delic george (17 resultados)

Paperback. Condición: Very Good. Ex-Library paperback in very nice condition with all the usual markings and attachments. Text block clean and unmarked. Tight binding.

Condición: New.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

Hardcover. Condición: Brand New. 484 pages. 9.25x6.10x9.25 inches. In Stock.

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - The focus of this unique textbook/reference is on numerical algorithms that are stable and provide high precision in common numerical problems encountered in large-scale modeling projects.The techniques presented are based on algorithms developed by the author over six decades of research and publications in peer-reviewed journals. The exposition includes topics typical of numerical analysis courses and is supplemented with examples of algorithms demonstrated in an engineering worksheet that is easy to read and comprehend. Each chapter ends with exercises and programming problems. Additional examples are available as downloadable Fortran code based on the author s large-scale models in computational physics. The limitations of commodity processors and modern compilers is discussed, with advice provided on how to control them in an algorithm s code design. An ample bibliography of over 200 citations provides a guide to further reading.Topics, features, and emphases: Stability: knowing the range of algorithm parameters for producing reliable results Accuracy: understanding convergence to a result through quantitative metrics Precision: advance knowledge of the expected numerical precision and how to control it Efficiency: translating an algorithm into code with limited redundant computationThe primary target audience of this textbook/guide are senior graduate (or postgraduate) students in computer science and scientific or engineering fields who are starting on a career path as the next generation of model developers for high-performance computing (HPC). Additionally, the book will appeal to professionals engaged in large-scale computer model development who could use the volume as a course supplement or reference. The author is an Honorary Fellow of the University of Wollongong, New South Wales, Australia.

Condición: new. Questo è un articolo print on demand.

Hardcover. Condición: new. Hardcover. The focus of this unique textbook/reference is on numerical algorithms that are stable and provide high precision in common numerical problems encountered in large-scale modeling projects. The techniques presented are based on algorithms developed by the author over six decades of research and publications in peer-reviewed journals. The exposition includes topics typical of numerical analysis courses and is supplemented with examples of algorithms demonstrated in an engineering worksheet that is easy to read and comprehend. Each chapter ends with exercises and programming problems. Additional examples are available as downloadable Fortran code based on the authors large-scale models in computational physics. The limitations of commodity processors and modern compilers is discussed, with advice provided on how to control them in an algorithms code design. An ample bibliography of over 200 citations provides a guide to further reading.Topics, features, and emphases: Stability: knowing the range of algorithm parameters for producing reliable results Accuracy: understanding convergence to a result through quantitative metrics Precision: advance knowledge of the expected numerical precision and how to control it Efficiency: translating an algorithm into code with limited redundant computationThe primary target audience of this textbook/guide are senior graduate (or postgraduate) students in computer science and scientific or engineering fields who are starting on a career path as the next generation of model developers for high-performance computing (HPC). Additionally, the book will appeal to professionals engaged in large-scale computer model development who could use the volume as a course supplement or reference. The author is an Honorary Fellow of the University of Wollongong, New South Wales, Australia. He is active as a private consultant in HPC and CEO of HiPERiSM Consulting, LLC, in the United States of America. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The focus of this unique textbook/reference is on numerical algorithms that are stable and provide high precision in common numerical problems encountered in large-scale modeling projects.The techniques presented are based on algorithms developed by the author over six decades of research and publications in peer-reviewed journals. The exposition includes topics typical of numerical analysis courses and is supplemented with examples of algorithms demonstrated in an engineering worksheet that is easy to read and comprehend. Each chapter ends with exercises and programming problems. Additional examples are available as downloadable Fortran code based on the author s large-scale models in computational physics. The limitations of commodity processors and modern compilers is discussed, with advice provided on how to control them in an algorithm s code design. An ample bibliography of over 200 citations provides a guide to further reading.Topics, features, and emphases: Stability: knowing the range of algorithm parameters for producing reliable results Accuracy: understanding convergence to a result through quantitative metrics Precision: advance knowledge of the expected numerical precision and how to control it Efficiency: translating an algorithm into code with limited redundant computationThe primary target audience of this textbook/guide are senior graduate (or postgraduate) students in computer science and scientific or engineering fields who are starting on a career path as the next generation of model developers for high-performance computing (HPC). Additionally, the book will appeal to professionals engaged in large-scale computer model development who could use the volume as a course supplement or reference. The author is an Honorary Fellow of the University of Wollongong, New South Wales, Australia. 243 pp. Englisch.

