I get an error, what's wrong? on Sparse matrix logic and answer
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Write the function for
A sparse matrix is a large matrix with almost all elements of the same value (typically zero). The normal representation of a sparse matrix takes up lots of memory when the useful information can be captured with much less. A possible way to represent a sparse matrix is with a cell vector whose first element is a 2-element vector representing the size of the sparse matrix. The second element is a scalar specifying the default value of the sparse matrix. Each successive element of the cell vector is a 3-element vector representing one element of the sparse matrix that has a value other than the default. The three elements are the row index, the column index and the actual value. Write a function called "sparse2matrix" that takes a single input of a cell vector as defined above and returns the output argument called "matrix", the matrix in its traditional form. Consider the following run:
cellvec = {[2 3], 0, [1 2 3], [2 2 -3]};
matrix = sparse2matrix(cellvec)
matrix =
0 3 0
0 -3 0

23 Comments
Walter Roberson
on 20 Apr 2019
No question was asked.
Suraj Tawde
on 20 Apr 2019
Edited: Suraj Tawde
on 20 Apr 2019
Walter Roberson
on 20 Apr 2019
That is not a question, that is a command.
Walter Roberson
on 20 Apr 2019
You have been given a homework command. You have not asked a question. A question would be something like "What is a cell array in MATLAB?"
We are not going to give you the answer to your homework. You need to ask something specific, like "I wrote wrote the following code, but when I ran it I got 'subscripts must be logical values or positive integers' on line 4. What does that mean?"
Mounic Kumar
on 21 Jun 2019
you can try this, if you like it;
function matrix = sparse2matrix(cellvec)
A=cellvec{1};
b=cellvec{2};
mat(A(1),A(2))=b;
mat(:,:)=b;
s=size(cellvec);
for ii = 3:s(2)
mat(cellvec{ii}(1),cellvec{ii}(2))=cellvec{ii}(3);
end
matrix=mat;
Aman Gupta
on 27 Jun 2019
A sparse matrix is a large matrix with almost all elements of the same value (typically zero). The normal representation of a sparse matrix takes up lots of memory when the useful information can be captured with much less. A possible way to represent a sparse matrix is with a cell vector whose first element is a 2-element vector representing the size of the sparse matrix. The second element is a scalar specifying the default value of the sparse matrix. Each successive element of the cell vector is a 3-element vector representing one element of the sparse matrix that has a value other than the default. The three elements are the row index, the column index and the actual value. Write a function called sparse2matrix that takes a single input of a cell vector as defined above and returns the output argument called matrix, the matrix in its traditional form. Consider the following run:
SOLUTION.
function matrix = sparse2matrix(cellvec)
matrix = cellvec{2} * ones(cellvec{1});
k = length(cellvec);
for i = 3:k
a= cellvec{i}(1:2);
d = a(1);
b = a(2);
c = cellvec{i}(3);
matrix(d,b) = c;
end
end
Rahul Gulia
on 24 Jul 2019
Thanks for the solution Aman. But i have just 1 query. If i write Line 2 as :
matrix = zeros(cellvec{1}(1),cellvec{1}(2));
It is giving correct answer for some inputs. But not for all. Can someone please explain to me the difference in this thing ?
Walter Roberson
on 24 Jul 2019
Aman's solution impliments the "default value of the sparse matrix" by initializing the matrix to all copies of that value.
Aritra Das
on 7 May 2020
Thanks a lot for you valuable help.
Arpit Srivastav
on 18 May 2020
Hello Rahul Gulia, You cannot make a Matrix using Zeros function because The value of each element in Sparse matrix is typically zero not Compulsorily zero, use ones function and Multiply it with the Second element of the cell. If the second element of cell is zero ultimately the matrix so generated will be zero. However if you want to go other way around it's not possible. I hope it helps
Arpit Srivastav
on 18 May 2020
Hello Sir Walter, Looking at Aman's answer I'm in a little confusion. Is cellvec{1,2} is equivalent to cellvec{2} ?
