1950.bmp 1985.bmp 2000.bmp 2005.bmp 2010.bmp 2020.bmp cumultrap.m function I = cumultrap(x,y) % I = cumultrap(x,y) % Written by: ???, ID: ??? % Last modified: ??? % Performs cumulative composite...

This is a matlab assignment,I have attached all the m files and these m files needs to be completed , all the instructions regarding how the assignment needs to be completed is been given in the ENG1060-Assignment-S2-2018.pdf file.please give me an quotation regarding this assignment


1950.bmp 1985.bmp 2000.bmp 2005.bmp 2010.bmp 2020.bmp cumultrap.m function I = cumultrap(x,y) % I = cumultrap(x,y) % Written by: ???, ID: ??? % Last modified: ??? % Performs cumulative composite trapezoidal rule % % INPUTS: % - x: independent variable % - y: dependent variable % OUTPUT: % - I: cumulative integral of y at each x value Q1a.m % Q1a % Leave any lines of MATLAB code that are already in this file % DO NOT clear, close or clc inside this script % Do not forget good programming practices % % Your name % Your student ID % Date you wrote it fprintf('\n Q1a \n\n') %% importing data %% plotting race data against time Q1c.m % Q1c % Leave any lines of MATLAB code that are already in this file % DO NOT clear, close or clc inside this script % Do not forget good programming practices % % Your name % Your student ID % Date you wrote it fprintf('\n Q1c \n\n') %% calculating the velocities and displacements %% plotting the displacements and satellite image %% calculating track length using for loop Q1d.m % Q1d % Leave any lines of MATLAB code that are already in this file % DO NOT clear, close or clc inside this script % Do not forget good programming practices % % Your name % Your student ID % Date you wrote it fprintf('\n Q1d \n\n') %% identifying the left and right-turning corners %% plotting Q1e.m % Q1e % Leave any lines of MATLAB code that are already in this file % DO NOT clear, close or clc inside this script % Do not forget good programming practices % % Your name % Your student ID % Date you wrote it fprintf('\n Q1e \n\n') %% identifying the deceleration and acceleration zones %% plotting Q2a.m % Q2a % Leave any lines of MATLAB code that are already in this file % DO NOT clear, close or clc inside this script % Do not forget good programming practices % % Your name % Your student ID % Date you wrote it fprintf('\n Q2a \n\n') %% plotting the circle and square Q2b.m % Q2b % Leave any lines of MATLAB code that are already in this file % DO NOT clear, close or clc inside this script % Do not forget good programming practices % % Your name % Your student ID % Date you wrote it fprintf('\n Q2b \n\n') %% generating randomised points and calclating pi estimate Q3a.m % Q3a % Leave any lines of MATLAB code that are already in this file % DO NOT clear, close or clc inside this script % Do not forget good programming practices % % Your name % Your student ID % Date you wrote it fprintf('\n Q3a \n\n') %% Importing images and initialise variables %% Writing data to file Q3b.m % Q3b % Leave any lines of MATLAB code that