Solving a Linear System Equations: AX = B through Jacobi. Gauss-Seidel and SOR Methods Objectives of the Project: 1) Determining Eigenvalues, Spectral Radius of an iteration matrix 2) Solve the X Matrix through three solving methods 3) Establishing the relationship between the Spectral radius and convergence of the solver.…
Rathish Gupta
updated on 08 Feb 2020
Project Details
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Read more Projects by Rathish Gupta (8)
Solving Quasi 1D Nozzle Flows through Conservative and Non-Conservative forms Macormack Method
Objective: Solving Quasi 1D Nozzle Flows through Conservative and Non-Conservative Methods. I\'ll also be focussing on the importance of grid number in the convergence also the computation time. (Theory - John D Anderson COMPUTATIONAL FLUID DYNAMICS) Physical Aspects and the Assumptions of the flow: We consider the steady,…
22 Feb 2020 08:27 AM IST
Understanding Linear Systems
Solving a Linear System Equations: AX = B through Jacobi. Gauss-Seidel and SOR Methods Objectives of the Project: 1) Determining Eigenvalues, Spectral Radius of an iteration matrix 2) Solve the X Matrix through three solving methods 3) Establishing the relationship between the Spectral radius and convergence of the solver.…
08 Feb 2020 07:59 AM IST
Solving the ODE using ode functions and animating the motions as per this ode
To write a program that could solve the second-order ode through 'ode' function. The equation which needs to be solved is `(d^2theta)/(dt^2) + (b/m)(d(theta))/dt +(g/l)sintheta = 0` where theta is angular displacement b = dampingm = massg = gravityl = lengthIt is given that, initial angular velocity is = 3…
05 Feb 2020 06:54 AM IST
Solving 2D Heat Conduction Equation in both steady and transient case using iterative solvers
Thie task is to solve 2D Heat Conduction equation `(del T)/(del t) = ((del^2T)/(del x^2) +(del^2T)/(del x^2))*K` where K is the thermal diffusivity Assumptions in the equation: Internal heat generation is zero which implies a change of heat flow from one to another side is converted into internal energy. Abstract:…
10 Jan 2020 04:15 AM IST
Linear Convection Solving and grid size effect on it
Background: The wider perspective is to solve the 1-dimensional linear convection equation. This comes from the two-dimensional momentum equation assuming the same shape to make it a simpler PDE. `(∂u)/(∂t)+c(∂u)/(∂x)=0` Aim: Our objective is to solve the PDE through MatLab code and compare the…
08 Oct 2019 03:15 AM IST
Program that compares the first, second and fourth order approximations of the first derivative against the analytical or exact derivative.
The Project aims to show two things 1) error of first order, second order and fourth order with analytical derivative 2) comparison in between different order approximations 1-Step: Initially, the code started with inputting variables x and dx while x value has been mentioned in the question as pi/3. While…
03 Oct 2019 04:12 AM IST
Comparison of the first, second and fourth-order error approximations for first-order differential equation
Title: Comparison of the first, second and fourth-order error approximations for first-order differential equation Initially, the problem solving started with giving input variables. There are two variables x and dx while I assumed `x=pi/3` (a constant value). 'dx' is a variable in this comparison project. So, I have…
03 Oct 2019 04:06 AM IST
Deriving the fourth-order approximation for second-order derivative through the central skewed right and skewed left differencing schemes Subsequently evaluating their errors
Title: Deriving the fourth-order approximation for second-order derivative through the central, skewed right and skewed left differencing schemes. Subsequently evaluating their errors Function: `exp(x)*cos(x)` Firstly, Central differencing derivation through Taylor table Here You get 5 equations and we have 5…
03 Oct 2019 03:54 AM IST