Update InputEqn.m#6
Open
GinaSierra wants to merge 1 commit intonasa:developnasa/PrognosticsModelLibrary:developfrom
Open
Update InputEqn.m#6GinaSierra wants to merge 1 commit intonasa:developnasa/PrognosticsModelLibrary:developfrom
GinaSierra wants to merge 1 commit intonasa:developnasa/PrognosticsModelLibrary:developfrom
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
This function uses a segment-based matrix of size (n_segments)x(n_samples) which is constructed in the first call to InputEqn (or when inputParameters changes). Precomputing this matrix provides a decrease in the prediction processing times because then it is not recomputed at each call to InputEqn. However, because it is necessary to find the indexes for each sample, the processing time still is higher than the function using the time-based matrix where instead of looking for the indexes in the matrix, uses the input time as an index.
The figure shows the prediction processing times using the original InputEqn function, the time-based matrix function and the extension of the original function. Although the processing times with the modified segment-based matrix function are higher than the processing times with the time-based matrix function, the modified segment-based matrix function provides a reasonable tradeoff between processing time and memory resources.
