MATLAB code Archives — MATLAB Number ONE

Code debugging in MATLAB

global MATLAB — Tue, 29 Dec 2020 09:20:06 +0000

You can debug your programs in the following ways: Divide the program into several shorter sections and try each section separately. Write the results of the calculations in the middle stages of the program flow. You can do this easily by removing the semicolon (;) from the end of the calculation statement or writing the […]

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MATLAB TIPS AND TRICKS

global MATLAB — Tue, 12 Jun 2018 12:17:42 +0000

Version Issues One of the key issues to be mindful of is that there are two new versions of MATLAB every year, one in the spring of that year (e.g., 2016a) and one in the fall (e.g., 2016b). Whereas changes in each release are incremental, over time, these changes do add up to transformational change. For instance, […]

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Numerical integral of an input function or data set using Simpson’s rule

global MATLAB — Thu, 15 Mar 2018 13:36:04 +0000

function I = simpsons(f,a,b,n) if numel(f)¿1 % If the input provided is a vector n=numel(f)-1; h=(b-a)/n; I= h/3*(f(1)+2*sum(f(3:2:end-2))+4*sum(f(2:2:end))+f(end)); else % If the input provided is an anonymous function h=(b-a)/n; xi=a:h:b; I= h/3*(f(xi(1))+2*sum(f(xi(3:2:end-2)))+4*sum(f(xi(2:2:end)))+f(xi(end))); end

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flow rate calculation in the microfluidic channels using the rectangular channel flow equations

global MATLAB — Thu, 15 Mar 2018 13:33:22 +0000

The following protocol calculated flow rate in the microfluidic channels using data obtained from PIV using the rectangular channel flow equations. %Calculates flow rate from velocity according to the exact solution of %rectangular channel flow %Enter everything as u:m/s, W,H: micron, L: mm function[q]=profilecalc(W,H,L) %Definitions, converting to standard SI %Width w=W*10ˆ-6; %Height h=H*10ˆ-6; %Length l=L*10ˆ-3; […]

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flow rate calculation in the microfluidic channels using Purday approximation

global MATLAB — Thu, 15 Mar 2018 13:31:18 +0000

flow rate calculation in the microfluidic channels using data obtained from PIV using the Purday approximation. %Program uses the maximum velocity obtained from PIV to calculate the flow %rate %Define time step (us) time step=90; %Channel width (um) w=1500; %Channel height (um) h=212.5; %Read in the image vectors v=loadvec(’*.vc7’); %For each time step/file: %Access […]

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Sinc interpolation on input waveforms

global MATLAB — Thu, 15 Mar 2018 13:28:46 +0000

function [yi, ypi] = sincdint(x, y, xi, c) % SINCDINT 1-D piecewise discrete sinc interpolation % SINCDINT(X,Y,XI,C) interpolates to find YI, the values of the % underlying function Y at the points in the array XI, using % piecewise discrete sinc interpolation. X and Y must be vectors % of length N. % % C […]

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Analytical Solution of Fick’s 2nd law

global MATLAB — Thu, 09 Nov 2017 08:40:30 +0000

Analytical Solution of Fick’s 2nd law The rate at which the dye mixes with the water is characterized by determining a dispersion coefficient. The analytical solution for equation 5 when a pulse of mass ’M’ is injected at x=0, the concentration distribution over a cross section of area ‘’ is given by Where C=Concentration (kg/), […]

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MATLAB code for Vogel’s Approximation Method

global MATLAB — Sat, 21 Oct 2017 14:57:29 +0000

  function [minTcost,b,c]=vogel(A,sup,dem) %input:transportationcostA,vectorsupply %sup,vectordemanddem %output:minimumtransportationcostminTcost, %basicmatrixb,costmatrixc, b=zeros(size(A)); ctemp=A; [m,n]=size(A); c=zeros(m,n); while length(find(dem==0))<length(dem)|| length(find(sup==0))<length(sup) prow=sort(ctemp,1); prow=prow(2,:)-prow(1,:);%rowpenalty pcol=sort(ctemp,2); pcol=pcol(:,2)-pcol(:,1);%columnpenalty [rmax,rind]=max(prow); [cmax,cind]=max(pcol); disp('columnpenalty') disp(prow); disp('rowpenalty'); disp(pcol); %valueforallocatedcell if rmax>cmax [~,mind]=min(ctemp(:,rind)); [amt,dem,sup,ctemp]= chkdemandsupply(dem,sup,rind,mind,ctemp); x=sprintf('x(%d,%d)=%d',mind,rind,amt); disp(x); b(mind,rind)=1; c(mind,rind)=amt; disp(c); end if cmax>=rmax [~,mind]=min(ctemp(cind,:)); [amt,dem,sup,ctemp]=chkdemandsupply(dem,sup,mind,cind,ctemp); x=sprintf('x(%d,%d)=%d',cind,mind,amt); disp(x); b(cind,mind)=1; c(cind,mind)=amt; disp(c); minTcost=sum(sum(c.*A)); end end function [y,dem,sup,ctemp]=chkdemandsupply(dem,sup,ded,sud,ctem) tempd=dem; temps=sup; if tempd(ded)>temps(sud) temps(sud)=0; […]

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MATLAB code for Least Cost Method

global MATLAB — Sat, 21 Oct 2017 14:24:59 +0000

function[minTcost,b,c]=leastcost(A,sup,dem) %input:TransportationcostA,supplysup, %demanddem %output:minimumtransportationcost %minTcost,basicmatrixb,costmatrixc [m,n]=size(A); sum=0; rf=zeros; cf=zeros; b=zeros(m,n); c=zeros(m,n); for I=1:m rf(I,1)=0; for J=1:n cf(1,J)=0; end end f=m; d=n; while f>0&&d>0 min=Inf; for I=1:m if rf(I,1)~=1 for J=1:n if cf(1,J)~=1 if min>A(I,J) min=A(I,J); p=I; q=J; end end end end end if sup(p,1)<dem(1,q) b(p,q)=1; c(p,q)=sup(p,1); disp(c); sum=sum+A(p,q)*sup(p,1); x=sprintf('x(%d,%d)=%d',p,q,sup(p,1)); disp(x); dem(1,q)=dem(1,q)*sup(p,1); sup(p,1)=0; disp('sup'); […]

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Support Vector Machine for Speech Recognition

global MATLAB — Wed, 18 Jan 2017 11:31:14 +0000

LPC coefficients for three different isolated words are collected.

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