Arpit Srivastav
on 18 May 2020
Edited: Walter Roberson
on 18 May 2020
Sir Walter, It's strange how Aman has directly focused on pin pointing elements by just providing the element number i.e. second line of for loop, instead of using {1,3}(1,1) and then {1,3}(1,2)
Following is the code I wrote, Only problem is I didn't know how to apply looping in this question. Please find that I specially mentioned the location by providing both row and column number whereas Aman has not done it in that way. He has directly used the column number as We know We will always be passing a row vector as input argument. It also makes loads of sense, there's no question about it. But for me the confusion is how come Matlab is able to understand that!
I hope you got my question Sir. I anticipate a quick reply from your side Kind Regards Arpit Srivastav
function matrix = sparse2matrix(cellvec)
a = cellvec{1,1}(1,1);
b = cellvec{1,1}(1,end);
magnitude = cellvec{1,2}(1,1);
A = magnitude*ones(a,b);
r1 = cellvec{1,3}(1,1);
c1 = cellvec{1,3}(1,2);
v1 = cellvec{1,3}(1,3);
end
r2 = cellvec{1,4}(1,1);
c2 = cellvec{1,4}(1,2);
v2 = cellvec{1,4}(1,3);
A(r1,c1) = v1;
A(r2,c2) = v2;
matrix=A;
Walter Roberson
on 18 May 2020
Is cellvec{1,2} is equivalent to cellvec{2}
cellvec{2} is an example of what MATLAB calls "linear indexing". When you use a single index into an array, then MATLAB starts counting from the beginning of the array, using the order of the elements as stored in memory .
MATLAB stores elements in "column major order", https://en.wikipedia.org/wiki/Row-_and_column-major_order which means that elements in the same column are beside each other in memory. For example for A=[1 2 3; 4 5 6; 7 8 9], the order in memory is
1 %A(1,1)
4 %A(2,1)
7 %A(3,1)
2 %A(1,2)
5 %A(2,2)
8 %A(3,2)
3 %A(1,3)
6 %A(2,3)
9 %A(3,3)
The row number varies most quickly, then the column number.
It happens that if you have a vector of values, that the ordering turns out the same in memory:
Brow = [8 5 4]
8 %Brow(1,1)
5 %Brow(2,1)
4 %Brow(3,1)
Bcol = [8; 5; 4]
8 %Brow(1,1)
5 %Brow(1,2)
4 %Brow(1,3)
So if you know something is a vector, you do not need to know whether it is a row vector or column vector if you just use a single index into it.
Walter Roberson
on 18 May 2020
You cannot make a Matrix using Zeros function
You can if you add the base value to the matrix of zeros()
matrix = cellvec{2} + zeros(cellvec{1});
Lokesh Sahu
on 1 Sep 2020
function matrix = sparse2matrix (cellvec)
m = cellvec{1}(1,1);
n = cellvec{1}(1,2);
defult = ones(m,n) .* cellvec{1,2};
for i= 3:length(cellvec)
r1 = cellvec{i}(1,1);
c1 = cellvec{i}(1,2);
defult(r1,c1) = cellvec{i}(1,3);
end
matrix = defult;
end
Muhammad Faizan Ahmed
on 1 Jan 2023
Edited: Muhammad Faizan Ahmed
on 1 Jan 2023
function matrix = sparse2matrix(input_cell)
matrix = [];
sz = input_cell{1}; % size of matrix
default = input_cell{2}; % default value
matrix = ones(sz)*default;
for i = 3 : length(input_cell)
matrix(input_cell{i}(1), input_cell{i}(2)) = input_cell{i}(3);
end
Dyuman Joshi
on 2 Nov 2023
I think this thread needs some cleanup.
