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Digital time signal processing using in Matlab Digital time signal processing can be defined as the process of examining and modifying a signal to improve its performance and efficiency. It is a branch of electrical and computer science engineering that involves applying a wide range of computation...
Implementation of finite element analysis of truss in MatlabFinite element analysis of the truss can be defined as the process of performing a simulation of the behavior of an assembly under certain conditions. It is commonly used in engineering to simulate physical phenomena in order to reduce the ...
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Bachelor of Engineering, Mechanical Engineering, Queen’s University, Canada
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My name is Humphrey, a passionate mechatronics engineer and a full-time academic assistant at Matlab Assignment Experts. I have vast knowledge and background in Matlab Simulink and mechanical engineering, which makes me the perfect fit for a wide range of projects involving machine design, robotics, mechanical design, product design and development, prototyping, 3D printing, and electrical/electronics design. This is my ninth year working as an academic assistant and due to my passion and commitment, I always produce the best possible deliverables that give you real success in academia.
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Solving Systems Equations
Published : 25-08-2019
The assignment necessitates the use of Matlab in writing a script that solves a given system using the Gauss Seidel method, Successive Over Relaxation (SOR) method, and Jacobi method. You should then solve a system of linear equations to find the unknown values in vector v using the Gauss Seidel method, Successive Over Relaxation (SOR) method, and Jacobi method.
In this project, we will get the chance to implement some numerical techniques for computing the response of a single degree of freedom (SDOF) and the two degrees of freedom (2DOF) systems. There are many integration methods such as the Runge-Kutta method, the Simpson method, and the Gauss quadrature. In order to solve the SDOF and 2DOF, we call the builtin ode45 MATLAB function, which uses the Runge-Kutta method.
III. ConclusionComparing the obtained numerical results, in the first case of SDOF all the numerical results are the same in the three cases for v=40, 90, and 140 km/hr. In the case of 2DOF, there a small difference between the solutionand the other one , but it is no remarkable.
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