Editore: Cambridge University Press, 2023
ISBN 10: 1009166158 ISBN 13: 9781009166157
Lingua: Inglese
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ISBN 10: 1009166158 ISBN 13: 9781009166157
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Paperback or Softback. Condizione: New. An Introduction to Optimization on Smooth Manifolds. Book.
Editore: Cambridge University Press, 2023
ISBN 10: 1009166158 ISBN 13: 9781009166157
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
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Editore: Cambridge University Press, 2023
ISBN 10: 1009166158 ISBN 13: 9781009166157
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ISBN 10: 1009166158 ISBN 13: 9781009166157
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Editore: Cambridge University Press, 2023
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Aggiungi al carrelloPaperback. Condizione: Brand New. 400 pages. 10.00x7.00x0.74 inches. In Stock.
Editore: Cambridge University Press, 2023
ISBN 10: 1009166158 ISBN 13: 9781009166157
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Da: Books Puddle, New York, NY, U.S.A.
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Editore: Cambridge University Press, 2023
ISBN 10: 1009166174 ISBN 13: 9781009166171
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Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009166158 ISBN 13: 9781009166157
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science and engineering, including machine learning, computer vision, signal processing, dynamical systems and scientific computing. This text introduces the differential geometry and Riemannian geometry concepts that will help students and researchers in applied mathematics, computer science and engineering gain a firm mathematical grounding to use these tools confidently in their research. Its charts-last approach will prove more intuitive from an optimizer's viewpoint, and all definitions and theorems are motivated to build time-tested optimization algorithms. Starting from first principles, the text goes on to cover current research on topics including worst-case complexity and geodesic convexity. Readers will appreciate the tricks of the trade for conducting research and for numerical implementations sprinkled throughout the book. This is a modern invitation to algorithms for optimization with geometry for researchers and advanced undergraduate and graduate students in applied mathematics, computer science and engineering. Readers will appreciate the approachable, yet proof-based, introduction to differential geometry, which is often restricted to pure mathematics curricula. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Editore: Cambridge University Press, 2023
ISBN 10: 1009166158 ISBN 13: 9781009166157
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ISBN 10: 1009166158 ISBN 13: 9781009166157
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Editore: Cambridge University Press Mär 2023, 2023
ISBN 10: 1009166158 ISBN 13: 9781009166157
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware - 'This is a modern invitation to algorithms for optimization with geometry for researchers and advanced undergraduate and graduate students in applied mathematics, computer science and engineering. Readers will appreciate the approachable, yet proof-based, introduction to differential geometry, which is often restricted to pure mathematics curricula'--.
Editore: Cambridge University Press, 2023
ISBN 10: 1009166174 ISBN 13: 9781009166171
Lingua: Inglese
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. An Introduction to Optimization on Smooth Manifolds | Nicolas Boumal | Taschenbuch | Kartoniert / Broschiert | Englisch | 2023 | Cambridge University Press | EAN 9781009166157 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.
Editore: Cambridge University Press, 2023
ISBN 10: 1009166174 ISBN 13: 9781009166171
Lingua: Inglese
Da: GreatBookPricesUK, Woodford Green, Regno Unito
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Editore: Cambridge University Press, 2023
ISBN 10: 1009166174 ISBN 13: 9781009166171
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Editore: Cambridge University Press, 2023
ISBN 10: 1009166174 ISBN 13: 9781009166171
Lingua: Inglese
Da: GreatBookPrices, Columbia, MD, U.S.A.
Condizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2023
ISBN 10: 1009166174 ISBN 13: 9781009166171
Lingua: Inglese
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Editore: Cambridge University Press, 2023
ISBN 10: 1009166174 ISBN 13: 9781009166171
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Da: Books Puddle, New York, NY, U.S.A.
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Editore: Cambridge University Press, 2023
ISBN 10: 1009166174 ISBN 13: 9781009166171
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Da: moluna, Greven, Germania
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Aggiungi al carrelloHardcover. Condizione: Brand New. 400 pages. 10.00x7.00x0.81 inches. In Stock.
