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Curve Fitting

Curve fitness characteristics can be checked by calculating the errors at each data points and evaluating. Ideally error should be equal to zero. 1. How to make a curve fit perfectly? A: A perfect fit is achieved when there is no error between original data points and data points obtained using curve fit.  2.…

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Read more Projects by Sathyaprasad Heramba (4)

Parsing NASA thermodynamic data

Objective:

Parsing of NASA Thermodynamic data: Parsing in MATLAB is to read a text data and convert them into workable inputs. INPUTS: Below is the polynomial equations given by NASA containing the variables Cp, H & S,  Also provided the text file containing coefficients, FIRST seven are high temperature coefficients and…

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26 Oct 2020 02:36 PM IST

  • MATLAB
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Global Maxima of Stalagmite function using Genetic Algorithm

Objective:

Genetic Algorithm: Genetic Algorithm (GA) is a search-based optimization technique based on the principles of Genetics and Natural Selection. It is inspired by Charles Darwin's theory of natural evolution. It is frequently used to find optimal or near-optimal solutions to difficult problems which otherwise would take…

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11 Oct 2020 09:15 PM IST

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Simple Pendulum - Solving second order ODEs

Objective:

Simulation of Simple pendulum by solving 2nd order differential equation: A simple pendulum consists of a bob and arm fixed to a pivot point. Due to surrounding air acting as a damper, the below equation represents the motion of the pendulum. where, b=damping coefficient(Ns/m)            m=mass…

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11 Oct 2020 09:01 PM IST

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Curve Fitting

Objective:

Curve fitness characteristics can be checked by calculating the errors at each data points and evaluating. Ideally error should be equal to zero. 1. How to make a curve fit perfectly? A: A perfect fit is achieved when there is no error between original data points and data points obtained using curve fit.  2.…

calendar

11 Oct 2020 08:58 PM IST

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Showing 1 of 4 projects