Engineering Mathematics with Examples and Applications
Autor Xin She Yangen Limba Engleză Hardback – 4 ian 2017
The book can also be used by graduates to review and refresh their mathematical skills. Step-by-step worked examples will help the students gain more insights and build sufficient confidence in engineering mathematics and problem-solving. The main approach and style of this book is informal, theorem-free, and practical. By using an informal and theorem-free approach, all fundamental mathematics topics required for engineering are covered, and readers can gain such basic knowledge of all important topics without worrying about rigorous (often boring) proofs.
Certain rigorous proof and derivatives are presented in an informal way by direct, straightforward mathematical operations and calculations, giving students the same level of fundamental knowledge without any tedious steps. In addition, this practical approach provides over 100 worked examples so that students can see how each step of mathematical problems can be derived without any gap or jump in steps. Thus, readers can build their understanding and mathematical confidence gradually and in a step-by-step manner.
- Covers fundamental engineering topics that are presented at the right level, without worry of rigorous proofs
- Includes step-by-step worked examples (of which 100+ feature in the work)
- Provides an emphasis on numerical methods, such as root-finding algorithms, numerical integration, and numerical methods of differential equations
- Balances theory and practice to aid in practical problem-solving in various contexts and applications
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Specificații
ISBN-13: 9780128097304
ISBN-10: 0128097302
Pagini: 400
Dimensiuni: 216 x 276 x 25 mm
Greutate: 0.92 kg
Editura: ELSEVIER SCIENCE
ISBN-10: 0128097302
Pagini: 400
Dimensiuni: 216 x 276 x 25 mm
Greutate: 0.92 kg
Editura: ELSEVIER SCIENCE
Public țintă
Undergraduates and graduates in all engineering disciplines (mech eng, electrical engineering, civil engineering, geotechnical, water and transport engineering), but also related applied sciences, computer science and management sciences researchers who require an understanding of key mathematical modeling techniques but are not themselves mathematicians.Cuprins
1. Fundamentals
2. Complex Roots
3. Vectors and Matrices
4. Calculus
5. Fourier and Laplace Transforms
6. Statistics and Curve Fitting
7. Numerical Methods
8. Optimization
9. Advanced Topics
10. Mathematical Modeling with Case Studies
2. Complex Roots
3. Vectors and Matrices
4. Calculus
5. Fourier and Laplace Transforms
6. Statistics and Curve Fitting
7. Numerical Methods
8. Optimization
9. Advanced Topics
10. Mathematical Modeling with Case Studies