Published by Cambridge University Press, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Published by Cambridge University Press 2/8/2024, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Paperback or Softback. Condition: New. A First Guide to Computational Modelling in Physics 0.48. Book.
Published by Cambridge University Press, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Published by Cambridge University Press, Cambridge, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Paperback. Condition: new. Paperback. This innovative text helps demystify numerical modelling for early-stage physics and engineering students. It takes a hands-on, project-based approach, with each chapter focusing on an intriguing physics problem taken from classical mechanics, electrodynamics, thermodynamics, astrophysics, and quantum mechanics. To solve these problems, students must apply different numerical methods for themselves, building up their knowledge and practical skills organically. Each project includes a discussion of the fundamentals, the mathematical formulation of the problem, an introduction to the numerical methods and algorithms, and exercises, with solutions available to instructors. The methods presented focus primarily on differential equations, both ordinary and partial, as well as basic mathematical operations. Developed over many years of teaching a computational modelling course, this stand-alone book equips students with an essential numerical modelling toolkit for today's data-driven landscape, and gives them new ways to explore science and engineering. This hands-on text demystifies numerical modelling for early-stage physics and engineering students, with each chapter focusing on an intriguing physics problem. Developed over many years of teaching a computational modelling course, this stand-alone book gives students an essential numerical modelling toolkit for today's data-driven landscape. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Published by Cambridge University Press, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Published by Cambridge University Press Feb 2024, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware - 'This hands-on text demystifies numerical modelling for early-stage physics and engineering students, with each chapter focusing on an intriguing physics problem. Developed over many years of teaching a computational modelling course, this stand-alone book gives students an essential numerical modelling toolkit for today's data-driven landscape'--.
Published by Cambridge University Press, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
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Published by Cambridge University Press, Cambridge, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Add to basketPaperback. Condition: new. Paperback. This innovative text helps demystify numerical modelling for early-stage physics and engineering students. It takes a hands-on, project-based approach, with each chapter focusing on an intriguing physics problem taken from classical mechanics, electrodynamics, thermodynamics, astrophysics, and quantum mechanics. To solve these problems, students must apply different numerical methods for themselves, building up their knowledge and practical skills organically. Each project includes a discussion of the fundamentals, the mathematical formulation of the problem, an introduction to the numerical methods and algorithms, and exercises, with solutions available to instructors. The methods presented focus primarily on differential equations, both ordinary and partial, as well as basic mathematical operations. Developed over many years of teaching a computational modelling course, this stand-alone book equips students with an essential numerical modelling toolkit for today's data-driven landscape, and gives them new ways to explore science and engineering. This hands-on text demystifies numerical modelling for early-stage physics and engineering students, with each chapter focusing on an intriguing physics problem. Developed over many years of teaching a computational modelling course, this stand-alone book gives students an essential numerical modelling toolkit for today's data-driven landscape. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
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Published by Cambridge University Press, Cambridge, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Add to basketPaperback. Condition: new. Paperback. This innovative text helps demystify numerical modelling for early-stage physics and engineering students. It takes a hands-on, project-based approach, with each chapter focusing on an intriguing physics problem taken from classical mechanics, electrodynamics, thermodynamics, astrophysics, and quantum mechanics. To solve these problems, students must apply different numerical methods for themselves, building up their knowledge and practical skills organically. Each project includes a discussion of the fundamentals, the mathematical formulation of the problem, an introduction to the numerical methods and algorithms, and exercises, with solutions available to instructors. The methods presented focus primarily on differential equations, both ordinary and partial, as well as basic mathematical operations. Developed over many years of teaching a computational modelling course, this stand-alone book equips students with an essential numerical modelling toolkit for today's data-driven landscape, and gives them new ways to explore science and engineering. This hands-on text demystifies numerical modelling for early-stage physics and engineering students, with each chapter focusing on an intriguing physics problem. Developed over many years of teaching a computational modelling course, this stand-alone book gives students an essential numerical modelling toolkit for today's data-driven landscape. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New.
Published by Cambridge University Press, Cambridge, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
Seller: Grand Eagle Retail, Fairfield, OH, U.S.A.