I weeded out some blatant duplicates and multicomment spamming. There's still about a dozen very samey answers that all vary slightly in compactness and inconsequential details like variable names, etc. That's kind of what happens when you have a simple problem. There isn't much variety. It's just a bunch of answers that are more or less the same.
Right now, I'm just sick of looking at it. You're free to pick ones you think should be pruned and flag them. I noticed you're inclined to keep things organized and am looking forward to you getting editor privileges soon.
I think this should have been soft-locked a long time ago. It's a lot easier to screen answers as they're posted than it is to try to untangle a large volume of answers that aren't necessarily in chronological order.
Rik
on 2 Nov 2023
It is unfortunate that dev time can only be spent once. I believe the soft-lock feature has been on the list for several years now. That doesn't mean it won't come, but that does mean it might take a few more years before it arrives (following the suggestion here, I always assume I need to wait about as long as I already have waited).
@Dyuman Joshi, I you feel like it, feel free to go through this thread and flag answers for deletion. DGM (or I, or another editor) will do a double check and delete them.
Dyuman Joshi
on 3 Nov 2023
Edited: Dyuman Joshi
on 8 Nov 2023
And yes, I like to keep things tidy. An organized and structured thread helps someone to jump in to the discussion and engage in thread smoothly and is easy to follow for any reader as well.
Rik
on 8 Nov 2023
Unfortunatly the only way to do that would be to close the thread, and I personally think that would be too aggressive.
Walter Roberson
on 9 Nov 2023
Locking threads is something that Mathworks is working on, but it isn't available yet.
It will likely take the form of requiring a minimum reputation to add to soft-locked Questions.
All we can really do is post a notice clarifying that duplicates will be subject to deletion, and then manually follow up on it whenever new activity occurs. That's what I mean when I say "soft lock". Sort of like:
It helps to have the thread cleaned and cataloged enough to be able to summarize the forms that have already been exhausted. Rik's comment on that question makes it easier for the reader to grasp the scope of the whole thread, and it also makes it easier to moderate it when the rules are clearly stated and a summary is available.
Of course, that would require cleaning up and summarizing all these sprawling threads, in many of which the repeated patterns aren't as easy to distinguish. It makes it all the more time consuming when the volume of content make the page laggy. When the answers are large, it makes comparison all the more tedious. One thread I don't even want to deal with is this one:
I've tried a number of ideas to steamline the cleanup task, but if I'm honest, I don't really have a good way. After an hour or three staring at piles of slightly embellished variations with vague timestamps, I tend to start losing perspective and patience and it's hard for me to feel confident that I'm being fair.
Even without a full cleanup and formal notice, there's no reason we can't check new posts as they arrive on duplicate-prone types of threads. I tend to just keep an eye out for old threads that get bumped. It helps catch traffic on these sorts of homework//onramp/coursera threads, but it also catches the cases where people try burying their questions where they don't belong.
Answers (30)
stanleo
on 7 Jul 2019
%simple version
function matrix = sparse2matrix(cellvec)
matrix = cellvec{2}*ones(cellvec{1});
for m=3:size(cellvec,2)
matrix(cellvec{m}(1),cellvec{m}(2))=cellvec{m}(3);
end
6 Comments
Moksha Mehta
on 23 Jun 2020
Edited: Moksha Mehta
on 23 Jun 2020
can someone explain what is this "*ones", i looked it up and it says it creates an array of 1s. However don't we require all 0s other than the middle?
the entire code is confusing, even reading others, I'm finding it difficult despite watching the videos again.
Walter Roberson
on 23 Jun 2020
No, the question says that the second element is a scalar specifying the default value for the sparse matrix -- so the matrix is to be all copies of that second element except where the following elements indicate it should be different.
Travis Ha
on 29 Jul 2020
I dont get the for statement, for m=3:size(cellvec,2). To my understanding, the size(cellvec,2) is the size of the default value for the sparse matrix, but I know that is incorrect. What does the size statement in this case do and what is m?
Bhoomika Manjunatha
on 29 Aug 2020
can someone pls explain the entire code.
