Bird's Higher Engineering Mathematics (eBook, PDF)
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Bird's Higher Engineering Mathematics (eBook, PDF)
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Higher Engineering Mathematics has helped thousands of students to succeed in their exams by developing problem-solving skills, It is supported by over 600 practical engineering examples and applications which relate theory to practice. The extensive and thorough topic coverage makes this a solid text for undergraduate and upper-level vocational courses. Its companion website provides resources for both students and lecturers, including lists of essential formulae, ands full solutions to all 2,000 further questions contained in the 277 practice exercises; and illustrations and answers to revision tests for adopting course instructors.…mehr
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- Produktdetails
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 934
- Erscheinungstermin: 25. März 2021
- Englisch
- ISBN-13: 9781000353037
- Artikelnr.: 61113876
- Verlag: Taylor & Francis eBooks
- Seitenzahl: 934
- Erscheinungstermin: 25. März 2021
- Englisch
- ISBN-13: 9781000353037
- Artikelnr.: 61113876
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
/2 substitution 42 Integration by parts 43 Reduction formulae 44 Double and triple integrals 45 Numerical integration Section I Differential equations 46 Introduction to differential equations 47 Homogeneous first-order differential equations 48 Linear first-order differential equations 49 Numerical methods for first-order differential equations 50 Second-order differential equations (1) 51 Second-order differential equations (2) 52 Power series methods of solving ordinary differential equations 53 An introduction to partial differential equations Section J Laplace transforms 54 Introduction to Laplace transforms 55 Properties of Laplace transforms 56 Inverse Laplace transforms 57 The Laplace transform of the Heaviside function 58 The solution of differential equations using Laplace transforms 59 The solution of simultaneous differential equations using Laplace transforms Section K Fourier series 60 Fourier series for periodic functions of period 2
61 Fourier series for a non-periodic function over period 2
62 Even and odd functions and half-range Fourier series 63 Fourier series over any range 64 A numerical method of harmonic analysis 65 The complex or exponential form of a Fourier series Section L Z-transforms 66 An introduction to z-transforms Section M Statistics and probability 67 Presentation of statistical data 68 Mean, median, mode and standard deviation 69 Probability 70 The binomial and Poisson distributions 71 The normal distribution 72 Linear correlation 73 Linear regression 74 Sampling and estimation theories 75 Significance testing 76 Chi-square and distribution-free tests Essential formulae Answers to Practice Exercises
/2 substitution 42 Integration by parts 43 Reduction formulae 44 Double and triple integrals 45 Numerical integration Section I Differential equations 46 Introduction to differential equations 47 Homogeneous first-order differential equations 48 Linear first-order differential equations 49 Numerical methods for first-order differential equations 50 Second-order differential equations (1) 51 Second-order differential equations (2) 52 Power series methods of solving ordinary differential equations 53 An introduction to partial differential equations Section J Laplace transforms 54 Introduction to Laplace transforms 55 Properties of Laplace transforms 56 Inverse Laplace transforms 57 The Laplace transform of the Heaviside function 58 The solution of differential equations using Laplace transforms 59 The solution of simultaneous differential equations using Laplace transforms Section K Fourier series 60 Fourier series for periodic functions of period 2
61 Fourier series for a non-periodic function over period 2
62 Even and odd functions and half-range Fourier series 63 Fourier series over any range 64 A numerical method of harmonic analysis 65 The complex or exponential form of a Fourier series Section L Z-transforms 66 An introduction to z-transforms Section M Statistics and probability 67 Presentation of statistical data 68 Mean, median, mode and standard deviation 69 Probability 70 The binomial and Poisson distributions 71 The normal distribution 72 Linear correlation 73 Linear regression 74 Sampling and estimation theories 75 Significance testing 76 Chi-square and distribution-free tests Essential formulae Answers to Practice Exercises