I am stuck trying to figure this out. I have an array:
a = [ 1 1 1 2 1 1 1 3 2 1 1 2 1 1 1]
I want to add the values in the array so that it equal to 10. Once the added value reaches 10, I want the array to start adding the value again until it reaches 10. There is two problem that I face here,
1) How can I add the array so that the sum = 10 everytime. Notice that in the array, there is 3. If I add all the value before 3, I get 8 and I only need 2 from 3. I need to make sure that the remainder, which is 1 is added to the next array to get the sum 10.
2) How do I break the loop once it reaches 10 and ask it continue the summation to next value to get another 10?
I created a loop but it only works for the first part of the array. I have no idea how to make it continue. The code is as follow:
a = [ 1 1 1 2 1 1 1 3 2 1 1 2 1 1 1];
c = 0;
for i = 1:length(a)
while c < 10
c = c + a(i);
break
end
end
Please help. Thank you
This can be done using cumsum, mod, diff and find as follows:
temp = cumsum(a);
required = find([0 diff(mod(temp,10))] <0)
cumsum returns the cumulative sum which then is rescaled using mod. diff determines where the sum gets greater than or equal to 10 and finally find determines those indexes.
Edit: Above solution works if a doesn't have negative elements. If a can have negative elements then:
temp1=cumsum(a); %Commulative Sum
temp2=[0 diff(mod(temp1,10))];%Indexes where sum >=10 (indicated by negative values)
temp2(temp1<0)=0; %Removing false indexes which may come if `a` has -ve values
required = find(temp2 <0) %Required indexes
This should do what you are trying. It displays the index at which each time the sum equals 10. Check this with your testcases. rem stores the residual sum in each iteration which is carried forward in the next iteration. The rest of the code is similar to what you were doing.
a = [ 1 1 1 2 1 1 1 3 2 1 1 2 1 1 1];
c = 0;
rem = 0;
i = 1;
length(a);
while(i <= length(a))
c = rem;
while (c < 10 && i <= length(a))
c = c + a(i);
i = i + 1;
if(c >= 10)
rem = c - 10;
break
end
end
if(c >= 10)
disp(i-1)
end
use cumsum instead of your while loop:
a = [ 1 1 1 2 1 1 1 3 2 1 1 2 1 1 1];
a_ = a;
endidxlist = false(size(a));
startidxlist = false(size(a));
startidxlist(1) = true;
while any(a_) && (sum(a_) >= 10)
b = cumsum(a_);
idx = find(b >= 10,1);
endidxlist(idx) = true;
% move residual to the next sequence
a_(idx) = b(idx) - 10;
if a_(idx) > 0
startidxlist(idx) = idx;
elseif (idx+1) <= numel(a)
startidxlist(idx+1) = true;
end
a_(1:idx-1) = 0;
end
if (idx+1) <= numel(a)
startidxlist(idx+1) = false;
end
endidxlist gives you the end-indexes of each sequence and startidxlist the start-indexes
Related
I have a 1 by 1000 (1 row by 1000 columns) matrix that contain only 0 and 1 as their elements. How can I find how many times 1 is repeated 3 times consecutively.
If there are more than 3 ones then it is necessary to reset the counting. So 4 would be 3+1 and it counts as only one instance of 3 consecutive 1s but 6 would be 3+3 so it counts as two instances of having 3 consecutive 1s.
This approach finds the differences between when A goes from 0 to 1 (rising edge) and from 1 to 0 (falling edge). This gives the lengths of consecutive 1s in each block. Then divide these numbers by 3 and round down to get the number of runs of 3.
Padding A with a 0 at the start and end just ensures we have a rising edge at the start if A starts with a 1, and we have a falling edge at the end if A ends with a 1.