Rik
on 29 Aug 2020
There are several complete solutions on this page. What have you tried so far to piece together what every part means?
Walter Roberson
on 29 Aug 2020
Bhoomika:
We do not have any idea what your level of experience in programming is. We would have to start from the basics of mathematics and computer science to explain the entire code in a way that we could relatively sure you would understand. That would take at least two textbooks of explanation. None of us has time to write all that.
We suggest you ask more specific questions that can be more easily answered.
AYUSH GURTU
on 28 May 2019
function [matrix]=sparse2matrix(incell)
S=size(incell);
q=S(2)-2;
msize=incell{1};
mdef=incell{2};
matrix=repmat(mdef,msize);
while q>0
matrix(incell{q+2}(1), incell{q+2}(2)) = incell{q+2}(3);
q = q-1;
end
4 Comments
Sarthak Swain
on 25 Aug 2020
perfect
THIERNO AMADOU MOUCTAR BALDE
on 29 Dec 2020
perfect thank you sir
Kaushik Hariharan
on 13 Feb 2024
Edited: Kaushik Hariharan
on 13 Feb 2024
Could anyone explain why q=S(2)-2 = 2? I would have thought it was zero since S is size of incell which is 1*4. And s(2) could either be the 2nd index value. I am not sure how it is 4-2.
for the while loop, why are we calling q+2? and then doing q=q-1? in Incell isn;t there two values of q+2 = 4 for the first test case and if we do that we would skip the first 3-element vector. When I tried this code, I saw that it chaged 1,2 first to value of 3 then when down to 2,2 then changed the value of -3. I am trying to understand the process matlab code is taking, perhaps understanding the when s(2) = 4 would probably explain more.
DGM
on 14 Feb 2024
There's an offset of 2 because the first two elements of the cell array store the size of the original numeric array and the fill value.
The reason that q is decremented from S(2)-2 to zero is because whoever wrote this chose to use a while loop and count backwards instead of just using a for loop.
Pavel Radko
on 13 Aug 2020
Edited: Pavel Radko
on 13 Aug 2020
Passed all tests solution. May be not the best one (because I have no idea how to biuld default matrix in easier way), but works 100%.
% Build a matrix called "matrix" using instrictions of input "cellvec"
function matrix = sparse2matrix(cellvec)
% first we build a default matrix with size ii*jj
% we use 1st element of "cellvec" to get the size of matrix
for ii = 1:cellvec{1}(1,1)
for jj = 1:cellvec{1}(1,2)
% all elements of matrix equals to the 2nd element of "cellvec"
matrix(ii,jj) = cellvec{2};
end
end
% now we need to change elements of our default matrix
% instructions for place and value of this elements comes in "cellvec"
% from 3rd element till the end of "cellvec"
for zz = 3:length(cellvec)
% we call "matrix" elements and assign values to them from every 3rd element of subarrays of "cellvec"
matrix(cellvec{zz}(1,1),cellvec{zz}(1,2)) = cellvec{zz}(1,3);
end
end
3 Comments
dina mohamed
on 27 Dec 2020
thanks a lot
THIERNO AMADOU MOUCTAR BALDE
on 29 Dec 2020
working for the example given in the problem but others no thanks for sharing
manish Singh
on 18 Jun 2021
You wrote down the complex code into very simple manner and it do work for any problem. And I understand it very well
Thanks man,
Abhishek singh
on 24 Apr 2019
function [matrix]= sparse2matrix(incell);
X=size(incell);
q=X(2)-2;
msize=incell{1};
mdef=incell{2};
matrix=repmat(mdef,msize);
while q > 0
matrix(incell{q+2}(1), incell{q+2}(2)) = incell{q+2}(3);
break
end
output
matrix =
0 0 0
0 -3 0
required output
matrix =
0 3 0
0 -3 0
2 Comments
Abhishek singh
on 24 Apr 2019
# added q+1
function [matrix]= sparse2matrix(incell);
X=size(incell);
q=X(2)-2;
msize=incell{1};
mdef=incell{2};
matrix=repmat(mdef,msize);
while q > 0
matrix(incell{q+1}(1), incell{q+1}(2)) = incell{q+1}(3);
matrix(incell{q+2}(1), incell{q+2}(2)) = incell{q+2}(3);
break
end
matrix =
0 3 0
0 -3 0
but failed for
ariable solution has an incorrect value.
