Please help me to get an idea to solve this question.I have tried several sequence to race condition, but i couldn't get a correct one.
every time the value of x is same.
This is the way I've tried
Under the assumption that a line isn't to be considered an atomic operation, you can split up any of the lines modifying x based on its own value into a read and write part. Doing this only for one, for example from the increase function, yields:
y = 5;
int temporary = x; // read value
temporary += y;
x = temporary; // write modified value back
x++; // this could be split up similarly
z = /* whatever */;
With this "expanded" code sequence you should have no problem finding sequences of operations with different result values for x.
Related
If I wanted to create an array of specified class I would use an approach like this. So creating an array of int looks like this:
Aint = int16.empty(5,0);
Aint(1) = 3;
And it works fine. Now I want to create an array of tf class objects. My approach was similar:
L = tf.empty(5, 0);
s = tf('s');
L(1) = s;
This gives me an error:
Error using InputOutputModel/subsasgn (line 57)
Not enough input arguments.
Error in tf_array (line 6)
L(1) = s;
I also made sure to display class(s) and it correctly says it's tf. What do I do wrong here?
As usual, the MATLAB documentation has an example for how to do this sort of thing:
sys = tf(zeros(1,1,3));
s = tf('s');
for k = 1:3
sys(:,:,k) = k/(s^2+s+k);
end
So, the problem likely is that the indexing L(1) is wrong, it needs to be L(:,:,1).
Do note that tf.empty(5, 0) is instructing to create a 5x0 array (i.e. an empty array). There is no point to this. You might as well just skip this instruction. Because when you later do L(:,:,1), you'll be increasing the array size any way (it starts with 0 elements, you want to assign a new element, it needs to reallocate the array). You should always strive to create the arrays of the right size from the start.
I have an excel file and I need to read it based on string values in the 4th column. I have written the following but it does not work properly:
[num,txt,raw] = xlsread('Coordinates','Centerville');
zn={};
ctr=0;
for i = 3:size(raw,1)
tf = strcmp(char(raw{i,4}),char(raw{i-1,4}));
if tf == 0
ctr = ctr+1;
end
zn{ctr}=raw{i,4};
end
data=zeros(1,10); % 10 corresponds to the number of columns I want to read (herein, columns 'J' to 'S')
ctr=0;
for j = 1:length(zn)
for i=3:size(raw,1)
tf=strcmp(char(raw{i,4}),char(zn{j}));
if tf==1
ctr=ctr+1;
data(ctr,:,j)=num(i-2,10:19);
end
end
end
It gives me a "15129x10x22 double" thing and when I try to open it I get the message "Cannot display summaries of variables with more than 524288 elements". It might be obvious but what I am trying to get as the output is 'N = length(zn)' number of matrices which represent the data for different strings in the 4th column (so I probably need a struct; I just don't know how to make it work). Any ideas on how I could fix this? Thanks!
Did not test it, but this should help you get going:
EDIT: corrected wrong indexing into raw vector. Also, depending on the format you might want to restrict also the rows of the raw matrix. From your question, I assume something like selector = raw(3:end,4); and data = raw(3:end,10:19); should be correct.
[~,~,raw] = xlsread('Coordinates','Centerville');
selector = raw(:,4);
data = raw(:,10:19);
[selector,~,grpidx] = unique(selector);
nGrp = numel(selector);
out = cell(nGrp,1);
for i=1:nGrp
idx = grpidx==i;
out{i} = cell2mat(data(idx,:));
end
out is the output variable. The key here is the variable grpidx that is an output of the unique function and allows you to trace back the unique values to their position in the original vector. Note that unique as I used it may change the order of the string values. If that is an issue for you, use the setOrderparameter of the unique function and set it to 'stable'
From the documentation, we see the following example:
g = gallery('integerdata',3,[15,1],1);
x = gallery('uniformdata',[15,1],9);
y = gallery('uniformdata',[15,1],2);
A = table(g,x,y)
func = #(x, y) (x - y);
B = rowfun(func,A,...
'GroupingVariable','g',...
'OutputVariableName','MeanDiff')
When the function func is applied to A in rowfun how does it know that there are variables in A called x and y?
EDIT: I feel that my last statement must not be true, as you do not get the same result if you did A = table(g, y, x).
I am still very confused by how rowfun can use a function that does not actually use any variables defined within the calling environment.
Unless you specify the rows (and their order) with the Name/Value argument InputVariables, Matlab will simply take column 1 as first input, column 2 as second input etc, ignoring eventual grouping columns.
Consequently, for better readability and maintainability of your code, I consider it good practice to always specify InputVariables explicitly.
In our model of a physical system, we modify one flux value by a factor from a look-up table. The LUT itself is selected from a catalog of LUTs based on an integer index. We're currently loading the table data into CombiTable2D components. What is the correct way to select/define the correct LUT? If we have them all as named tables in one input data file, is there a way to pick an LUT based on it's tableName (the CombiTable parameter)? I've been playing with For loops in either equation or algorithm formats, but haven't found a syntax that works yet.
Thanks in advance for the thoughts...
I think it only works with one table per file so you can have an array of tables, something like:
parameter Integer N = 3;
parameter String selectTable = "tab2";
Modelica.Blocks.Tables.CombiTable2D tableArray[N](
each tableOnFile = true,
fileName = {"file1", "file2", "file3"},
tableName={"tab1", "tab2", "tab3"});
// use the tableArray
for i in 1:N loop
// note that N and selectTable need to be known at compile
// time so that the if and the for loop can be expanded
if (tableArray[i].tableName == selectTable)
then
connect(tableArray[i].u1, u1);
connect(tableArray[i].u2, u2);
connect(tableArray[i].y, y);
endif;
end for;
temp(i,1) = rand(1)*(pb(1,num).pos(i,1) - pw(1,num).pos(i,1));
This line gives the following error:
Error using ==> minus
Not enough input arguments.
The following are the definitions of pb and pw.
pw=struct('fitness',[],'pos',{});
pb=struct('fitness',[],'pos',{});
pos is a 2 x 1 array.
When tracking down errors like this, I break the problem up into smaller bits. Especially when the logic isn't readily apparent. Not only does it provide a path that can be used to step through your function using the debugger, but it also makes it more readable.
I've taken liberty with the intermediate variable names.
thisPb = pb(1,num);
thisPw = pw(1,num);
initialPos= pw.pos(i,1);
finalPos = pb.pos(i,1);
whos initialPos finalPos
temp(i,1) = rand(1) * (finalPos - initialPos);
The line with whos will print out the values. Make sure that finalPos and initialPos are both numbers.
One way that you can get this error is when num is an empty matrix.
The expression
>> s(x).a
can return a variable number of outputs, depending on the size of x.
If x = [1,2,3] for example, it will return three values (as long as s has at least three elements).
If x = [] on the other hand, then s(x).a will return no outputs, so the expression
>> disp(s(x).a)
will give you a Not enough input arguments error, which is almost certainly what you're seeing. You should check that num is not empty.
Are you sure, that all values are really initialised? Try to check this before your codeline.
disp(pb(1,num).pos(i,1))
disp(pw(1,num).pos(i,1))
temp(i,1) = rand(1)*(pb(1,num).pos(i,1) - pw(1,num).pos(i,1));