Note: This syllabus is common for
 R18  B.TECH II Year II Sem.  ECE, EEE
MA401BS: LAPLACE TRANSFORMS, NUMERICAL METHODS AND COMPLEX VARIABLES
B.Tech. II Year II Sem. L T P C
3 1 0 4
Prerequisites: Mathematical Knowledge at preuniversity level
Course Objectives: To learn
 Concept, properties of Laplace transforms
 Solving ordinary differential equations using Laplace transforms techniques.
 Various methods to the find roots of an equation.
 Concept of finite differences and to estimate the value for the given data using interpolation.
 Evaluation of integrals using numerical techniques
 Solving ordinary differential equations using numerical techniques.
 Differentiation and integration of complex valued functions.
 Evaluation of integrals using Cauchy’s integral formula and Cauchy’s residue theorem.
 Expansion of complex functions using Taylor’s and Laurent’s series.
Course outcomes: After learning the contents of this paper the student must be able to
 Use the Laplace transforms techniques for solving ODE’s
 Find the root of a given equation.
 Estimate the value for the given data using interpolation
 Find the numerical solutions for a given ODE’s
 Analyze the complex function with reference to their analyticity, integration using Cauchy’s integral and residue theorems.
 Taylor’s and Laurent’s series expansions of complex Function
UNIT  I
Laplace Transforms 10 L
Laplace Transforms; Laplace Transform of standard functions; first shifting theorem; Laplace transforms of functions when they are multiplied and divided by‘t’. Laplace transforms of derivatives and integrals of function; Evaluation of integrals by Laplace transforms; Laplace transforms of Special functions; Laplace transform of periodic functions.
Inverse Laplace transform by different methods, convolution theorem (without Proof), solving ODEs by Laplace Transform method.
UNIT  II
Numerical Methods – I 10 L
Solution of polynomial and transcendental equations – Bisection method, Iteration Method, Newton Raphson method and RegulaFalsi method.
Finite differences forward differences backward differencescentral differencessymbolic relations and separation of symbols; Interpolation using Newton’s forward and backward difference formulae. Central difference interpolation: Gauss’s forward and backward formulae; Lagrange’s method of interpolation
UNIT  III
Numerical Methods – II 08 L
Numerical integration: Trapezoidal rule and Simpson’s 1/3rd and 3/8 rules. Ordinary differential equations: Taylor’s series; Picard’s method; Euler and modified Euler’s methods; RungeKutta method of fourth order.
UNIT  IV
Complex Variables (Differentiation) 10 L
Limit, Continuity and Differentiation of Complex functions. CauchyRiemann equations (without proof), Milne Thomson methods, analytic functions, harmonic functions, finding harmonic conjugate; elementary analytic functions (exponential, trigonometric, logarithm) and their properties.
UNIT  V
Complex Variables (Integration) 10 L
Line integrals, Cauchy’s theorem, Cauchy’s Integral formula, Liouville’s theorem, MaximumModulus theorem (All theorems without proof); zeros of analytic functions, singularities, Taylor’s series, Laurent’s series; Residues, Cauchy Residue theorem (without proof)
TEXT BOOKS:
 B.S. Grewal, Higher Engineering Mathematics, Khanna Publishers, 36th Edition, 2010.
 S.S. Sastry, Introductory methods of numerical analysis, PHI, 4th Edition, 2005.
 J. W. Brown and R. V. Churchill, Complex Variables and Applications, 7th Ed., McGraw Hill, 2004.
REFERENCE BOOKS:
 M. K. Jain, SRK Iyengar, R.K. Jain, Numerical methods for Scientific and Engineering Computations , New Age International publishers.
 Erwin kreyszig, Advanced Engineering Mathematics, 9th Edition, John Wiley & Sons,2006.

CreatedDec 11, 2020

UpdatedDec 13, 2020

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