1.pcov is a 2d array with the estimated covariance of the parameters in popt. It canbe used to calculate the the standard deviation errors of popt. 2.popt gives the output of the coefficients that are obtained after calculation by the function curve_fit. 3.*popt refers to the values of coefficeints…
Devdhar Vaishreekandath
updated on 30 Dec 2018
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Read more Projects by Devdhar Vaishreekandath (9)
Frequency Analysis of a rotating shaft
OBJECTIVE: To conduct a frequency analysis on a rotating shaft, apply a bearing fixture on the stepped face of the rod at the two ends and find out the critical frequencies. INTRODUCTION-Resonance frequency of a system is the natural frequency of vibration / cyclic motion of a system or structure. Resonance is the…
14 Aug 2019 11:43 PM IST
Newton raphson method
OBJECTIVE- To determinethe minimum cushion pressure needed to break a given thickness of iceusing an air cushion vehicle, Muller (“Ice Breaking with an Air Cushion Vehicle”) inMathematical Modeling: Classroom Notes in Applied Mathematics, SIAM 1987) derivedthe equation where p denotes the cushion pressure,…
08 Jan 2019 11:01 AM IST
curvefit in python
1.pcov is a 2d array with the estimated covariance of the parameters in popt. It canbe used to calculate the the standard deviation errors of popt. 2.popt gives the output of the coefficients that are obtained after calculation by the function curve_fit. 3.*popt refers to the values of coefficeints…
30 Dec 2018 10:57 PM IST
otto cycle
import math import matplotlib.pyplot as plt def engine_kinematics(bore,stroke,cond_rod,cr,start_crank,end_crank): sc=math.radians(start_crank) ec=math.radians(end_crank) num_values=50 dtheta=(ec-sc)/(num_values-1) V=[] for i in range(0,num_values): theta= sc+i*dtheta term1= 0.5*(cr-1); term2= R+1- math.cos(theta); term3=…
30 Dec 2018 12:05 AM IST
Forward kinematics of a 2R Robotic Arm
Comments from grader You haven\'t attached the results %robotic_file2 clear all close all clc % INPUTS l1=.5; l2=.5; thita1= linspace(0,90,10); thita2= linspace(0,90,10); ct=1; for i=1:length(thita1); THITA1=thita1(i); for j=1:length(thita2); THITA2=thita2(j); x0=0; y0=0; %COORDINATES x1= l1*cosd(THITA1);…
16 Sep 2018 07:39 AM IST
curvefit in octave
1.As we know Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points,the below results which i obtained where not upto the mark as it is clear that there is a bit slight deviation from the original dataset and the upper code gives a warning that the…
25 Jul 2018 12:11 AM IST
curvefit in octave
1.As we know Curve fitting is the process of constructing a curve, or mathematical function, that has the best fit to a series of data points,the below results which i obtained where not upto the mark as it is clear that there is a bit slight deviation from the original dataset and the upper code gives a warning that the…
21 Jul 2018 12:04 AM IST
A row and column vector in Matlab
In linear algebra, a column vector or column matrix is an m × 1 matrix, that is, a matrix consisting of a single column of m elements, Similarly, a row vector or rowmatrix is a 1 × m matrix, that is, a matrix consisting of a single row…
21 Jul 2018 12:03 AM IST
Drag force against a cyclist
% Drag force on a bicycleclose allclear allclc % Input % Density in kg/m^3Rho = 1.2 % Area m^2A = 0.1 % Velocity in m/s^2V = [1:80]; % Drag cofficientc=linspace(0,2.1,80); Dragforce = 0.5*Rho*A*V.^2.*c; figure(1)plot(Dragforce,V); xlabel(\'drag force\')ylabel(\'Velocity\')grid on figure(2)plot(Dragforce, c);xlabel(\'drag…
21 Jul 2018 12:03 AM IST