sparse2matrix( { [ 9 12 ], 3, [ 6 2 6 ], [ 7 1 -6 ], [ 1 10 -7 ], [ 2 2 -3 ], [ 1 4 -8 ], [ 1 11 -8 ], [ 9 11 -8 ], [ 7 8 5 ], [ 9 8 4 ], [ 9 11 7 ], [ 5 9 -4 ], [ 8 12 8 ], [ 3 6 5 ] } ) failed...
Walter Roberson
on 24 Apr 2019
Why are you using break after one iteration of the loop ? If you are only going to do a set of instructions once, do not bother to put it in a loop.
I suggest that you read about for loops.
Jaimin Motavar
on 30 Jun 2019
Edited: Jaimin Motavar
on 30 Jun 2019
can you tell me what is wrong in this answer?
function matrix = sparse2matrix(a)
e=length(a);
b=rand(a{1,1});
[m,n]=size(b);
c=a{1,3};
d=a{1,4};
for i=1:m
for j=1:n
b(i,j)=a{1,2};
end
end
for g=3:e
for f=(g-2):(e-2)
p(1,f)=a{1,g}(1,1);
end
end
for g=3:e
for f=(g-2):(e-2)
q(1,f)=a{1,g}(1,2);
end
end
for g=3:e
for f=(g-2):(e-2)
r(1,f)=a{1,g}(1,3);
end
end
for o=1:(e-2)
b(p(o),q(o))=r(o);
end
matrix=b;
end
Litesh Ghute
on 20 Mar 2020
What's wrong with my code ?
function matrix= sparse2matrix(v)
mat=zeros([v{1}(1),v{1}(2)]);
r=size(mat);
m=3;
while m <= 4
i=v{m}(1);
j=v{m}(2);
mat(v{m}(i,j))=v{m}(3);
m=m+1;
end
matrix=mat;
end
1 Comment
Walter Roberson
on 21 Mar 2020
You did not use the default value for the matrix.
ABINAND PANDIYAN
on 23 Apr 2020
Edited: ABINAND PANDIYAN
on 23 Apr 2020
%All the test cases are right. try this
function matrix= sparse2matrix(cellvec)
a= cellvec{1};
row=a(1);
column=a(2);
main_value= cellvec{2};
sparse_matrix= main_value * ones(row, column);
len= length(cellvec);
for i= 3:length(cellvec)
change = cellvec{i};
r=change(1);
c=change(2);
m=change(3);
sparse_matrix(r,c)=m;
end
matrix=sparse_matrix;
end
4 Comments
Aritra Das
on 7 May 2020
Thanks a lot for you valuable help.
Kilaru Venkata Krishna
on 16 May 2020
Thanks for this which made understand easily.
Priya Dwivedi
on 18 May 2020
Bt ans coming is incorrect
THIERNO AMADOU MOUCTAR BALDE
on 29 Dec 2020
thank you so much!
it is working just one suggestion for using the variable len
len = length(cellvec);
for i = i= 3:len
...