Condición: New. Print on Demand.

Hardcover. Condición: new. Hardcover. The focus of this unique textbook/reference is on numerical algorithms that are stable and provide high precision in common numerical problems encountered in large-scale modeling projects. The techniques presented are based on algorithms developed by the author over six decades of research and publications in peer-reviewed journals. The exposition includes topics typical of numerical analysis courses and is supplemented with examples of algorithms demonstrated in an engineering worksheet that is easy to read and comprehend. Each chapter ends with exercises and programming problems. Additional examples are available as downloadable Fortran code based on the authors large-scale models in computational physics. The limitations of commodity processors and modern compilers is discussed, with advice provided on how to control them in an algorithms code design. An ample bibliography of over 200 citations provides a guide to further reading.Topics, features, and emphases: Stability: knowing the range of algorithm parameters for producing reliable results Accuracy: understanding convergence to a result through quantitative metrics Precision: advance knowledge of the expected numerical precision and how to control it Efficiency: translating an algorithm into code with limited redundant computationThe primary target audience of this textbook/guide are senior graduate (or postgraduate) students in computer science and scientific or engineering fields who are starting on a career path as the next generation of model developers for high-performance computing (HPC). Additionally, the book will appeal to professionals engaged in large-scale computer model development who could use the volume as a course supplement or reference. The author is an Honorary Fellow of the University of Wollongong, New South Wales, Australia. He is active as a private consultant in HPC and CEO of HiPERiSM Consulting, LLC, in the United States of America. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Condición: New. PRINT ON DEMAND.

Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The focus of this unique textbook/reference is on numerical algorithms that are stable and provide high precision in common numerical problems encountered in large-scale modeling projects.The techniques presented are based on algorithms developed by the author over six decades of research and publications in peer-reviewed journals. The exposition includes topics typical of numerical analysis courses and is supplemented with examples of algorithms demonstrated in an engineering worksheet that is easy to read and comprehend. Each chapter ends with exercises and programming problems. Additional examples are available as downloadable Fortran code based on the author's large-scale models in computational physics. The limitations of commodity processors and modern compilers is discussed, with advice provided on how to control them in an algorithm's code design. An ample bibliography of over 200 citations provides a guide to further reading.Topics, features, and emphases: Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 272 pp. Englisch.

Hardcover. Condición: new. Hardcover. The focus of this unique textbook/reference is on numerical algorithms that are stable and provide high precision in common numerical problems encountered in large-scale modeling projects. The techniques presented are based on algorithms developed by the author over six decades of research and publications in peer-reviewed journals. The exposition includes topics typical of numerical analysis courses and is supplemented with examples of algorithms demonstrated in an engineering worksheet that is easy to read and comprehend. Each chapter ends with exercises and programming problems. Additional examples are available as downloadable Fortran code based on the authors large-scale models in computational physics. The limitations of commodity processors and modern compilers is discussed, with advice provided on how to control them in an algorithms code design. An ample bibliography of over 200 citations provides a guide to further reading.Topics, features, and emphases: Stability: knowing the range of algorithm parameters for producing reliable results Accuracy: understanding convergence to a result through quantitative metrics Precision: advance knowledge of the expected numerical precision and how to control it Efficiency: translating an algorithm into code with limited redundant computationThe primary target audience of this textbook/guide are senior graduate (or postgraduate) students in computer science and scientific or engineering fields who are starting on a career path as the next generation of model developers for high-performance computing (HPC). Additionally, the book will appeal to professionals engaged in large-scale computer model development who could use the volume as a course supplement or reference. The author is an Honorary Fellow of the University of Wollongong, New South Wales, Australia. He is active as a private consultant in HPC and CEO of HiPERiSM Consulting, LLC, in the United States of America. 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.