Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Condition: New.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Language: French
Published by Hachette Livre Bnf 2/1/2018, 2018
ISBN 10: 2019218658 ISBN 13: 9782019218652
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. de la Basse Volerie Et Du Dressage Pratique de l'Autour Et de l'�pervier. Book.
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: As New. Unread book in perfect condition.
Seller: California Books, Miami, FL, U.S.A.
Condition: New.
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
US$ 23.13
Quantity: Over 20 available
Add to basketPaperback. Condition: New.
Seller: Ammareal, Morangis, France
US$ 6.61
Quantity: 1 available
Add to basketSoftcover. Condition: Très bon. Edition 2018. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Edition 2018. Ammareal gives back up to 15% of this item's net price to charity organizations.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 18.05
Quantity: Over 20 available
Add to basketCondition: New. In.
Language: French
Published by HACHETTE LIVRE-BNF 2018-02-28, 2018
ISBN 10: 2019218666 ISBN 13: 9782019218669
Seller: Chiron Media, Wallingford, United Kingdom
US$ 14.63
Quantity: 10 available
Add to basketPaperback. Condition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 18.04
Quantity: Over 20 available
Add to basketCondition: New.
Language: French
Published by HACHETTE LIVRE-BNF 2018-02-28, 2018
ISBN 10: 2019218658 ISBN 13: 9782019218652
Seller: Chiron Media, Wallingford, United Kingdom
US$ 18.39
Quantity: 10 available
Add to basketPaperback. Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
US$ 23.76
Quantity: Over 20 available
Add to basketCondition: New. In.
Language: English
Published by American Mathematical Society, 2024
ISBN 10: 1470478390 ISBN 13: 9781470478391
Seller: Book Dispensary, Concord, ON, Canada
Soft cover. Condition: New. BRAND NEW softcover, sealed in publisher's plastic. Book.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 20.91
Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 21.24
Quantity: Over 20 available
Add to basketCondition: New.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
US$ 24.97
Quantity: Over 20 available
Add to basketCondition: As New. Unread book in perfect condition.
Seller: Gallix, Gif sur Yvette, France
Condition: Neuf.
Language: English
Published by American Mathematical Society, 2024
ISBN 10: 1470478390 ISBN 13: 9781470478391
Seller: Brook Bookstore On Demand, Napoli, NA, Italy
Condition: new.
Language: English
Published by American Mathematical Society, US, 2024
ISBN 10: 1470478390 ISBN 13: 9781470478391
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Paperback. Condition: New. This textbook introduces the major ideas of stochastic analysis with a view to modeling or simulating systems involving randomness. Suitable for students and researchers in applied mathematics and related disciplines, this book prepares readers to solve concrete problems arising in physically motivated models. The author's practical approach avoids measure theory while retaining rigor for cases where it helps build techniques or intuition. Topics covered include Markov chains (discrete and continuous), Gaussian processes, Ito calculus, and stochastic differential equations and their associated PDEs. We ask questions such as: How does probability evolve? How do statistics evolve? How can we solve for time-dependent quantities such as first-passage times? How can we set up a model that includes fundamental principles such as time-reversibility (detailed balance)? How can we simulate a stochastic process numerically? Applied Stochastic Analysis invites readers to develop tools and insights for tackling physical systems involving randomness. Exercises accompany the text throughout, with frequent opportunities to implement simulation algorithms. A strong undergraduate background in linear algebra, probability, ODEs, and PDEs is assumed, along with the mathematical sophistication characteristic of a graduate student.
Language: English
Published by MP-AMM American Mathematical, 2024
ISBN 10: 1470478390 ISBN 13: 9781470478391
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
Language: English
Published by American Mathematical Society, Providence, 2024
ISBN 10: 1470478390 ISBN 13: 9781470478391
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condition: new. Paperback. This textbook introduces the major ideas of stochastic analysis with a view to modeling or simulating systems involving randomness. Suitable for students and researchers in applied mathematics and related disciplines, this book prepares readers to solve concrete problems arising in physically motivated models. The author's practical approach avoids measure theory while retaining rigor for cases where it helps build techniques or intuition. Topics covered include Markov chains (discrete and continuous), Gaussian processes, Ito calculus, and stochastic differential equations and their associated PDEs. We ask questions such as: How does probability evolve? How do statistics evolve? How can we solve for time-dependent quantities such as first-passage times? How can we set up a model that includes fundamental principles such as time-reversibility (detailed balance)? How can we simulate a stochastic process numerically? Applied Stochastic Analysis invites readers to develop tools and insights for tackling physical systems involving randomness. Exercises accompany the text throughout, with frequent opportunities to implement simulation algorithms. A strong undergraduate background in linear algebra, probability, ODEs, and PDEs is assumed, along with the mathematical sophistication characteristic of a graduate student. Stochastic analysis tackles randomness in physical systems by blending simulation methods with hands-on problem-solving strategies. It examines key concepts like Markov chains, Gaussian processes, Ito calculus and stochastic differential equations, building intuition for modeling evolving, time-dependent phenomena. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Language: English
Published by American Mathematical Society, 2024
ISBN 10: 1470478390 ISBN 13: 9781470478391
Seller: Majestic Books, Hounslow, United Kingdom
Condition: New.
Language: English
Published by American Mathematical Society, 2024
ISBN 10: 1470478390 ISBN 13: 9781470478391
Seller: Books Puddle, New York, NY, U.S.A.
Condition: New.
Language: English
Published by American Mathematical Society, 2024
ISBN 10: 1470478390 ISBN 13: 9781470478391
Seller: THE SAINT BOOKSTORE, Southport, United Kingdom
US$ 81.65
Quantity: 8 available
Add to basketPaperback / softback. Condition: New. New copy - Usually dispatched within 4 working days.
Condition: New.
Seller: moluna, Greven, Germany
Condition: New.
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Language: English
Published by American Mathematical Society, US, 2024
ISBN 10: 1470478390 ISBN 13: 9781470478391
Seller: Rarewaves.com UK, London, United Kingdom
US$ 66.10
Quantity: 4 available
Add to basketPaperback. Condition: New. This textbook introduces the major ideas of stochastic analysis with a view to modeling or simulating systems involving randomness. Suitable for students and researchers in applied mathematics and related disciplines, this book prepares readers to solve concrete problems arising in physically motivated models. The author's practical approach avoids measure theory while retaining rigor for cases where it helps build techniques or intuition. Topics covered include Markov chains (discrete and continuous), Gaussian processes, Ito calculus, and stochastic differential equations and their associated PDEs. We ask questions such as: How does probability evolve? How do statistics evolve? How can we solve for time-dependent quantities such as first-passage times? How can we set up a model that includes fundamental principles such as time-reversibility (detailed balance)? How can we simulate a stochastic process numerically? Applied Stochastic Analysis invites readers to develop tools and insights for tackling physical systems involving randomness. Exercises accompany the text throughout, with frequent opportunities to implement simulation algorithms. A strong undergraduate background in linear algebra, probability, ODEs, and PDEs is assumed, along with the mathematical sophistication characteristic of a graduate student.