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009166158 ISBN 13: 9781009166157
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science and engineering, including machine learning, computer vision, signal processing, dynamical systems and scientific computing. This text introduces the differential geometry and Riemannian geometry concepts that will help students and researchers in applied mathematics, computer science and engineering gain a firm mathematical grounding to use these tools confidently in their research. Its charts-last approach will prove more intuitive from an optimizer's viewpoint, and all definitions and theorems are motivated to build time-tested optimization algorithms. Starting from first principles, the text goes on to cover current research on topics including worst-case complexity and geodesic convexity. Readers will appreciate the tricks of the trade for conducting research and for numerical implementations sprinkled throughout the book. This is a modern invitation to algorithms for optimization with geometry for researchers and advanced undergraduate and graduate students in applied mathematics, computer science and engineering. Readers will appreciate the approachable, yet proof-based, introduction to differential geometry, which is often restricted to pure mathematics curricula. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2023
ISBN 10: 1009166158 ISBN 13: 9781009166157
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 53,89
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Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 670.
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009166158 ISBN 13: 9781009166157
Lingua: Inglese
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Aggiungi al carrelloPaperback. Condizione: new. Paperback. Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science and engineering, including machine learning, computer vision, signal processing, dynamical systems and scientific computing. This text introduces the differential geometry and Riemannian geometry concepts that will help students and researchers in applied mathematics, computer science and engineering gain a firm mathematical grounding to use these tools confidently in their research. Its charts-last approach will prove more intuitive from an optimizer's viewpoint, and all definitions and theorems are motivated to build time-tested optimization algorithms. Starting from first principles, the text goes on to cover current research on topics including worst-case complexity and geodesic convexity. Readers will appreciate the tricks of the trade for conducting research and for numerical implementations sprinkled throughout the book. This is a modern invitation to algorithms for optimization with geometry for researchers and advanced undergraduate and graduate students in applied mathematics, computer science and engineering. Readers will appreciate the approachable, yet proof-based, introduction to differential geometry, which is often restricted to pure mathematics curricula. 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.
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009166174 ISBN 13: 9781009166171
Lingua: Inglese
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science and engineering, including machine learning, computer vision, signal processing, dynamical systems and scientific computing. This text introduces the differential geometry and Riemannian geometry concepts that will help students and researchers in applied mathematics, computer science and engineering gain a firm mathematical grounding to use these tools confidently in their research. Its charts-last approach will prove more intuitive from an optimizer's viewpoint, and all definitions and theorems are motivated to build time-tested optimization algorithms. Starting from first principles, the text goes on to cover current research on topics including worst-case complexity and geodesic convexity. Readers will appreciate the tricks of the trade for conducting research and for numerical implementations sprinkled throughout the book. This is a modern invitation to algorithms for optimization with geometry for researchers and advanced undergraduate and graduate students in applied mathematics, computer science and engineering. Readers will appreciate the approachable, yet proof-based, introduction to differential geometry, which is often restricted to pure mathematics curricula. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Editore: Cambridge University Press, 2023
ISBN 10: 1009166174 ISBN 13: 9781009166171
Lingua: Inglese
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 140,10
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Aggiungi al carrelloHardback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 890.
Editore: Cambridge University Press, Cambridge, 2023
ISBN 10: 1009166174 ISBN 13: 9781009166171
Lingua: Inglese
Da: CitiRetail, Stevenage, Regno Unito
EUR 139,55
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: new. Hardcover. Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science and engineering, including machine learning, computer vision, signal processing, dynamical systems and scientific computing. This text introduces the differential geometry and Riemannian geometry concepts that will help students and researchers in applied mathematics, computer science and engineering gain a firm mathematical grounding to use these tools confidently in their research. Its charts-last approach will prove more intuitive from an optimizer's viewpoint, and all definitions and theorems are motivated to build time-tested optimization algorithms. Starting from first principles, the text goes on to cover current research on topics including worst-case complexity and geodesic convexity. Readers will appreciate the tricks of the trade for conducting research and for numerical implementations sprinkled throughout the book. This is a modern invitation to algorithms for optimization with geometry for researchers and advanced undergraduate and graduate students in applied mathematics, computer science and engineering. Readers will appreciate the approachable, yet proof-based, introduction to differential geometry, which is often restricted to pure mathematics curricula. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.