......
end
SAMARTH MAHESHKUMAR GEMLAWALA
on 15 May 2020
% Compteled all the test cases successfully.
function matrix = sparse2matrix(a)
cellvec = a
p= size(cellvec)
z = cellvec{1,1}
x = cellvec{1,2}
matrix = zeros(z(1,1),z(1,2));
for i=1:z(1,1)
for j= 1:z(1,2)
matrix(i,j) = x;
end
end
for j= 3: p(1,2)
y = cellvec{1,j}
matrix(y(1,1),y(1,2)) = y(1,3);
end
1 Comment
Amith Anoop Kumar
on 26 Jun 2020
can you just expalin me the for loop 1:z(1,1)
Priyansh Kushwaha
on 16 May 2020
Edited: Priyansh Kushwaha
on 17 May 2020
function matrix=sparse2matrix(a)
b=a{1,1}
b1=b(1,1);
b2=b(1,2);
e=ones(b1,b2);
b=a{1,2}
e=b.*(e);
for i=3:length(a)
c=a{1,i};
d1=c(1,1);
d2=c(1,2);
d3=c(1,3);
e(d1,d2)=d3;
matrix=e;
end
matrix=e;
end
3 Comments
Walter Roberson
on 17 May 2020
matrix=e;
You overwrite matrix after the loop, so there is no point in doing that assignment inside the loop.
Priyansh Kushwaha
on 17 May 2020
When there are less element in the 'a' (less than 3), So ''matrix=e'' assignment is helpful to display the output/ assigning value because in this condition(length(a)<3) the loop does not initiate.
Walter Roberson
on 17 May 2020
but there is semicolon so it is not going to display anything.
utkarsh singh
on 21 May 2020
Edited: utkarsh singh
on 21 May 2020
function matrix=sparse2matrix(a)
row=a{1,1}(1,1);
col=a{1,1}(1,2);
default=a{1,2}; % or simply default=a{1,2}
matrix=ones(row,col)*default; % matrix=ones(a{1})*deafult.....no need of finding row and col
for m=3:length(a)
matrix(a{m}(1,1),a{m}(1,2))=a{m}(1,3);
end
Taif Ahmed BIpul
on 24 May 2020
function matrix=sparse2matrix(cellvec)
m=ones(cellvec{1}(1),cellvec{1}(2));
m=m.*cellvec{2};
for i=3:length(cellvec)
m(cellvec{i}(1),cellvec{i}(2))=cellvec{i}(3);
end
matrix=m;
1 Comment
Chandrashekar Upadhya b r
on 28 Jun 2020
Thank u It was very simple
Ahmed Mamdouh
on 7 Jun 2020
function matrix = sparse2matrix(ce)
matri=ones(ce{1,1}(1,1),ce{1,1}(1,2))*ce{1,2};
siz=size(ce);
i=siz(1,2);
for ii=3:i
matri( ce{1,ii}(1,1),ce{1,ii}(1,2))=ce{1,ii}(1,3);
end
matrix=matri;
Shikha Thapa
on 13 Jun 2020
function matrix=sparse2matrix(cellvec)
matrix=cellvec{1,2}*ones([cellvec{1}(1),cellvec{1}(2)]);
for a=3:length(cellvec)
matrix(cellvec{1,a}(1,1), cellvec{1,a}(1,2))=cellvec{1,a}(1,3);
end
1 Comment
Shikha Thapa
on 13 Jun 2020
You can get help from the answer and code your own logic accordingly!!
Kumar Shubham
on 12 Jul 2020
Edited: Kumar Shubham
on 12 Jul 2020
function matrix = sparse2matrix(cellvec)
%creates matrix of req. size.
matrix=zeros(cellvec{1});
%allots assigned scalar value to all elements.
matrix(:)=deal(cellvec{2});
%used loop to maipulate matrix for result.
%use breakpoints to see approach to result step by step .
for ii = 3:length(cellvec)
matrix(cellvec{ii}(1,1),cellvec{ii}(1,2))=cellvec{ii}(1,3);
end
1 Comment
Walter Roberson
on 12 Jul 2020
Why are you using deal? Are you expecting that cellvec{2} will expand to multiple comma-separated elements? That is not going to happen with a scalar index like {2}
If you are wanting to copy the one value expectd in cellvec{2} to all elements on the left, then you do not need deal() .
