B.E Jadavpur University Chemical Engineering - Numerical Methods (2nd Year First Semester) -2019 model question papers

Posted Date: 10 Feb 2020      Posted By:: Shouvik Maj    Member Level: Silver  Points: 3 (₹ 3)

# 2019 B.E Chemical Engineering B.E Jadavpur University Chemical Engineering - Numerical Methods (2nd Year First Semester) -2019 Question paper

 Course: B.E Chemical Engineering University/board: Jadavpur University

Are you looking for the old question papers of Jadavpur University Chemical Engineering - Numerical Methods ? Here is the previous year question paper from Jadavpur University. This is the original question paper from the Chemical Engineering Department for second year first semester exam conducted by Jadavpur University in year 2019. Feel free to download the question paper from here and use it to prepare for your upcoming exams.

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Exam Name- B.E Chemical Engineering Exam
2nd Year- 1st Semester

Subject- Numerical Methods

Total Time- Three Hours
Maximum Marks- 100

Syllabus

Linear Algebraic Equations: Solution of simultaneous linear algebraic equations, Gaussian
elimination, Thomas algorithm, Determination of inverse of a matrix: Gauss-Jordan method;
Iterative solution of a set of simultaneous linear algebraic equations: Jacobi method, GaussSeidel method, Relaxation method.
Nonlinear algebraic equations: Single nonlinear equation: Bisection method, Successive
substitution, Secant (Regula falsii) method, Newton-Raphson method, Determination of roots of
a polynomial, Solution of simultaneous nonlinear algebraic equations: Successive substitution,
Newton-Raphson method.
Regression: Method of Least Squares, Linear and Nonlinear Least Squares.
Interpolation/Extrapolation: Newton's Divided Difference Formulae, Lagrange Interpolation;
Equispaced base-point methods - Newton's Forward Difference and Backward Difference
Formula. Numerical Differentiation - based on interpolation formulae. Numerical Integration -
Newton-Cotes formulae, Trapeziodal Rule, Simpson's Rule, Composite formulae
Ordinary Differential Equations - Initial Value Problem (IVP): Explicit methods: Adam-Bashforth
techniques; Implicit methods: Adams-Moulton techniques; Predictor-Corrector Formulae;
Runge-Kutta and Runge-Kutta-Gill methods.
Ordinary Differential Equations - Boundary Value Problem (BVP): Shooting Method, Finite
Difference Methods
Partial Differential Equations: Elliptic, Hyperbolic and Parabolic PDEs; Nonlinear PDEs, Laplace's
equation
Application of Finite Difference method for solution of Parabolic and Elliptic partial differential
equations

Attachments:

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