Problem 963. We love vectorized solutions. Problem 1 : remove the row average.
Given a 2-d matrix, remove the row average from each row. Your solution MUST be vectorized. The solution will be tested for accuracy AND speed. Any for loops will make the solution too slow to pass the speed test.
Example:
a = [ 1 2 ; 3 5 ]; b = remove_average_vectorized(a); % b is [ -0.5 0.5 ; -1 1 ];
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The solution with for is able to solve this problem currently within time. When requesting performance, you should measure the time dynamically, or else you will be forced to adjust the threshold as the years go by and computers evolve.
You should make the timing test dynamic. The current optimally vectorized solution is about 7 or 8 times faster than the default looped solution. You could add a test that confirms at least a 75% time reduction.
This was pretty easy...
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Indexing I
- 27 Problems
- 236 Finishers
- Piecewise linear interpolation
- Longest run of consecutive numbers
- Construct an index vector from two input vectors in vectorized fashion
- Getting the indices from a matrix
- First non-zero element in each column
- Return unique values without sorting
- Return a list sorted by number of consecutive occurrences
- intersection of matrices
- Generate N equally spaced intervals between -L and L
- Check if number exists in vector
- Replicate elements in vectors
- We love vectorized solutions. Problem 1 : remove the row average.
- intersection of matrices
- Generate N equally spaced intervals between -L and L
- Create logical matrix with a specific row and column sums
- Return a list sorted by number of consecutive occurrences
- Replicate elements in vectors
- Get the elements of diagonal and antidiagonal for any m-by-n matrix
- Getting the indices from a matrix
- Check if number exists in vector
- Fill a zeros matrix
- Set the array elements whose value is 13 to 0
- Construct an index vector from two input vectors in vectorized fashion
- Joining Ranges
- Remove the two elements next to NaN value
- Reindex a vector
- Longest run of consecutive numbers
- Put two time series onto the same time basis
- Getting logical indexes
- Matrix indexing with two vectors of indices
- middleAsColumn: Return all but first and last element as a column vector
- Return elements unique to either input
- "Low : High - Low : High - Turn around " -- Create a subindices vector
- Return unique values without sorting
- Find the largest value in the 3D matrix
- Specific Element Count
- First non-zero element in each column
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