Ishani Uthpala
on 1 Aug 2020
function matrix=sparse2matrix(v)
matrix=v{1,2}*ones(v{1,1}(1,1),v{1,1}(1,2));
y=length(v);
for x=3:y
matrix(v{1,x}(1,1),v{1,x}(1,2))=v{1,x}(1,3);
x=x+1;
end
matrix;
end
2 Comments
Ishani Uthpala
on 1 Aug 2020
I think this will helpfull for you
Walter Roberson
on 1 Aug 2020
What is the purpose of your line
x=x+1;
??
What is the purpose of your line
matrix;
??
sushmanth pulavarthi
on 3 Aug 2020
function matrix=sparse2matrix(v)
rows=v{1,1}(1);columns=v{1,1}(2); %extracting total no.of rows and columns for sprase matrix
magnitude=v{2}; %extracting the default value
m=magnitude*ones(rows,columns);
for i=3:length(v) %creating the loop foor changing the values other than default
r=v{i}(1);
c=v{i}(2);
m(r,c)=v{i}(3);
end
matrix=m;
end
%this works for any no.of elements
A.H.M.Shahidul Islam
on 6 Aug 2020
% 100% accurate
function matrix=sparse2matrix(m)
m=cell(m);
r=m{1}(1);c=m{1}(2);dv=m{2};
ss=size(m);
matrix=sparse(r,c)+dv;
q=ss(1,2);
for ii=3:q
matrix(m{ii}(1),m{ii}(2))=m{ii}(3);
end
1 Comment
Rik
on 6 Aug 2020
Thanks, now I can cheat on my homework without having to bother understanding the problem or the solution.
On a slightly more serious note: you forgot the closing end. Although you don't need it, it has become a lot more common, especially since it is possible to put functions in script files.
Ali Raza
on 9 Sep 2020
function matrix = sparse2matrix(x)
M = x{1};
m = ones(M(1),M(2)) * x{2};
[~,len] = size(x);
if len == 3
i = 3;
m(x{i}(1),x{i}(2)) = x{i}(3);
else
for i = 3:len
m(x{i}(1),x{i}(2)) = x{i}(3);
end
end
matrix = m;
end
1 Comment
Walter Roberson
on 9 Sep 2020
What is your reason for treating len == 3 differently ?
function matrix = sparse2matrix(a)
asize=length(a);
r = a{1}(1,1);
c = a{1}(1,2);
z = zeros(r,c)
z(:)= a{2};
if asize<=2
matrix =z
return
end
for jj=3:asize
r1 = a{jj}(1,1);
c1 = a{jj}(1,2);
n1 = a{jj}(1,3);
z(r1,c1)=n1
end
matrix =z
Abdul Quadir Khan
on 6 Nov 2020
function matrix = sparse2matrix (cellvec)
m = cellvec{1}(1,1);
n = cellvec{1}(1,2);
defult = ones(m,n) .* cellvec{1,2};
for i= 3:length(cellvec)
r1 = cellvec{i}(1,1);
c1 = cellvec{i}(1,2);
defult(r1,c1) = cellvec{i}(1,3);
end
matrix = defult;
end
zehra ülgen
on 12 Nov 2020
Here is another solution..
function m = sparse2matrix(a)
[t c] = size(a);
m = zeros(a{1,1});
[x y] = size(m);
for ii = 1:x;
for jj = 1:y;
m(ii,jj) = a{1,2};
end
end
for i = 3:c;
v = a(1,i);
m(v{1,1}(1,1),v{1,1}(1,2)) = v{1,1}(1,3);
end
Alberto Gil
on 29 Dec 2020
Edited: Alberto Gil
on 29 Dec 2020
Hello people,
What do you think about this code?
function matrix=sparse2matrix(cll)
if iscell(cll)==1
% Declare values, cs=size of the array; cdn=the nominal value; N=greatest value;
cs=cll{1,1}; cdn=cll{1,2}; N=size(cll,2);
% Create the matrix with the nominal value and the size.
