find second minimum in a row in matlab without sorting
Mostrar comentarios más antiguos
find second minimum in a row in matlab without sorting.
excluding zero
example A = [ 3.5 2 1.6 1.456 0 1.9 2.6 ; 3.8 2.6 3.9 0 6 1.564 0 ]
5 comentarios
the cyclist
el 16 de Oct. de 2019
Sounds like homework. What have you tried?
Nitin Sapre
el 17 de Oct. de 2019
Adam Danz
el 17 de Oct. de 2019
Why avoid sorting?
Przemysław Majewski
hace alrededor de 10 horas
Coz finding min costs O(n) and sorting is n*log(n)?
@Przemysław Majewski The O(n) versus O(n*log(n)) argument is mostly an academic observation here. In MATLAB, performance is more dominated by memory allocation, copying, temporary array creation, cache effects, and whether the work is being done by optimized built-in functions. An indexing-heavy "O(n)" solution that repeatedly constructs index vectors and copies data can easily be slower, more memory-hungry, and much harder to maintain than a simple call to sort or mink. Big-O tells us the asymptotic growth rate of an algorithm, but it says nothing about the cost of all that data movement in a real computer. For a problem of this size, code clarity and use of well-optimized MATLAB built-ins are usually more important than shaving a log(n) factor off the theoretical complexity.
Respuesta aceptada
Más respuestas (2)
Ekaterina Sadovaya
el 18 de Oct. de 2019
You can exclude the first minimum. So, for example for the first row it will be
A1 = A(1,:);
[first_min_value, index] = min(A1);
A1(index) = [];
second_min_value = min(A1);
7 comentarios
...or a variation of (hint)
max(mink(A,2))
Nitin Sapre
el 18 de Oct. de 2019
Prior to searching for the 2nd min, you could replace all 0s with NaN or Inf. I still think this is homework since there's no explanation as to why sorting is not allowed so I'll only make that suggestion and you can figure out the rest.
hint: use ==
Nitin Sapre
el 18 de Oct. de 2019
Editada: Walter Roberson
hace alrededor de 5 horas
Adam Danz
el 18 de Oct. de 2019
No need for a loop.
Here's a similar example.
x = randi(20,8,8) %Random integers between 1 and 20
% Replace all values greater than the mean.
x(x > mean(x(:))) = NaN;
Nitin Sapre
el 19 de Oct. de 2019
Nitin Sapre
el 19 de Oct. de 2019
Editada: Walter Roberson
hace alrededor de 5 horas
Categorías
Más información sobre Logical en Centro de ayuda y File Exchange.
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!