Advanced Engineering Mathematics

Advanced Engineering Mathematics

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Product Specifications

Publisher SChand Publications All Mathematics books by SChand Publications
ISBN 9788121903455
Author: H K Dass
Number of Pages 1332
Available
Available in all digital devices
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Advanced Engineering Mathematics - Page 1 Advanced Engineering Mathematics - Page 2 Advanced Engineering Mathematics - Page 3 Advanced Engineering Mathematics - Page 4 Advanced Engineering Mathematics - Page 5

Advanced Engineering Mathematics by H K Dass

Book Summary:

The book ‘This book has been written according to the new revised syllabus of Mathematics of I.E.T.E. and includes topics from the syllabi of the other engineering courses.This book should satisfy both average and brilliant students. It would help the students to get through their examination and at the same time would arouse greater intellectual curiosity in them.


Audience of the Book :

[For the Students of M.E., B.E. and other Engineering Examinations

The main features of the book are as follows:

1. More than 550 solved examples on various topics have been incorporated in the textbook for the better understanding of the students

2. Most of the examples have been taken from previous question papers of I.E.T.E. which should make the students familiar with the standard and trend of questions set in the examinations

3. Care has been taken to systematically grade these examples

1. Partial Differentiation

2. Multiple Integral

3.Differential Equations

4.Determinants and Matrices

5.Vectors

6.Complex Numbers

7.Functions of a Complex Variable

8.Special Functions

9.Partial Differential Equations

10.Statistics

11.Probability

12. Fourier Series

13.Laplace Transformation

14.Integral Transforms

15. Numerical Techniques

16. Numerical Method for Solution of Partial Differential Equation

17.Calculus of Variations

18.Tensor Analysis

19. Z-transforms

20.Infinite Series

21. Gamma, Beta Functions

22.Chebyshev Polynomials

23.Fuzzy Sets

24. Hankel Transform

25.Hilbert Transform

26.Empirical Laws and Curve Fitting (Method of Least Squares)

27. Linear Programming