A = round(rand(1,1000));
% padding with a 0 at the start and end will make this simpler
B = [0,A,0];
rising_edges = ~B(1:end-1) & B(2:end);
falling_edges = B(1:end-1) & ~B(2:end);
lengths_of_ones = find(falling_edges) - find(rising_edges);
N = sum(floor(lengths_of_ones / 3));
Or in a much less readable 2 lines:
A = round(rand(1,1000));
B = [0,A,0];
N = sum(floor((find(B(1:end-1) & ~B(2:end)) - find(~B(1:end-1) & B(2:end))) / 3));
You can define your custom functions like below
v = randi([0,1],1,1000);
% get runs in cell array
function C = runs(v)
C{1} = v(1);
for k = 2:length(v)
if v(k) == C{end}(end)
C{end} = [C{end},v(k)];
else
C{end+1} = v(k);
end
end
end
% count times of 3 consecutive 1s
function y = count(x)
if all(x)
y = floor(length(x)/3);
else
y = 0;
end
end
sum(cellfun(#count,runs(v)))
Here is another vectorized way:
% input
n = 3;
a = [1 1 1 1 0 0 1 1 1 0 0 0 1 1 1 1 1 0 1 1 1 1 1 1 1]
% x x x x x = 5
% output
a0 = [a 0];
b = cumsum( a0 ) % cumsum
c = diff( [0 b( ~( diff(a0) + 1 ) ) ] ) % number of ones within group
countsOf3 = sum( floor( c/n ) ) % groups of 3
You like it messy? Here is a one-liner:
countsOf3 = sum(floor(diff([0 getfield(cumsum([a 0]),{~(diff([a 0])+1)})])/n))
I have a binary array that represents object detection for individual frames of a video. I'm trying to determine from this vector how many separate events there are. I need to figure out a way to count the number of clusters of 1's in the binary array.
What's the easiest way using Matlab functions to determine how many individual groups of consecutive 1's there are that are larger than say, N=5?
For example for the array:
1 1 0 0 0 1 1 1 1 1 1 0 0 1 1 1 1 1 1 1 1 1 0 0 1 0 0 1 I would like the output to be 2, because there are 2 groups of 1's longer than N.
I need an efficient way to do this rather than just looping through because I have to run this on about 20 thousand short videos. Kind of hoping there's a built in function for this purpose that I've missed, but any solution is welcome.
The ugly version of this code that I'm trying to speed up looks like this:
% Count Events
EventCount = 0;
subcount = 0;
N = 5;
for e=1:length(events) % events is a binary array
if (events(e) == 1) && (subcount == 0)
subcount = 1;
elseif events(e) == 1
subcount = subcount + 1;
elseif (events(e) == 0) && (subcount > N)
EventCount = EventCount + 1;
subcount = 0;
elseif (events(e) == 0) && (subcount <= N)
subcount = 0;
else
disp('Oops, should not get here!');
end
end
disp(EventCount);
A one linear solution:
sum(accumarray(1+cumsum([0 diff( events)==1].'),events.')>N)
Compute starting index of blocks of 1s:
idx = diff(events.')==1;
Assign a category number to each group:
catnum=1+cumsum([0 idx].');
Count number of 1s in each category
count = accumarray(catnum,events);
count how many groups of 1's are longer than N
sum(count>N)
I have an array (say of 1s and 0s) and I want to find the index, i, for the first location where 1 appears n times in a row.
For example,
x = [0 0 1 0 1 1 1 0 0 0] ;
i = 5, for n = 3, as this is the first time '1' appears three times in a row.
Note: I want to find where 1 appears n times in a row so
i = find(x,n,'first');
is incorrect as this would give me the index of the first n 1s.
It is essentially a string search? eg findstr but with a vector.
You can do it with convolution as follows:
x = [0 0 1 0 1 1 1 0 0 0];
N = 3;
result = find(conv(x, ones(1,N), 'valid')==N, 1)
How it works
Convolve x with a vector of N ones and find the first time the result equals N. Convolution is computed with the 'valid' flag to avoid edge effects and thus obtain the correct value for the index.
Another answer that I have is to generate a buffer matrix where each row of this matrix is a neighbourhood of overlapping n elements of the array. Once you create this, index into your array and find the first row that has all 1s:
x = [0 0 1 0 1 1 1 0 0 0]; %// Example data
n = 3; %// How many times we look for duplication
%// Solution
ind = bsxfun(#plus, (1:numel(x)-n+1).', 0:n-1); %'
out = find(all(x(ind),2), 1);
The first line is a bit tricky. We use bsxfun to generate a matrix of size m x n where m is the total number of overlapping neighbourhoods while n is the size of the window you are searching for. This generates a matrix where the first row is enumerated from 1 to n, the second row is enumerated from 2 to n+1, up until the very end which is from numel(x)-n+1 to numel(x). Given n = 3, we have:
>> ind
ind =
1 2 3
2 3 4
3 4 5
4 5 6
5 6 7
6 7 8
7 8 9
8 9 10
These are indices which we will use to index into our array x, and for your example it generates the following buffer matrix when we directly index into x:
>> x = [0 0 1 0 1 1 1 0 0 0];
>> x(ind)
ans =
0 0 1
0 1 0
1 0 1
0 1 1
1 1 1
1 1 0
1 0 0
0 0 0
Each row is an overlapping neighbourhood of n elements. We finally end by searching for the first row that gives us all 1s. This is done by using all and searching over every row independently with the 2 as the second parameter. all produces true if every element in a row is non-zero, or 1 in our case. We then combine with find to determine the first non-zero location that satisfies this constraint... and so:
>> out = find(all(x(ind), 2), 1)
out =
5
This tells us that the fifth location of x is where the beginning of this duplication occurs n times.
