Differential Equations and Linear Algebra
MWK 320796
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This innovative textbook allows the two subjects to be developed either separately or together, illuminating the connections between two fundamental topics, and giving increased flexibility to instructors.
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Product Details
- Innovative textbook covering differential equations and linear algebra separately or together, highlighting the connections between the two topics
- Allows flexibility for instructors to use it for a semester-long course in differential equations or a one-year course in both differential equations and linear algebra
- Covers basics of differential equations, first and second order equations, graphical and numerical methods, and matrix equations
- Presents fundamentals of vector spaces, eigenvalues, eigenvectors, positive definiteness, integral transform methods, and applications to PDEs
- Correspondence between solution methods for systems of equations in discrete and continuous settings is illuminated
- Topics draw on physical sciences, engineering, and economics, reflecting the author's distinguished career as an applied mathematician
| Yayıncı | Wellesley-Cambridge Press |
| Yayınlanma Tarihi | 12 Şubat 2015 |
| Baskı | İngiltere ed. |
| Dil | İngilizce |
| Baskı Uzunluğu | 510 sayfa |
| ISBN-10 | 0980232791 |
| ISBN-13 | 978-0980232790 |
| Boyutlar | 20.32 x 3.18 x 24.13 cm |
Product Description
Differential Equations and Linear Algebra
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MWK 320796
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Features & Benefits
- Differential Equations and Linear Algebra are two central topics in the undergraduate mathematics curriculum
- Can be used as a semester-long course in differential equations, or as a one-year course in differential equations and linear algebra
- Covers basics of differential equations, matrix equations, vector spaces, eigenvalues and eigenvectors, positive definiteness, integral transform methods and PDEs
- Reflects the author's distinguished career as an applied mathematician and expositor
- The book goes on to present the fundamentals of vector spaces, followed by eigenvalues and eigenvectors, positive definiteness, integral transform methods and applications to PDEs
- Illuminates the natural correspondence between solution methods for systems of equations in discrete and continuous settings
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