9781032594750 - Classical Mechanics: A Computational Approach with Examples Using Mathematica and Python di Kulp, Christopher W.; Pagonis, Vasilis (18 risultati)

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New. 2nd edition NO-PA16APR2015-KAP.

Condizione: New. In.

Condizione: New.

Hardcover. Condizione: Brand New. 2nd edition. 608 pages. 10.00x7.00x10.00 inches. In Stock.

Hardcover. Condizione: new. Hardcover. Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary introduction to classical mechanics, with a focus on computational methods. In addition to providing clear and thorough coverage of key topics, this textbook includes integrated instructions and treatments of computation.This newly updated and revised second edition includes two new appendices instructing the reader in both the Python and Mathematica languages. All worked example problems in the second edition contain both Python and Mathematica code. New end-of-chapter problems explore the application of computational methods to classical mechanics problems.Full of pedagogy, it contains both analytical and computational example problems within the body of each chapter. The example problems teach readers both analytical methods and how to use computer algebra systems and computer programming to solve problems in classical mechanics. End-of-chapter problems allow students to hone their skills in problem solving with and without the use of a computer. The methods presented in this book can then be used by students when solving problems in other fields both within and outside of physics.It is an ideal textbook for undergraduate students in physics, mathematics, and engineering studying classical mechanics.Key Features:Gives readers the "big picture" of classical mechanics and the importance of computation in the solution of problems in physicsNumerous example problems using both analytical and computational methods, as well as explanations as to how and why specific techniques were usedOnline resources containing specific example codes to help students learn computational methods and write their own algorithmsA solutions manual is available via the Routledge Instructor Hub and all example codes in the book are available via the Support Material tab, and at the books GitHub page: _Mechanics_2nd_Edition This book provides an introduction to classical mechanics with a focus on computational methods by providing clear coverage of key topics and includes integrated instructions and treat and ents of computation. The second edition include two new appendices instructing the reader in both the Python and Mathematica languages. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Hardcover. Condizione: new. Hardcover. Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary introduction to classical mechanics, with a focus on computational methods. In addition to providing clear and thorough coverage of key topics, this textbook includes integrated instructions and treatments of computation.This newly updated and revised second edition includes two new appendices instructing the reader in both the Python and Mathematica languages. All worked example problems in the second edition contain both Python and Mathematica code. New end-of-chapter problems explore the application of computational methods to classical mechanics problems.Full of pedagogy, it contains both analytical and computational example problems within the body of each chapter. The example problems teach readers both analytical methods and how to use computer algebra systems and computer programming to solve problems in classical mechanics. End-of-chapter problems allow students to hone their skills in problem solving with and without the use of a computer. The methods presented in this book can then be used by students when solving problems in other fields both within and outside of physics.It is an ideal textbook for undergraduate students in physics, mathematics, and engineering studying classical mechanics.Key Features:Gives readers the "big picture" of classical mechanics and the importance of computation in the solution of problems in physicsNumerous example problems using both analytical and computational methods, as well as explanations as to how and why specific techniques were usedOnline resources containing specific example codes to help students learn computational methods and write their own algorithmsA solutions manual is available via the Routledge Instructor Hub and all example codes in the book are available via the Support Material tab, and at the books GitHub page: _Mechanics_2nd_Edition This book provides an introduction to classical mechanics with a focus on computational methods by providing clear coverage of key topics and includes integrated instructions and treat and ents of computation. The second edition include two new appendices instructing the reader in both the Python and Mathematica languages. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 610 pp. Englisch.

HRD. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Hardcover. Condizione: new. Hardcover. Classical Mechanics: A Computational Approach with Examples using Python and Mathematica provides a unique, contemporary introduction to classical mechanics, with a focus on computational methods. In addition to providing clear and thorough coverage of key topics, this textbook includes integrated instructions and treatments of computation.This newly updated and revised second edition includes two new appendices instructing the reader in both the Python and Mathematica languages. All worked example problems in the second edition contain both Python and Mathematica code. New end-of-chapter problems explore the application of computational methods to classical mechanics problems.Full of pedagogy, it contains both analytical and computational example problems within the body of each chapter. The example problems teach readers both analytical methods and how to use computer algebra systems and computer programming to solve problems in classical mechanics. End-of-chapter problems allow students to hone their skills in problem solving with and without the use of a computer. The methods presented in this book can then be used by students when solving problems in other fields both within and outside of physics.It is an ideal textbook for undergraduate students in physics, mathematics, and engineering studying classical mechanics.Key Features:Gives readers the "big picture" of classical mechanics and the importance of computation in the solution of problems in physicsNumerous example problems using both analytical and computational methods, as well as explanations as to how and why specific techniques were usedOnline resources containing specific example codes to help students learn computational methods and write their own algorithmsA solutions manual is available via the Routledge Instructor Hub and all example codes in the book are available via the Support Material tab, and at the books GitHub page: _Mechanics_2nd_Edition This book provides an introduction to classical mechanics with a focus on computational methods by providing clear coverage of key topics and includes integrated instructions and treat and ents of computation. The second edition include two new appendices instructing the reader in both the Python and Mathematica languages. 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.