Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
Da: PBShop.store US, Wood Dale, IL, U.S.A.
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Lingua: Inglese
Editore: Princeton University Press, US, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
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Aggiungi al carrelloHardback. Condizione: New. Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from the latest methods and applications to show how they arise naturally in the theory of linear control systems. Magnus Egerstedt and Clyde Martin are leading innovators in the use of control theoretic splines to bring together many diverse applications within a common framework. In this book, they begin with a series of problems ranging from path planning to statistics to approximation. Using the tools of optimization over vector spaces, Egerstedt and Martin demonstrate how all of these problems are part of the same general mathematical framework, and how they are all, to a certain degree, a consequence of the optimization problem of finding the shortest distance from a point to an affine subspace in a Hilbert space. They cover periodic splines, monotone splines, and splines with inequality constraints, and explain how any finite number of linear constraints can be added.This book reveals how the many natural connections between control theory, numerical analysis, and statistics can be used to generate powerful mathematical and analytical tools. This book is an excellent resource for students and professionals in control theory, robotics, engineering, computer graphics, econometrics, and any area that requires the construction of curves based on sets of raw data.
Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
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Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: Princeton University Press, 2010
ISBN 10: 0691132968 ISBN 13: 9780691132969
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Aggiungi al carrelloCondizione: New. Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from various methods and applications to show how they arise naturally in the theory of linear control systems. Series: Princeton Series in Applied Mathematics. Num Pages: 232 pages, 31 line illus. BIC Classification: PBC; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 241 x 161 x 18. Weight in Grams: 466. . 2009. Hardcover. . . . .
Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Lingua: Inglese
Editore: Princeton University Press, US, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
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Aggiungi al carrelloHardback. Condizione: New. Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from the latest methods and applications to show how they arise naturally in the theory of linear control systems. Magnus Egerstedt and Clyde Martin are leading innovators in the use of control theoretic splines to bring together many diverse applications within a common framework. In this book, they begin with a series of problems ranging from path planning to statistics to approximation. Using the tools of optimization over vector spaces, Egerstedt and Martin demonstrate how all of these problems are part of the same general mathematical framework, and how they are all, to a certain degree, a consequence of the optimization problem of finding the shortest distance from a point to an affine subspace in a Hilbert space. They cover periodic splines, monotone splines, and splines with inequality constraints, and explain how any finite number of linear constraints can be added.This book reveals how the many natural connections between control theory, numerical analysis, and statistics can be used to generate powerful mathematical and analytical tools. This book is an excellent resource for students and professionals in control theory, robotics, engineering, computer graphics, econometrics, and any area that requires the construction of curves based on sets of raw data.
Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
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Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
Da: Kennys Bookstore, Olney, MD, U.S.A.
Condizione: New. Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from various methods and applications to show how they arise naturally in the theory of linear control systems. Series: Princeton Series in Applied Mathematics. Num Pages: 232 pages, 31 line illus. BIC Classification: PBC; PBW. Category: (P) Professional & Vocational; (U) Tertiary Education (US: College). Dimension: 241 x 161 x 18. Weight in Grams: 466. . 2009. Hardcover. . . . . Books ship from the US and Ireland.
Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Princeton University Press, US, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
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Aggiungi al carrelloHardback. Condizione: New. Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from the latest methods and applications to show how they arise naturally in the theory of linear control systems. Magnus Egerstedt and Clyde Martin are leading innovators in the use of control theoretic splines to bring together many diverse applications within a common framework. In this book, they begin with a series of problems ranging from path planning to statistics to approximation. Using the tools of optimization over vector spaces, Egerstedt and Martin demonstrate how all of these problems are part of the same general mathematical framework, and how they are all, to a certain degree, a consequence of the optimization problem of finding the shortest distance from a point to an affine subspace in a Hilbert space. They cover periodic splines, monotone splines, and splines with inequality constraints, and explain how any finite number of linear constraints can be added.This book reveals how the many natural connections between control theory, numerical analysis, and statistics can be used to generate powerful mathematical and analytical tools. This book is an excellent resource for students and professionals in control theory, robotics, engineering, computer graphics, econometrics, and any area that requires the construction of curves based on sets of raw data.
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Aggiungi al carrelloHardcover. Condizione: Brand New. 217 pages. 9.25x6.25x0.75 inches. In Stock.
Lingua: Inglese
Editore: Princeton University Press, US, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
Da: Rarewaves.com UK, London, Regno Unito
EUR 76,30
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Aggiungi al carrelloHardback. Condizione: New. Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from the latest methods and applications to show how they arise naturally in the theory of linear control systems. Magnus Egerstedt and Clyde Martin are leading innovators in the use of control theoretic splines to bring together many diverse applications within a common framework. In this book, they begin with a series of problems ranging from path planning to statistics to approximation. Using the tools of optimization over vector spaces, Egerstedt and Martin demonstrate how all of these problems are part of the same general mathematical framework, and how they are all, to a certain degree, a consequence of the optimization problem of finding the shortest distance from a point to an affine subspace in a Hilbert space. They cover periodic splines, monotone splines, and splines with inequality constraints, and explain how any finite number of linear constraints can be added.This book reveals how the many natural connections between control theory, numerical analysis, and statistics can be used to generate powerful mathematical and analytical tools. This book is an excellent resource for students and professionals in control theory, robotics, engineering, computer graphics, econometrics, and any area that requires the construction of curves based on sets of raw data.
Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
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Lingua: Inglese
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ISBN 10: 0691132968 ISBN 13: 9780691132969
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Aggiungi al carrelloHardcover. Condizione: Brand New. 217 pages. 9.25x6.25x0.75 inches. In Stock. This item is printed on demand.
Lingua: Inglese
Editore: Princeton University Press, 2010
ISBN 10: 0691132968 ISBN 13: 9780691132969
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Aggiungi al carrelloCondizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from various methods and applications to show how they ari.
Lingua: Inglese
Editore: Princeton University Press, 2009
ISBN 10: 0691132968 ISBN 13: 9780691132969
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EUR 80,86
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Aggiungi al carrelloBuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Splines, both interpolatory and smoothing, have a long and rich history that has largely been application driven. This book unifies these constructions in a comprehensive and accessible way, drawing from the latest methods and applications to show how they arise naturally in the theory of linear control systems. Magnus Egerstedt and Clyde Martin are leading innovators in the use of control theoretic splines to bring together many diverse applications within a common framework. In this book, they begin with a series of problems ranging from path planning to statistics to approximation. Using the tools of optimization over vector spaces, Egerstedt and Martin demonstrate how all of these problems are part of the same general mathematical framework, and how they are all, to a certain degree, a consequence of the optimization problem of finding the shortest distance from a point to an affine subspace in a Hilbert space. They cover periodic splines, monotone splines, and splines with inequality constraints, and explain how any finite number of linear constraints can be added. This book reveals how the many natural connections between control theory, numerical analysis, and statistics can be used to generate powerful mathematical and analytical tools.This book is an excellent resource for students and professionals in control theory, robotics, engineering, computer graphics, econometrics, and any area that requires the construction of curves based on sets of raw data.