mincalct.m Modification of
mincalc . Assumes mincalc
has been run, calls for new target vectors and performs same calculations as mincalc.
% MINCALCT file mincalct.m Aditional target probabilities
% Version of 9/1/93 Updated for version 5 on 6/6/97
% Assumes a data file which includes% 1. Call for minvecq to set q basic minterm vectors.
% 2. Data vectors DV. The first combination is always A|Ac.% 3. Row matrix DP of data probabilities. The first entry is always 1.
TV = input('Enter matrix of target Boolean combinations ');[md,nd] = size(DV);[mt,nt] = size(TV);MT = 1:mt;
rd = rank(DV);CT = zeros(1,mt); % Identification of computable target probabilities
for j = 1:mtCT(j) = rd == rank([DV;TV(j,:)]);end
ct = find(CT);CCT = TV(ct,:)/DV; % Determination of coefficients for computable targets
ctp = DP*CCT'; % Determination of probabilitiesdisp(' Computable target probabilities')
disp([MT(ct); ctp]')
minprob.mfunction y = minprob(p) calculates minterm probabilities
for the basic probabilities in row or column vector
p . Uses the m-functions
mintable, colcopy .
function y = minprob(p)
% MINPROB y = minprob(p) Minterm probs for independent events% Version of 4/7/96
% p is a vector [P(A1) P(A2) ... P(An)], with
% {A1,A2, ... An} independent.% y is the row vector of minterm probabilities
% Uses the m-functions mintable, colcopyn = length(p);
M = mintable(n);a = colcopy(p,2^n); % 2^n columns, each the vector p
m = a.*M + (1 - a).*(1 - M); % Puts probabilities into the minterm% pattern on its side (n by 2^n)
y = prod(m); % Product of each column of m
imintest.mfunction y = imintest(pm) checks minterm probabilities
for independence.
function y = imintest(pm)
% IMINTEST y = imintest(pm) Checks minterm probs for independence% Version of 1/25//96
% Checks minterm probabilities for independence% Uses the m-functions mintable and minprob
m = length(pm);n = round(log(m)/log(2));
if m ~= 2^ny = 'The number of minterm probabilities is incorrect';
elseP = mintable(n)*pm';
pt = minprob(P');a = fix(n/2);
s = abs(pm - pt)>1e-7;
if sum(s)>0
disp('The class is NOT independent')disp('Minterms for which the product rule fails')
y = reshape(s,2^a,2^(n-a));else
y = 'The class is independent';end
end
ikn.mfunction y = ikn(P,k) determines the probability of the
occurrence of exactly
k of the
n independent events whose probabilities are in row or
column vector
P (
k may be a row or column vector of nonnegative integers
less than or equal to
n ).
function y = ikn(P,k)
% IKN y = ikn(P,k) Individual probabilities of k of n successes% Version of 5/15/95
% Uses the m-functions mintable, minprob, csortn = length(P);
T = sum(mintable(n)); % The number of successes in each mintermpm = minprob(P); % The probability of each minterm
[t,p]= csort(T,pm); % Sorts and consolidates success numbers
% and adds corresponding probabilitiesy = p(k+1);
Do u think that Graphene and Fullrene fiber can be used to make Air Plane body structure the lightest and strongest.
Rafiq
Rafiq
what is differents between GO and RGO?
Mahi
what is simplest way to understand the applications of nano robots used to detect the cancer affected cell of human body.?
How this robot is carried to required site of body cell.?
what will be the carrier material and how can be detected that correct delivery of drug is done
Rafiq
Rafiq
if virus is killing to make ARTIFICIAL DNA OF GRAPHENE FOR KILLED THE VIRUS .THIS IS OUR ASSUMPTION
Anam
analytical skills graphene is prepared to kill any type viruses .
Anam
Any one who tell me about Preparation and application of Nanomaterial for drug Delivery
The nanotechnology is as new science, to scale nanometric
brayan
nanotechnology is the study, desing, synthesis, manipulation and application of materials and functional systems through control of matter at nanoscale
Damian
how did you get the value of 2000N.What calculations are needed to arrive at it