Find lower query points compared to the Reference vector

3 views (last 30 days)
Hi all, I have two vectors, one is "Beg_Data" which has 19 values and I have another reference vector "Beg_In_Ex" which contains 1239 values (Data attached). I am computing a new vector "End_Cycle" same size (19 values) that of "Beg_Data" vector based on the nearest neighbour search. I would like to achieve the results of "End_Cycle" values lower than that of corresponding values that of "Beg_Data". However, using the method that I have attempted I found some values are always higher than that of the "Beg_Data" values. As you can see I want the difference to be always positive (End_Cycle<Beg_Data). Any help in this regard is highly appreciated.
load data.mat;
End_Cycle = dsearchn(Beg_In_Ex',Beg_Data);
End_Cycle = Beg_In_Ex(End_Cycle)';
Start_Stop = [End_Cycle Beg_Data]
Start_Stop = 19×2
1.0e+06 * 0.0746 0.0761 0.2064 0.2047 0.2327 0.2346 0.4144 0.4130 0.5276 0.5263 0.6324 0.6329 0.8096 0.8088 0.9534 0.9518 0.9722 0.9702 0.9777 0.9760
Difference = Start_Stop(:,2)-Start_Stop(:,1)
Difference = 19×1
1.0e+03 * 1.4242 -1.6832 1.9540 -1.3347 -1.3141 0.4402 -0.7642 -1.6077 -2.0212 -1.6784
  3 Comments
Voss
Voss on 7 Aug 2022
Just change the definition of idx(ii):
idx(ii) = find(Beg_In_Ex >= Beg_Data(ii),1);
Ganesh Naik
Ganesh Naik on 8 Aug 2022
Dear Voss, thanks, this is perfect and it works.
Kind regards

Sign in to comment.

Accepted Answer

Voss
Voss on 6 Aug 2022
load data.mat;
idx = zeros(size(Beg_Data));
for ii = 1:numel(Beg_Data)
idx(ii) = find(Beg_In_Ex <= Beg_Data(ii),1,'last');
end
End_Cycle = Beg_In_Ex(idx).';
Start_Stop = [End_Cycle Beg_Data]
Start_Stop = 19×2
1.0e+06 * 0.0746 0.0761 0.2016 0.2047 0.2327 0.2346 0.4108 0.4130 0.5245 0.5263 0.6324 0.6329 0.8071 0.8088 0.9495 0.9518 0.9676 0.9702 0.9732 0.9760
Difference = Start_Stop(:,2)-Start_Stop(:,1)
Difference = 19×1
1.0e+03 * 1.4242 3.0948 1.9540 2.2663 1.7939 0.4402 1.6808 2.2943 2.5998 2.8346

More Answers (0)

Categories

Find more on Spatial Search in Help Center and File Exchange

Products


Release

R2021a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!