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Engineering mathematics / A.C. Bajpai, L.R. Mustoe, D. Walker ; in collaboration with W.T. Martin.

By: Contributor(s): Publication details: Chichester ; New York : Wiley, c1989.Edition: 2nd editionDescription: xiii, 714 p. : ill. ; 23 cmISBN:
  • 0471922838 :
Subject(s): DDC classification:
  • 510 22 BAJ.
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Item type Current library Call number Copy number Status Date due Barcode Course reserves
Book Closed Access Book Closed Access Engineering Library 510 BAJ (Browse shelf(Opens below)) 1 Available BUML23070653

Engineering Mathematics I SEMESTER I


CONTENTS:

Chapter 0 open letters

Chapter 1 Why mathematics
1.1 mathematical models
1.2 solutions to mathematical models
1.3 algorithms and flow charts, etc

Chapter 2 FUNCTIONS AND SETS
2.1 number systems and inequalities
2.2 relations and functions
2.3 standard functions, etc

Chapter3 ELEMENTARY IDEAS ON LIMITS
3.1 sequences and limits
3.2 functions of a discrete variable-induction, etc

Chapter 4 INTRODUCTION TO STATISTICAL METHODS
4.1 sets and Venn diagrams
4.2 graphical representations, etc

Chapter 5 SETS AND PROBABILITY
5.1 sets and Venn diagrams
5.2 probability and chance, etc

Chapter 6 DISCRETE MATHEMATICS
6.1 prepositions and propositional logic
6.2 arguments and proof, logical implications, etc

Chapter 7 GEOMENTRY AND CURVES
7.1 coordinate geometry and the plane
7.2 inequalities involving two variables, etc

Chapter 8 LINEAR ALGEBRA 1- VECTORS
8.1 elementary vector algebra
8.2 vectors in Cartesian coordinates, etc

Chapter 9 LINEAR ALGEBRA II
9.1 INTRODUCTION
9.2 Gauss elimination, etc

Chapter 10 LINEAR ALGEBRA III
10.1 MATRIX ALGEBRA
10.2 matrix notation for simultaneous equations, etc

Chapter 11 COMPLEX NUMBERS
11.1 The idea of complex numbers
11.2 complex arithmetic, etc

Chapter 12 DIFFERENCIATION
12.1 Techniques of differentiation
12.2 maximum and mi minimum values of functions, etc

Chapter 13 NON-LINEAR EQUATIONS
13.1 Location of roots
13.2 Interval reduction methods, etc

Chapter 14 PARTIAL DIFFERENCIATION
14.1 Functions of two valuables
14.2 Techniques of partial differentiation, etc

Chapter 15 APPROXIMATION OF EXPERIMENTAL DATA
15.1 Least squares straight line fitting
15.2 fitting other curves, etc

Chapter 16 APPROXIMATION OF FUNCTIONS
16.1 The mean value theorem
16.2 Polynomial approximations, etc

Chapter 17 TECHNIQUES OF INTEGRATION
17.1 Newton-Cotes formulae
17.2 Errors in newton-cotes formulae, etc

chapter 18 APPLICATIONS OF DEFINIT INTEGRATION
18.1 Plane areas and volumes of revolution
18.2 Length of arc of a plane curve, etc

Chapter 19 DESCRETE PROBABILITY MODELS
19.1 Probability distributions
19.2 mathematical expressions, etc

Chapter 20 THE NORMAL DISTRIBUTION AND SIGNIFICANCY TESTS
20.1 Continuous probability distribution
20.2 The normal distribution, etc

Chapter 21 ORDINARY DIFFERENCIAL EQUATIONS-GENERAL IDEAS
21.1 Case study- newton's law of cooling
21.2 classification and general features, etc

Chapter 22 FIRST ORDER DIFFERENCIAL EQUATIONS
22.1 Variable separable
22.2 Integrating factor method, etc

Chapter 23 SECOND AND HIGHER ORDER DIFFERRENCIAL EQUATIONS
23.1 Case study
23.2 Free oscillations: Analytical Approach, etc

Chapter 24 LAPLACE TRANSFORMS
24. 1 The Laplace transform
24.2 Further transforms, etc

Chapter 25 EPILOGUE

Index : p. 706-714

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