cm=ones(cs)*cdn;
for n=3:N;
cxdn=cll{1,n};
% Select the values of the input values.
cm(cxdn(1,1), cxdn(1,2))=cxdn(1,3);
end
matrix= cm;
else
error('The input must be a cell class');
end
end
1 Comment
Walter Roberson
on 30 Dec 2020
The question does not seem to require that you verify that the input is a cell.
xin yi leow
on 19 Jan 2021
function matrix=sparse2matrix(cellx)
matrix=zeros(cellx{1});
matrix(:,:)=cellx{2};
for ii=3:length(cellx)
num=cellx{ii};
matrix(num(1),num(2))=num(3);
end
end
1 Comment
Rik
on 19 Jan 2021
What does this answer add? What does it teach? Why should it not be deleted?
Minh Nguyen
on 27 Mar 2021
Edited: Minh Nguyen
on 27 Mar 2021
my idea about this
function matrix = sparse2matrix(ABC)
r = ABC{1}(1);
c = ABC{1}(2);
B = zeros(r,c); %make a zero matrix
B(1:end) = ABC{2}; % the sparse matrix with the second element
for i = 3:length(ABC) % and adding
a1 = ABC{i}(1,1);
a2 = ABC{i}(1,2);
B(a1,a2) = ABC{i}(1,3);
end
matrix = B;
end
Blaze Shah
on 13 Sep 2021
Edited: Walter Roberson
on 13 Sep 2021
function matrix = sparse2matrix(cellvec)
jj = cell2mat(cellvec);
m = jj(3)*ones(jj(1,[1,2]));
n = 4;
while n<=length(jj)
m(jj(n),jj(n+1)) = jj(n+2);
n = n+3;
end
matrix = m;
Sumanth Bayya
on 19 Oct 2021
Edited: Sumanth Bayya
on 19 Oct 2021
function M = sparse2matrix(cellvec)
sz = cellvec{1};
val = cellvec{2};
M = val*ones(sz);
for i = 3:length(cellvec)
el = cellvec{i};
M(el(1), el(2)) = el(3);
end
end
Ujwal Dhakal
on 7 Jan 2022
function matrix = sparse2matrix (cellvec)
[a b] = size(cellvec);% stores the number of cell elements in b whereas a is always 1 as cellvec is a vector
a = cellvec{1,1};% is size of the matrix that loads into a vector a
default_element=cellvec{1,2};
%preallocating the matrix to be of size m*n with all elements default
for i=1:a(1)%a(1) is the no of rows in the matrix
for j=1:a(2) %a(2) is the no of columns in the matrix
matrix(i,j)=cellvec{1,2};
end
end%matrix is generated with all elements set to default value
for ii=3:b%this loop runs from 3 to no of elements in cell vec
matrix(cellvec{1,ii}(1,1),cellvec{1,ii}(1,2))=cellvec{1,ii}(1,3);
end
昱安 朱
on 11 Mar 2023
function matrix=sparse2matrix(cellvec)
matrix=cellvec{2}*ones(cellvec{1,1});
for ii=3:length(cellvec)
matrix(cellvec{ii}(1),cellvec{ii}(2))=cellvec{ii}(3);
end
abdul kabeer
on 14 Jun 2023
I solve it this way but dont know if this can be any shorter:
function [matrix]=sparse2matrix(v)
matrix = zeros(v{1}(1),v{1}(2))+v{2};
for i = 3:length(v)
matrix(v{i}(1),v{i}(2)) = v{i}(3);
end
Chaohua
on 3 Jul 2024
function matrix = sparse2matrix(A)
matrix_m = ones(A{1});
matrix_m = A{2} * matrix_m;
for i = 3:length(A)
r = A{i}(1);
c = A{i}(2);
matrix_m(r,c) = A{i}(3);
end
matrix = matrix_m;
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