Hardcover. Condition: new. Hardcover. This innovative text helps demystify numerical modelling for early-stage physics and engineering students. It takes a hands-on, project-based approach, with each chapter focusing on an intriguing physics problem taken from classical mechanics, electrodynamics, thermodynamics, astrophysics, and quantum mechanics. To solve these problems, students must apply different numerical methods for themselves, building up their knowledge and practical skills organically. Each project includes a discussion of the fundamentals, the mathematical formulation of the problem, an introduction to the numerical methods and algorithms, and exercises, with solutions available to instructors. The methods presented focus primarily on differential equations, both ordinary and partial, as well as basic mathematical operations. Developed over many years of teaching a computational modelling course, this stand-alone book equips students with an essential numerical modelling toolkit for today's data-driven landscape, and gives them new ways to explore science and engineering. This hands-on text demystifies numerical modelling for early-stage physics and engineering students, with each chapter focusing on an intriguing physics problem. Developed over many years of teaching a computational modelling course, this stand-alone book gives students an essential numerical modelling toolkit for today's data-driven landscape. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Published by Cambridge University Press, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
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Published by Cambridge University Press, Cambridge, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This innovative text helps demystify numerical modelling for early-stage physics and engineering students. It takes a hands-on, project-based approach, with each chapter focusing on an intriguing physics problem taken from classical mechanics, electrodynamics, thermodynamics, astrophysics, and quantum mechanics. To solve these problems, students must apply different numerical methods for themselves, building up their knowledge and practical skills organically. Each project includes a discussion of the fundamentals, the mathematical formulation of the problem, an introduction to the numerical methods and algorithms, and exercises, with solutions available to instructors. The methods presented focus primarily on differential equations, both ordinary and partial, as well as basic mathematical operations. Developed over many years of teaching a computational modelling course, this stand-alone book equips students with an essential numerical modelling toolkit for today's data-driven landscape, and gives them new ways to explore science and engineering. This hands-on text demystifies numerical modelling for early-stage physics and engineering students, with each chapter focusing on an intriguing physics problem. Developed over many years of teaching a computational modelling course, this stand-alone book gives students an essential numerical modelling toolkit for today's data-driven landscape. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Published by Cambridge University Press Feb 2024, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
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Add to basketBuch. Condition: Neu. Neuware - 'This hands-on text demystifies numerical modelling for early-stage physics and engineering students, with each chapter focusing on an intriguing physics problem. Developed over many years of teaching a computational modelling course, this stand-alone book gives students an essential numerical modelling toolkit for today's data-driven landscape'--.
Published by Cambridge University Press, Cambridge, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
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Add to basketHardcover. Condition: new. Hardcover. This innovative text helps demystify numerical modelling for early-stage physics and engineering students. It takes a hands-on, project-based approach, with each chapter focusing on an intriguing physics problem taken from classical mechanics, electrodynamics, thermodynamics, astrophysics, and quantum mechanics. To solve these problems, students must apply different numerical methods for themselves, building up their knowledge and practical skills organically. Each project includes a discussion of the fundamentals, the mathematical formulation of the problem, an introduction to the numerical methods and algorithms, and exercises, with solutions available to instructors. The methods presented focus primarily on differential equations, both ordinary and partial, as well as basic mathematical operations. Developed over many years of teaching a computational modelling course, this stand-alone book equips students with an essential numerical modelling toolkit for today's data-driven landscape, and gives them new ways to explore science and engineering. This hands-on text demystifies numerical modelling for early-stage physics and engineering students, with each chapter focusing on an intriguing physics problem. Developed over many years of teaching a computational modelling course, this stand-alone book gives students an essential numerical modelling toolkit for today's data-driven landscape. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Published by Cambridge University Press, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
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Published by Cambridge University Press, 2024
ISBN 10: 1009413104 ISBN 13: 9781009413107
Language: English
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Add to basketHardcover. Condition: Brand New. 200 pages. 9.61x6.69x0.38 inches. In Stock. This item is printed on demand.
Published by Cambridge University Press, 2024
ISBN 10: 1009413120 ISBN 13: 9781009413121
Language: English
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