are already in this file % DO NOT clear, close or clc inside this script % Do not forget good programming practices % % Your name % Your student ID % Date you wrote it fprintf('\n Q3b \n\n') %% plotting PFA against year %% fitting non-linear models Q3c.m % Q3c % Leave any lines of MATLAB code that are already in this file % DO NOT clear, close or clc inside this script % Do not forget good programming practices % % Your name % Your student ID % Date you wrote it fprintf('\n Q3c \n\n') %% root-finding with Newton-Raphson %% justify your choice of model Q3d.m % Q3d % Leave any lines of MATLAB code that are already in this file % DO NOT clear, close or clc inside this script % Do not forget good programming practices % % Your name % Your student ID % Date you wrote it fprintf('\n Q3d \n\n') %% solving ODEs with midpoint method race_data.csv time,longitudinal_acceleration,latitudinal_acceleration,Gforce_lateral_acceleration,Gforce_acceleration_deceleration 0,-0.1236,-0.0283,0.026622,-0.03204 0.05,-0.0434,-0.151,0.019967,-0.037099 0.1,0.2342,-0.2542,0.028286,-0.03204 0.15,0.4546,0.0794,0.033278,-0.030354 0.2,0.3918,0.4544,0.023295,-0.033727 0.25,0.2056,0.4607,0.02995,-0.037099 0.3,0.0072,0.4891,0.02995,-0.040472 0.35,-0.1625,0.5443,0.026622,-0.033727 0.4,-0.1204,-2.0191,0.023295,-0.037099 0.45,-0.1585,-2.9802,0.031614,-0.03204 0.5,-0.189,1.0516,0.031614,-0.03204 0.55,0.2426,1.9191,0.024958,-0.03204 0.6,0.4362,0.3147,0.023295,-0.035413 0.65,0.2832,0.3093,0.028286,-0.037099 0.7,0.2103,0.3527,0.02995,-0.03204 0.75,0.0973,0.4641,0.033278,-0.042159 0.8,-0.0335,0.5604,0.026622,-0.03204 0.85,-0.0938,0.5064,0.024958,-0.035413 0.9,0.3415,-1.976,0.023295,-0.030354 0.95,0.3419,-3.008,0.026622,-0.038786 1,-0.4044,0.8262,0.034942,-0.033727 1.05,-0.1748,1.9012,0.026622,-0.035413 1.1,0.2938,0.4653,0.024958,-0.033727 1.15,0.2097,0.3718,0.023295,-0.033727 1.2,0.2015,0.2989,0.026622,-0.038786 1.25,0.1774,0.3089,0.031614,-0.03204 1.3,0.0701,0.4217,0.031614,-0.03204 1.35,-0.034,0.5045,0.026622,-0.035413 1.4,-2.5856,-1.7646,0.023295,-0.037099 1.45,-2.8985,-2.8322,0.024958,-0.033727 1.5,1.9373,0.552,0.026622,-0.037099 1.55,2.4475,1.5132,0.033278,-0.03204 1.6,0.2884,0.4067,0.02995,-0.03204 1.65,0.1904,0.52,0.026622,-0.035413 1.7,0.1368,0.4587,0.021631,-0.033727 1.75,0.1453,0.343,0.026622,-0.037099 1.8,0.1431,0.3293,0.028286,-0.040472 1.85,0.0644,0.4196,0.033278,-0.037099 1.9,-2.1019,-1.6914,0.026622,-0.040472 1.95,-2.5244,-2.3231,0.026622,-0.042159 2,1.1931,1.4666,0.026622,-0.067454 2.05,1.4871,2.2028,0.033278,-0.074199 2.1,-0.4015,0.6841,0.031614,-0.077572 2.15,-0.5406,0.6437,0.028286,-0.082631 2.2,-0.5313,0.6087,0.02995,-0.092749 2.25,-0.6007,0.6019,0.031614,-0.10118 2.3,-0.7383,0.5762,0.028286,-0.104553 2.35,-0.7352,0.5982,0.024958,-0.112985 2.4,2.7331,-7.8288,0.031614,-0.111298 2.45,4.0545,-9.5899,0.034942,-0.112985 2.5,-1.562,5.6556,0.02995,-0.114671 2.55,-3.149,7.3433,0.028286,-0.112985 2.6,-1.1623,0.2701,0.02995,-0.118044 2.65,-1.0961,-0.0332,0.02995,-0.112985 2.7,-1.0589,-0.169,0.02995,-0.121417 