LP sensitivity analysis.

FUNSAR Spanish: Fundamentos de Búsqueda y Rescate, Segunda Edición
FUNSAR Spanish: Fundamentos de Búsqueda y Rescate, Segunda Edición

Author:

Publisher: Jones & Bartlett Learning

Published: 2019-06-26

Total Pages: 473

ISBN-13: 128421205X

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FUNCIONES DINÁMICAS• Sugerencias de búsqueda y rescate• Los consejos de seguridad alertan al personal de SAR sobre los riesgos esperados y los potenciales imprevistos• Los recursos listados proporcionan sugerencias para profundizar en el estudio de los temas de cada capítulo• Las fotografías e ilustraciones a todo color apoyan y ayudan a aclarar el textoONTENIDO INTEGRALFUNCONTENIDO INTEGRAL• Lineamientos para asegurar que el personal de búsqueda y rescate (SAR) esté preparado física y mentalmente para la búsqueda y rescate• Consideraciones legales y éticas importantes para la búsqueda y rescate• Una extensa variedad de equipo de SAR, ropa y tecnología y cuando debe usarse cada uno• Métodos de supervivencia e improvisación en diversos ambientes• Métodos de seguimiento y herramientas de navegaciónFundamentos de Búsqueda y Rescate (FUNSAR), Segunda edición constituye un recurso integral para el personal nuevo y experimentado de búsqueda y rescate (SAR, por sus siglas en inglés). Proporcionando una visión general de los aspectos y procedimientos de búsqueda y rescate, FUNSAR enseña las técnicas esenciales empleadas de manera satisfactoria por casi todo el personal de búsqueda y rescate. FUNSAR ofrece un enfoque profundo y práctico para la búsqueda y rescate y es recomendado para todos los respondientes de emergencia.La Segunda edición ha sido actualizada en su totalidad para satisfacer las necesidades actuales del personal de búsqueda y rescate, destacando el equipo y la tecnología más recientes y enfocándose en las técnicas de búsqueda y rescate probadas y eficaces. Cubre todas las áreas de búsqueda y rescate, desde elegir la mejor ropa y calzado considerando el medio ambiente, hasta empacar ligero e improvisar, el seguimiento y la localización de sujetos. Ideal para profesionales remunerados y para voluntarios, este recurso esencial combina las características dinámicas con el contenido más reciente y completo.