9781009303866 - numerical methods in physics with python di gezerlis, alex (26 risultati)

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Da: A Team Books, Conway, AR, U.S.A.A Team Books
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paperback. Condizione: Acceptable. Book has water damage and/or stains. Pretty bad condition, but still fully functional. Proven Seller with Excellent Customer Service. Choose expedited shipping and get it FAST.

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paperback. Condizione: Very Good.

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Condizione: good. Has a sturdy binding with some shelf wear. May have some markings or highlighting. Used copies may not include access codes or Cd's. Slight bending may be present.

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Da: Textbooks_Source, Columbia, MO, U.S.A.Textbooks_Source
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paperback. Condizione: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).

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Da: California Books, Miami, FL, U.S.A.California Books
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Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Condizione: As New. Unread book in perfect condition.

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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Da: Chiron Media, Wallingford, , Regno UnitoChiron Media
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Paperback. Condizione: New. 2nd. Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gem…s on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.

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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. 2023. 2nd Edition. Paperback. . . . . .

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Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. 2023. 2nd Edition. Paperback. . . . . . Books ship from the US and Ireland.

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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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EUR 99,89
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Paperback. Condizione: Brand New. 2nd edition. 700 pages. 10.00x7.00x1.41 inches. In Stock.

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Da: moluna, Greven, , Germaniamoluna
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EUR 68,29
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Condizione: New. Über den AutorAlex Gezerlis is Professor of Physics at the University of Guelph. Before moving to Canada, he worked in Germany, the United States, and Greece. He has received several research awards, grants, and allocations on super.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 71,87
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Taschenbuch. Condizione: Neu. Neuware - Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hid…den gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.
Altre immagini- Brossura
Da: preigu, Osnabrück, Germaniapreigu
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EUR 76,45
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Taschenbuch. Condizione: Neu. Numerical Methods in Physics with Python | Alex Gezerlis | Taschenbuch | Kartoniert / Broschiert | Englisch | 2023 | Cambridge University Press | EAN 9781009303866 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

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Da: Rarewaves.com UK, London, Regno UnitoRarewaves.com UK
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EUR 76,62
EUR 74,89 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: New. 2nd. Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidden gem…s on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject.

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Da: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 125,16
EUR 32,29 spedizioneSpedito da Australia a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidd…en gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject. Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this book covers linear algebra, differential equations, root-finding, interpolation, and integration. Fully implementing many numerical methods in Python and with 140 new problems, it is an ideal standalone textbook on computational physics. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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- Print on Demand
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.Grand Eagle Retail
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EUR 77,21
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Paperback. Condizione: new. Paperback. Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidd…en gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject. Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this book covers linear algebra, differential equations, root-finding, interpolation, and integration. Fully implementing many numerical methods in Python and with 140 new problems, it is an ideal standalone textbook on computational physics. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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- Print on Demand
Da: Revaluation Books, Exeter, , Regno UnitoRevaluation Books
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EUR 65,67
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Paperback. Condizione: Brand New. 2nd edition. 700 pages. 10.00x7.00x1.41 inches. In Stock. This item is printed on demand.

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- Print on Demand
Da: Majestic Books, Hounslow, , Regno UnitoMajestic Books
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Condizione: New. Print on Demand.

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Da: Biblios, frankfurt am main, HESSE, GermaniaBiblios
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EUR 107,43
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Condizione: New. PRINT ON DEMAND.

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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 90,77
EUR 42,63 spedizioneSpedito da Regno Unito a U.S.A.Quantità: 1 disponibili
Paperback. Condizione: new. Paperback. Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this is an ideal standalone textbook for courses on computational physics. All the frequently used numerical methods in physics are explained, including foundational techniques and hidd…en gems on topics such as linear algebra, differential equations, root-finding, interpolation, and integration. The second edition of this introductory book features several new codes and 140 new problems (many on physics applications), as well as new sections on the singular-value decomposition, derivative-free optimization, Bayesian linear regression, neural networks, and partial differential equations. The last section in each chapter is an in-depth project, tackling physics problems that cannot be solved without the use of a computer. Written primarily for students studying computational physics, this textbook brings the non-specialist quickly up to speed with Python before looking in detail at the numerical methods often used in the subject. Bringing together idiomatic Python programming, foundational numerical methods, and physics applications, this book covers linear algebra, differential equations, root-finding, interpolation, and integration. Fully implementing many numerical methods in Python and with 140 new problems, it is an ideal standalone textbook on computational physics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.