2.75,-1.0278,-0.1952,0.028286,-0.116358 2.8,-0.9767,-0.2116,0.034942,-0.109612 2.85,-0.9269,-0.3748,0.031614,-0.109612 2.9,-1.5438,9.2059,0.026622,-0.097808 2.95,-0.1457,10.7581,0.021631,-0.089376 3,2.6346,-6.843,0.019967,-0.086003 3.05,1.3992,-7.9865,0.026622,-0.070826 3.1,-0.5814,0.2345,0.021631,-0.052277 3.15,-0.474,0.1327,0.021631,-0.033727 3.2,-0.2934,0.1007,0.023295,-0.01855 3.25,-0.1849,0.0531,0.028286,-0.013491 3.3,-0.1502,0.049,0.031614,-0.025295 3.35,-0.2296,-0.0023,0.041597,-0.020236 3.4,-6.8983,6.7052,0.034942,-0.021922 3.45,-6.9712,7.5624,0.023295,-0.023609 3.5,6.1839,-5.0885,0.016639,-0.028668 3.55,6.3517,-5.7371,0.031614,-0.055649 3.6,-0.3268,0.2685,0.03827,-0.067454 3.65,-0.7601,0.154,0.034942,-0.11973 3.7,-1.0171,0.3027,0.019967,-0.148398 3.75,-0.9605,0.7819,0.028286,-0.193929 3.8,-1.1042,1.1049,0.046589,-0.241147 3.85,-1.6502,1.0809,0.048253,-0.288364 3.9,0.8995,-0.7955,0.043261,-0.323777 3.95,3.3933,-2.1116,0.034942,-0.352445 4,0.0214,0.4274,0.026622,-0.362563 4.05,-2.5922,2.1786,0.026622,-0.355818 4.1,-2.2386,1.8332,0.02995,-0.354132 4.15,-2.2553,1.728,0.024958,-0.335582 4.2,-2.1201,1.71,0.026622,-0.322091 4.25,-1.9652,1.5054,0.034942,-0.244519 4.3,-1.739,1.0356,0.021631,-0.172007 4.35,-1.3749,0.5689,0.023295,-0.107926 4.4,-9.786,11.4048,0,-0.107926 4.45,-8.4765,11.528,-0.003497,-0.141653 4.5,10.0342,-10.3655,0.018303,-0.198988 4.55,8.7179,-10.0393,0.02995,-0.232715 4.6,-1.382,1.1604,0.033278,-0.229342 4.65,-1.5384,0.9789,0.028286,-0.193929 4.7,-1.5273,0.6547,0.023295,-0.155143 4.75,-1.2806,0.5684,-0.003497,-0.151771 4.8,-0.8897,0.932,0.016639,-0.180438 4.85,-0.9777,1.0847,0.021631,-0.210793 4.9,-15.7272,16.1642,0.021631,-0.217538 4.95,-15.33,16.5496,0.028286,-0.198988 5,14.0506,-13.4139,0.024958,-0.183811 5.05,13.6886,-13.8996,0.023295,-0.158516 5.1,-1.0915,0.7221,0.023295,-0.136594 5.15,-1.0344,0.6044,0.018303,-0.145025 5.2,-1.0935,0.467,0.014975,-0.124789 5.25,-1.0347,0.4277,-0.006993,-0.123103 5.3,-0.6387,0.7979,0,-0.133221 5.35,-0.4911,0.9605,0.024958,-0.118044 5.4,-12.2459,12.6904,0.016639,-0.104553 5.45,-12.0268,13.23,-0.006993,-0.104553 5.5,11.4617,-10.0866,-0.003497,-0.094435 5.55,11.3884,-10.6477,0.009983,-0.10118 5.6,-0.458,0.7001,0.016639,-0.112985 5.65,-0.7388,0.5245,0.016639,-0.114671 5.7,-0.8024,0.5114,0.003328,-0.116358 5.75,-0.7326,0.5763,0.014975,-0.111298 5.8,-0.6406,0.6532,-0.001748,-0.116358 5.85,-0.407,0.8934,0.026622,-0.118044 5.9,-6.6608,6.8177,0.036606,-0.111298 5.95,-6.4126,6.4783,0.031614,-0.104553 6,6.3917,-5.6703,-0.015734,-0.099494 6.05,5.8761,-5.6924,-0.031469,-0.094435 6.1,-0.3298,0.6216,-0.052448,-0.052277 6.15,0.3528,0.9927,-0.006993,-0.05059 6.2,-0.1239,0.4456,0.001664,-0.052277 6.25,-0.7776,-0.0899,-0.052448,-0.06914 6.3,-0.2721,0.5001,-0.047203,-0.084317 6.35,0.1693,1.0303,-0.026224,-0.089376 6.4,-4.7526,5.5854,-0.017483,-0.096121 6.45,-4.7741,5.2975,-0.013986,-0.03204 6.5,4.4847,-4.5926,-0.012238,-0.047218 6.55,3.9692,-4.8766,-0.06993,-0.08769 6.6,0.2855
Sep 29, 2020ENG1060Monash University
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