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Advanced Engineering Mathematics

Advanced Engineering Mathematics

Author : H K Dass

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  • ISBN : 9789352533831
  • Pages : 1440
  • Binding : Paperback
  • Language : English
  • Imprint : S. Chand Publishing
  • © year : 2018
  • Size : 6.75 X 9.5

Price : 899.00 719.20

"Advanced Engineering Mathematics" is written for the students of all engineering disciplines. Topics such as Partial Differentiation, Differential Equations, Complex Numbers, Statistics, Probability, Fuzzy Sets and Linear Programming which are an important part of all major universities have been well-explained. Filled with examples and in-text exercises, the book successfully helps the student to practice and retain the understanding of otherwise difficult concepts.

• Two New Chapters -Transformation and Taylor's and Laurent's Series have been included
• Every topic relating to the subject has been provided with ample coverage.
• Close to 1400 solved examples (including previous year questions of different universities) on various topics have been incorporated for the better understanding and to make familiar with the standard and trend of questions set in the examinations.
• More than 260 exercise sets and book-end solved question papers provide apt practice of all concepts explained.
• Useful formulae and 10 years question papers have been provided on S Chand Publishing website which will be helpful for students while preparing for examinations

• Partial Differentiation • Multiple Integral • Differential Equations • Determinants and Matrices • Vectors • Complex numbers • Functions of a Complex Variable • Transformation • Taylor's and Laurent's Series • Special Functions • Partial Differential Equations • Statistics • Probability • Fourier Series • Laplace Transformation • Integral Transforms • Numerical Techniques • Numerical Methods for Solution of Partial Differential Equations • Calculus of Variation • Tensor Analysis • Z-Transform • Infinite Series • Gamma, Beta Function • Chebyshev Polynomials • Fuzzy Set • Hankel Transform • Hilbert Transform • Empirical Laws and Curve Fitting (Method of Least Squares) • Linear Programming

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