Based on Rayryeng's approach you can loop this as well. This will definitely be slower for short array sizes, but for very large array sizes this doesn't calculate every possibility, but stops as soon as the first match is found and thus will be faster. You could even use an if statement based on the initial array length to choose whether to use the bsxfun or the for loop. Note also that for loops are rather fast since the latest MATLAB engine update.
x = [0 0 1 0 1 1 1 0 0 0]; %// Example data
n = 3; %// How many times we look for duplication
for idx = 1:numel(x)-n
if all(x(idx:idx+n-1))
break
end
end
Additionally, this can be used to find the a first occurrences:
x = [0 0 1 0 1 1 1 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 1 0 1 1 1 0 0 0]; %// Example data
n = 3; %// How many times we look for duplication
a = 2; %// number of desired matches
collect(1,a)=0; %// initialise output
kk = 1; %// initialise counter
for idx = 1:numel(x)-n
if all(x(idx:idx+n-1))
collect(kk) = idx;
if kk == a
break
end
kk = kk+1;
end
end
Which does the same but shuts down after a matches have been found. Again, this approach is only useful if your array is large.
Seeing you commented whether you can find the last occurrence: yes. Same trick as before, just run the loop backwards:
for idx = numel(x)-n:-1:1
if all(x(idx:idx+n-1))
break
end
end
One possibility with looping:
i = 0;
n = 3;
for idx = n : length(x)
idx_true = 1;
for sub_idx = (idx - n + 1) : idx
idx_true = idx_true & (x(sub_idx));
end
if(idx_true)
i = idx - n + 1;
break
end
end
if (i == 0)
disp('No index found.')
else
disp(i)
end
I need to find the longest interval of 1's in a matrix, and the position of the first "1" in that interval.
For example if i have a matrix: [1 0 0 1 1 1 0 0 0 0 1 1 1 1 1 1 1 ]
I need to have both the length of 7 and that the first 1's position is 11.
Any suggestions on how to proceed would be appreciated.
Using this anwser as a basis, you can do as follows:
a = [1 0 0 1 1 1 0 0 0 0 1 1 1 1 1 1 1 ]
dsig = diff([0 a 0]);
startIndex = find(dsig > 0);
endIndex = find(dsig < 0) - 1;
duration = endIndex-startIndex+1;
duration
startIdx = startIndex(duration == max(duration))
endIdx = endIndex(duration == max(duration))
This outputs:
duration =
1 3 7
startIdx =
11
endIdx =
17
Please note, this probably needs double checking if it works for other cases than your example. Nevertheless, I think this is the way in the right directions. If not, in the linked anwser you can find more info and possibilities.
If there are multiple intervals of one of the same length, it will only give the position of the first interval.
A=round(rand(1,20)) %// test vector
[~,p2]=find(diff([0 A])==1); %// finds where a string of 1's starts
[~,p3]=find(diff([A 0])==-1); %// finds where a string of 1's ends
le=p3-p2+1; %// length of each interval of 1's
ML=max(le); %// length of longest interval
ML %// display ML
p2(le==ML) %// find where strings of maximum length begin (per Marcin's answer)
I have thought of a brute force approach;
clc; clear all; close all;
A= [1 0 0 1 1 1 0 0 0 0 1 1 1 1 1 1 1 ];
index = 1;
globalCount = 0;
count = 0;
flag = 0; %// A flag to keep if the previous encounter was 0 or 1
for i = 1 : length(A)
if A(i) == 1
count = count + 1;
if flag == 0
index = i
flag = 1;
end
end
if A(i) == 0 || i == length(A)
if count > globalCount
globalCount = count;
end
flag = 0;
count = 0;
end
end
Scenario :
If I have an array with 4 loads (a1 a2 a3 a4)
a=[a1 a2 a3 a4] (locations of these loads must be fixed)
a=[1 2 3 3]
I would like to try and increase all values in the array to 3.
Note : the array a is not fixed, and can have any value from 0:3
Constraints :
There is a priority array that cannot be violated
Number of total increments is limited to 3
Given :
Priority array v=[1 3 2 1] -- (1 is highest priority, and 3 is lowest priority).
