james nutaro (38 resultados)

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Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.

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Hardcover. Condición: new. Hardcover. Building Software for Simulation A unique guide to the design and implementation of simulation software This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development. The book approaches the topic from the perspective of Zeiglers theory of modeling and simulation, introducing the theorys fundamental concepts and showing how to apply them to engineering problems. Readers will learn five necessary skills for building simulations of complicated systems: Working with fundamental abstractions for simulating dynamic systemsDeveloping basic simulation algorithms for continuous and discrete event modelsCombining continuous and discrete event simulations into a coherent wholeApplying strategies for testing a simulationUnderstanding the theoretical foundations of the modeling constructs and simulation algorithms The central chapters of the book introduce, explain, and demonstrate the elements of the theory that are most important for building simulation tools. They are bracketed by applications to robotics, control and communications, and electric power systems; these comprehensive examples clearly illustrate how the concepts and algorithms are put to use. Readers will explore the design of object-oriented simulation programs, simulation using multi-core processors, and the integration of simulators into larger software systems. The focus on software makes this book particularly useful for computer science and computer engineering courses in simulation that focus on building simulators. It is indispensable reading for undergraduate and graduate students studying modeling and simulation, as well as for practicing scientists and engineers involved in the development of simulation tools. This book offers a concise introduction to the art of building simulation software. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Taschenbuch. Condición: Neu. Neuware -This book constitutes the revised selected papers of the 21st Smoky Mountains Computational Sciences and Engineering Conference, SMC 2021, held in Oak Ridge, TN, USA\*, in October 2021.The 33 full papers and 3 short papers presented were carefully reviewed and selected from a total of 88 submissions. The papers are organized in topical sections of computational applications: converged HPC and artificial intelligence; advanced computing applications: use cases that combine multiple aspects of data and modeling; advanced computing systems and software: connecting instruments from edge to supercomputers; deploying advanced computing platforms: on the road to a converged ecosystem; scientific data challenges.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 484 pp. Englisch.

Taschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the revised selected papers of the 21st Smoky Mountains Computational Sciences and Engineering Conference, SMC 2021, held in Oak Ridge, TN, USA\*, in October 2021.The 33 full papers and 3 short papers presented were carefully reviewed and selected from a total of 88 submissions. The papers are organized in topical sections ofcomputational applications: converged HPC and artificial intelligence; advanced computing applications: use cases that combine multiple aspects of data and modeling; advanced computing systems and software: connecting instruments from edge to supercomputers; deploying advanced computing platforms: on the road to a converged ecosystem; scientific data challenges.\*The conference was held virtually due to the COVID-19 pandemic.

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Condición: New. pp. 348.

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Condición: New. pp. 348.

Hardcover. Condición: new. Hardcover. Building Software for Simulation A unique guide to the design and implementation of simulation software This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development. The book approaches the topic from the perspective of Zeiglers theory of modeling and simulation, introducing the theorys fundamental concepts and showing how to apply them to engineering problems. Readers will learn five necessary skills for building simulations of complicated systems: Working with fundamental abstractions for simulating dynamic systemsDeveloping basic simulation algorithms for continuous and discrete event modelsCombining continuous and discrete event simulations into a coherent wholeApplying strategies for testing a simulationUnderstanding the theoretical foundations of the modeling constructs and simulation algorithms The central chapters of the book introduce, explain, and demonstrate the elements of the theory that are most important for building simulation tools. They are bracketed by applications to robotics, control and communications, and electric power systems; these comprehensive examples clearly illustrate how the concepts and algorithms are put to use. Readers will explore the design of object-oriented simulation programs, simulation using multi-core processors, and the integration of simulators into larger software systems. The focus on software makes this book particularly useful for computer science and computer engineering courses in simulation that focus on building simulators. It is indispensable reading for undergraduate and graduate students studying modeling and simulation, as well as for practicing scientists and engineers involved in the development of simulation tools. This book offers a concise introduction to the art of building simulation software. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New. This book offers a concise introduction to the art of building simulation software. Num Pages: 360 pages, Illustrations. BIC Classification: UMZ. Category: (P) Professional & Vocational. Dimension: 245 x 163 x 24. Weight in Grams: 688. . 2010. 1st Edition. Hardcover. . . . .

Condición: New. This book offers a concise introduction to the art of building simulation software. Num Pages: 360 pages, Illustrations. BIC Classification: UMZ. Category: (P) Professional & Vocational. Dimension: 245 x 163 x 24. Weight in Grams: 688. . 2010. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Buch. Condición: Neu. Neuware - A unique guide to the design and implementation of simulation softwareThis book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development.The book approaches the topic from the perspective of Zeigler's theory of modeling and simulation, introducing the theory's fundamental concepts and showing how to apply them to engineering problems. Readers will learn five necessary skills for building simulations of complicated systems:\* Working with fundamental abstractions for simulating dynamic systems\* Developing basic simulation algorithms for continuous and discrete event models\* Combining continuous and discrete event simulations into a coherent whole\* Applying strategies for testing a simulation\* Understanding the theoretical foundations of the modeling constructs and simulation algorithmsThe central chapters of the book introduce, explain, and demonstrate the elements of the theory that are most important for building simulation tools. They are bracketed by applications to robotics, control and communications, and electric power systems; these comprehensive examples clearly illustrate how the concepts and algorithms are put to use. Readers will explore the design of object-oriented simulation programs, simulation using multi-core processors, and the integration of simulators into larger software systems.The focus on software makes this book particularly useful for computer science and computer engineering courses in simulation that focus on building simulators. It is indispensable reading for undergraduate and graduate students studying modeling and simulation, as well as for practicing scientists and engineers involved in the development of simulation tools.

