Calculus for Engineering Students: Fundamentals, Real Problems, and Computers: Mathematics in Science and Engineering
Editat de Jesus Martin Vaquero, Michael Carr, Araceli Quieruga-Dios, Daniela Richtarikovaen Limba Engleză Paperback – 12 aug 2020
- Organized around project-based rather than traditional homework-based learning
- Reviews basic mathematics and theory while also introducing applications
- Employs uniform chapter sections that encourage the comparison and contrast of different areas of engineering
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Specificații
ISBN-13: 9780128172100
ISBN-10: 012817210X
Pagini: 370
Dimensiuni: 152 x 229 x 22 mm
Greutate: 0.49 kg
Editura: ELSEVIER SCIENCE
Seria Mathematics in Science and Engineering
ISBN-10: 012817210X
Pagini: 370
Dimensiuni: 152 x 229 x 22 mm
Greutate: 0.49 kg
Editura: ELSEVIER SCIENCE
Seria Mathematics in Science and Engineering
Public țintă
Upper-division undergraduates and graduate engineering students who need to learn more mathematics, especially through engineering-oriented applicationsCuprins
1. Real functions and limits (one and multiple variables)
2. Differentiation (one and multiple variables)
3. Complex numbers and functions
4. Real and complex sequences and series
5. Function series (including Taylor and Fourier series)
6. Applications of integrals (one variable)
7. Double and multiple integrals
8. Nonlinear equations (and systems of nonlinear equations)
9. Linear optimization and the simplex method
10. Nonlinear optimization
11. First-order and systems of first-order differential equations
12. Higher-order and systems of higher-order ordinary differential equations
13. Partial differential equations
14. Laplace and z transforms
2. Differentiation (one and multiple variables)
3. Complex numbers and functions
4. Real and complex sequences and series
5. Function series (including Taylor and Fourier series)
6. Applications of integrals (one variable)
7. Double and multiple integrals
8. Nonlinear equations (and systems of nonlinear equations)
9. Linear optimization and the simplex method
10. Nonlinear optimization
11. First-order and systems of first-order differential equations
12. Higher-order and systems of higher-order ordinary differential equations
13. Partial differential equations
14. Laplace and z transforms