Note : the array v is not fixed, and can have any value from 0:3
Using this priority array :
a(1,1)=highest priority
a(1,4)=2nd highest priority
a(1,3)=3rd priority
a(1,2)=lowest priority
Implementation, my trial in pseudo code :
a=[1 2 3 3]
v=[1 3 2 1]
count=3
Check highest priority : a(1,1)
increment by 1
decrement count by 1
count = 2
still less than 3 ? if yes, then increment again until a(1,1)<= 3 AND count >=0
Change highest priority to 5 (so that min(v) will not pick it up)
ans : a=[3 2 3 3] ; v=[5 2 3 3] ; count = 1
Check highest priority : a(1,3)
value >= 3
Change highest priority to 5 (so that min(v) will not pick it up)
skip
ans : a=[3 2 3 3] ; v=[5 2 5 3] ; count = 1
Check highest priority : a(1,4)
value >=3
Change highest priority to 5 (so that min(v) will not pick it up)
skip
ans : a=[3 2 3 3] ; v=[5 2 5 5] ; count = 1
Check highest priority : a(1,2)
increment by 1
decrement count by 1
count = 0
still less than 3 ? if yes, then increment again until a(1,1)<= 3 AND count >=0
Change highest priority to 5 (so that min(v) will not pick it up)
ans = [a1 a2 a3 a4] = [3 3 3 3]
Note : if a priority value = [1 1 1 1] is reached, then a is prioritised from left to right (I haven't found a better way to do this)
I hope this makes sense, and that my pseudo code shows what I'm trying to implement. Ask me if something is not clear.
You could do something like this
a = [1 2 3 3];
v = [1 3 2 1];
% Sort a in the order of priority v
[vSrt, indSrt] = sort(v);
a = a(indSrt);
nIncsRemaining = 3; % Total no. of increments allowed
target = 3; % Target value for each value in a
for curInd = 1:length(a)
% Difference from target
aDiff = target - a(curInd);
% Do we need to increment this value of a?
if aDiff > 0
% Increment by a maximum of nIncsRemaining
aDelta = min(aDiff, nIncsRemaining);
% Increment a and decrement no. of increments remaining by the
% same amount
a(curInd) = a(curInd) + aDelta;
nIncsRemaining = nIncsRemaining - aDelta;
end
% Have we done as much as we're allowed?
if nIncsRemaining == 0, break; end
end
The key step is the sorting of the priority array, and the sorting of a by the same indices. Then you can just loop through a, being confident that you're beginning with the highest priority.
If you require the same order as the input at output, then you can invert the sorting operation by doing
[~, indReSrt] = sort(indSrt);
a = a(indReSrt);
The array v was not modified in the first place, so you don't need to invert the sort on that array.
Here's what I came up with:
a = [1 2 3 3];
v = [1 3 2 1];
% Get priority vector - this converts v into the indices of a that are most important in descending order. This can also be preallocated for speed or stored in place if v is not important;
priority_vec = [];
for i = 0:3
% Get indices
priority_vec = horzcat(priority_vec,find(v == i));
end
% Loop over priority_vec
count = 3; % count is the number of additions you can make
for i = 1:4 % Loop over the indices of priority vec
priority_ind = priority_vec(i); % This is the current index of most importance
while(a(priority_ind) < 3 && count ~= 0) % Continue to add one while count is greater than 0 and the value at the priority index is less than three
a(priority_ind) = a(priority_ind) + 1;
count = count - 1;
end
end
Another version:
a = [1 2 3 3];
v = [1 3 2 1];
count = 3;
target = 3;
Sort a and v in priority order
[vSorted, order] = sort(v);
aSorted = a(order);
Find position that will cause count to equal 0
pos = find(cumsum(target - aSorted) >= count);
Update all values up until but not including pos, decrement count accordingly
count = count - sum(3 - aSorted(1:pos - 1));
vSorted(1:pos - 1) = 5;
aSorted(1:pos - 1) = target;
Update the value s at pos
aSorted(pos) = aSorted(pos) + count;
count = 0;
if aSorted(pos) == target
vSorted(pos) = 5;
end
Restore sort order
[~, invOrder] = sort(order);
a = aSorted(invOrder);
v = vSorted(invOrder);
If v is only used to determine the priority there is no need to update it.
If count may still be non-zero after all values of a have reached target some extra handling of that case is required as that will cause pos = find(...); to return an empty array.