Hardcover. Condición: new. Hardcover. Building Software for Simulation A unique guide to the design and implementation of simulation software This book offers a concise introduction to the art of building simulation software, collecting the most important concepts and algorithms in one place. Written for both individuals new to the field of modeling and simulation as well as experienced practitioners, this guide explains the design and implementation of simulation software used in the engineering of large systems while presenting the relevant mathematical elements, concept discussions, and code development. The book approaches the topic from the perspective of Zeiglers theory of modeling and simulation, introducing the theorys fundamental concepts and showing how to apply them to engineering problems. Readers will learn five necessary skills for building simulations of complicated systems: Working with fundamental abstractions for simulating dynamic systemsDeveloping basic simulation algorithms for continuous and discrete event modelsCombining continuous and discrete event simulations into a coherent wholeApplying strategies for testing a simulationUnderstanding the theoretical foundations of the modeling constructs and simulation algorithms The central chapters of the book introduce, explain, and demonstrate the elements of the theory that are most important for building simulation tools. They are bracketed by applications to robotics, control and communications, and electric power systems; these comprehensive examples clearly illustrate how the concepts and algorithms are put to use. Readers will explore the design of object-oriented simulation programs, simulation using multi-core processors, and the integration of simulators into larger software systems. The focus on software makes this book particularly useful for computer science and computer engineering courses in simulation that focus on building simulators. It is indispensable reading for undergraduate and graduate students studying modeling and simulation, as well as for practicing scientists and engineers involved in the development of simulation tools. This book offers a concise introduction to the art of building simulation software. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Paperback. Condición: new. Paperback. This book introduces a method for modeling engineered systems to persons with a background in mathematics but little or no experience in engineering or physics. The idea emerged from a graduate course that the author taught in the mathematics department at the University of Memphis. Using the method presented here, his mathematics students finished the semester being able to look at an engineering diagram and write its governing equations. The importance of teaching mathematics students the essentials of systems modeling was highlighted in a Society for Industrial and Applied Mathematics (SIAM) Review letter by Ulrich Rude, Karen Willcox, Lois Curfman McInnes, and Hans De Sterck (Research and Education in Computational Science and Engineering, SIAM Review, vol. 60, no. 3, pgs. 707-754, 2018). They argue that undergraduate and graduate education in mathematics must include "simulation and modeling, including . physics-based models". This book meets that requirement with a modeling method that can be grasped in its essentials as a set of rules for constructing graphs. Once the essentials are firmly in hand, you will learn how the physical interpretation of a graph allows these rules to be translated into specific engineering domains: electrical and hydraulic circuits, translating and rotating planar mechanical systems, and models that are a mixture of these domains. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condición: new. Paperback. This book introduces a method for modeling engineered systems to persons with a background in mathematics but little or no experience in engineering or physics. The idea emerged from a graduate course that the author taught in the mathematics department at the University of Memphis. Using the method presented here, his mathematics students finished the semester being able to look at an engineering diagram and write its governing equations. The importance of teaching mathematics students the essentials of systems modeling was highlighted in a Society for Industrial and Applied Mathematics (SIAM) Review letter by Ulrich Rude, Karen Willcox, Lois Curfman McInnes, and Hans De Sterck (Research and Education in Computational Science and Engineering, SIAM Review, vol. 60, no. 3, pgs. 707-754, 2018). They argue that undergraduate and graduate education in mathematics must include "simulation and modeling, including . physics-based models". This book meets that requirement with a modeling method that can be grasped in its essentials as a set of rules for constructing graphs. Once the essentials are firmly in hand, you will learn how the physical interpretation of a graph allows these rules to be translated into specific engineering domains: electrical and hydraulic circuits, translating and rotating planar mechanical systems, and models that are a mixture of these domains. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Condición: new. Paperback. This book introduces a method for modeling engineered systems to persons with a background in mathematics but little or no experience in engineering or physics. The idea emerged from a graduate course that the author taught in the mathematics department at the University of Memphis. Using the method presented here, his mathematics students finished the semester being able to look at an engineering diagram and write its governing equations. The importance of teaching mathematics students the essentials of systems modeling was highlighted in a Society for Industrial and Applied Mathematics (SIAM) Review letter by Ulrich Rude, Karen Willcox, Lois Curfman McInnes, and Hans De Sterck (Research and Education in Computational Science and Engineering, SIAM Review, vol. 60, no. 3, pgs. 707-754, 2018). They argue that undergraduate and graduate education in mathematics must include "simulation and modeling, including . physics-based models". This book meets that requirement with a modeling method that can be grasped in its essentials as a set of rules for constructing graphs. Once the essentials are firmly in hand, you will learn how the physical interpretation of a graph allows these rules to be translated into specific engineering domains: electrical and hydraulic circuits, translating and rotating planar mechanical systems, and models that are a mixture of these domains. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.