01
Programs: Finding real and complex Eigen values; Finding Eigen vectors.
View Experiment →
LAB MANUAL
Computational Mathematics Lab Programs
This laboratory manual contains 5 experiments covering Eigen values and Eigenvectors, algebraic and transcendental equations, linear systems of equations, first-order ODEs and higher-order differential equations using Python / MATLAB software.
UNIT - I
Eigen Values and Eigenvectors
UNIT - II
Solution of Algebraic and Transcendental Equations
02
Bisection method, Newton Raphson Method. Programs: Root of a given equation using Bisection method; Root of a given equation using Newton Raphson Method.
View Experiment →
UNIT - III
Linear System of Equations
03
Jacobi’s iteration method and Gauss-Seidal iteration method. Programs: Solution of given system of linear equations using Jacobi’s method; Solution of given system of linear equations using Gauss-Seidal method.
View Experiment →
UNIT - IV
First-Order ODEs
04
Exact and non-exact equations, Applications: exponential growth/decay and Newton's law of cooling. Programs: Solving exact and non-exact equations; Solving exponential growth/decay and Newton's law of cooling problems.
View Experiment →
UNIT - V
Higher Order Linear Differential Equations with Constant Coefficients
05
Programs: Solving homogeneous ODEs; Solving non-homogeneous ODEs.
View Experiment →