# Appendix a to applied probability: directory of m-functions and m  (Page 4/24)

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mintable.m function y = mintable(n) generates a table of minterm vectors by repeated use of the m-function minterm .

function y = mintable(n) % MINTABLE y = mintable(n) Table of minterms vectors% Version of 3/2/93 % Generates a table of minterm vectors% Uses the m-function minterm y = zeros(n,2^n);for i = 1:n y(i,:) = minterm(n,i);end

minvec3.m sets basic minterm vectors $\mathbf{A},\mathbf{B},\mathbf{C},{\mathbf{A}}^{\mathbf{c}},{\mathbf{B}}^{\mathbf{c}},{\mathbf{C}}^{\mathbf{c}}$ for the class $\left\{A,B,C\right\}$ . (Similarly for minvec4.m, minvec5.m , etc.)

% MINVEC3 file minvec3.m Basic minterm vectors % Version of 1/31/95A = minterm(3,1); B = minterm(3,2);C = minterm(3,3); Ac = ~A;Bc = ~B; Cc = ~C;disp('Variables are A, B, C, Ac, Bc, Cc') disp('They may be renamed, if desired.')

minmap function y = minmap(pm) reshapes a row or column vector pm of minterm probabilities into minterm map format.

function y = minmap(pm) % MINMAP y = minmap(pm) Reshapes vector of minterm probabilities% Version of 12/9/93 % Reshapes a row or column vector pm of minterm% probabilities into minterm map format m = length(pm);n = round(log(m)/log(2)); a = fix(n/2);if m ~= 2^n disp('The number of minterms is incorrect')else y = reshape(pm,2^a,2^(n-a));end

binary.m function y = binary(d,n) converts a matrix d of floating point nonnegative integers to a matrix of binary equivalents, one on each row.Adapted from m-functions written by Hans Olsson and by Simon Cooke. Each matrix row may be converted to an unspaced string of zeros and ones by the device ys = setstr(y + '0').

function y = binary(d,n) % BINARY y = binary(d,n) Integers to binary equivalents% Version of 7/14/95 % Converts a matrix d of floating point, nonnegative% integers to a matrix of binary equivalents. Each row % is the binary equivalent (n places) of one number.% Adapted from the programs dec2bin.m, which shared % first prize in an April 95 Mathworks contest.% Winning authors: Hans Olsson from Lund, Sweden, % and Simon Cooke from Glasgow, UK.% Each matrix row may be converted to an unspaced string % of zeros and ones by the device: ys = setstr(y + '0').if nargin<2, n = 1; end % Allows omission of argument n [f,e]= log2(d); n = max(max(max(e)),n);y = rem(floor(d(:)*pow2(1-n:0)),2);

mincalc.m The m-procedure mincalc determines minterm probabilities from suitable data. For a discussion of the data formatting and certain problems, see 2.6.

% MINCALC file mincalc.m Determines minterm probabilities % Version of 1/22/94 Updated for version 5.1 on 6/6/97% Assumes a data file which includes % 1. Call for minvecq to set q basic minterm vectors, each (1 x 2^q)% 2. Data vectors DV = matrix of md data Boolean combinations of basic sets-- % Matlab produces md minterm vectors-- one on each row.% The first combination is always A|Ac (the whole space) % 3. DP = row matrix of md data probabilities.% The first probability is always 1. % 4. Target vectors TV = matrix of mt target Boolean combinations.% Matlab produces a row minterm vector for each target combination. % If there are no target combinations, set TV = []; [md,nd]= size(DV); ND = 0:nd-1;ID = eye(nd); % Row i is minterm vector i-1 [mt,nt]= size(TV); MT = 1:mt;rd = rank(DV); if rd<md disp('Data vectors are NOT linearly independent')else disp('Data vectors are linearly independent')end % Identification of which minterm probabilities can be determined from the data% (i.e., which minterm vectors are not linearly independent of data vectors) AM = zeros(1,nd);for i = 1:nd AM(i) = rd == rank([DV;ID(i,:)]); % Checks for linear dependence of each endam = find(AM); % minterm vector CAM = ID(am,:)/DV; % Determination of coefficients for the available mintermspma = DP*CAM'; % Calculation of probabilities of available minterms PMA = [ND(am);pma]'; if sum(pma<-0.001)>0 % Check for data consistency disp('Data probabilities are INCONSISTENT')else % Identification of which target probabilities are computable from the dataCT = zeros(1,mt); 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]') end % end for "if sum(pma<-0.001)>0" disp(['The number of minterms is ',num2str(nd),]) disp(['The number of available minterms is ',num2str(length(pma)),]) disp('Available minterm probabilities are in vector pma')disp('To view available minterm probabilities, call for PMA')

Application of nanotechnology in medicine
what is variations in raman spectra for nanomaterials
I only see partial conversation and what's the question here!
what about nanotechnology for water purification
please someone correct me if I'm wrong but I think one can use nanoparticles, specially silver nanoparticles for water treatment.
Damian
yes that's correct
Professor
I think
Professor
what is the stm
is there industrial application of fullrenes. What is the method to prepare fullrene on large scale.?
Rafiq
industrial application...? mmm I think on the medical side as drug carrier, but you should go deeper on your research, I may be wrong
Damian
How we are making nano material?
what is a peer
What is meant by 'nano scale'?
What is STMs full form?
LITNING
scanning tunneling microscope
Sahil
how nano science is used for hydrophobicity
Santosh
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
what is Nano technology ?
write examples of Nano molecule?
Bob
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
Is there any normative that regulates the use of silver nanoparticles?
what king of growth are you checking .?
Renato
What fields keep nano created devices from performing or assimulating ? Magnetic fields ? Are do they assimilate ?
why we need to study biomolecules, molecular biology in nanotechnology?
?
Kyle
yes I'm doing my masters in nanotechnology, we are being studying all these domains as well..
why?
what school?
Kyle
biomolecules are e building blocks of every organics and inorganic materials.
Joe
anyone know any internet site where one can find nanotechnology papers?
research.net
kanaga
sciencedirect big data base
Ernesto
Introduction about quantum dots in nanotechnology
hi
Loga
what does nano mean?
nano basically means 10^(-9). nanometer is a unit to measure length.
Bharti
A fair die is tossed 180 times. Find the probability P that the face 6 will appear between 29 and 32 times inclusive By OpenStax By OpenStax By David Bourgeois By Stephen Voron By Brooke Delaney By Brooke Delaney By OpenStax By Alec Moffit By Brooke Delaney By