optimization

问题 We have a .NET application which our customers consider too large for mass deployment and we would like to understand what contributes to our memory footprint and is it possible to do any better without completely abandoning .NET and wpf. We are interested in improving both Total Size and the Private Working Set (pws). In this question I just want to look at pws. VMMap typically reports a pws of 105 mb. Of this 11mb is image, 31mb is heap, 52 mb is managed heap, 7 mb is private data and the

问题 We have a .NET application which our customers consider too large for mass deployment and we would like to understand what contributes to our memory footprint and is it possible to do any better without completely abandoning .NET and wpf. We are interested in improving both Total Size and the Private Working Set (pws). In this question I just want to look at pws. VMMap typically reports a pws of 105 mb. Of this 11mb is image, 31mb is heap, 52 mb is managed heap, 7 mb is private data and the

问题 Is there any way to access the cost function on a per-iteration basis with scipy.minimize without using the callback and re-executing the cost function? options.disp seems to be intended to do this, but only causes the optimizer to print the termination message. It would be fine to print it to stdout and use contextlib.redirect_stdout with io.StringIO to gather it and parse through the data after, but I can't find a way to efficiently access the cost function on each iteration. 回答1: The

问题 I wrote a simple benchmark in order to find out if bounds check can be eliminated when the array gets computed via bitwise and. This is basically what nearly all hash tables do: They compute h & (table.length - 1) as an index into the table , where h is the hashCode or a derived value. The results shows that the bounds check don't get eliminated. The idea of my benchmark is pretty simple: Compute two values i and j , where both are guaranteed to be valid array indexes. i is the loop counter.

问题 When two audio's are played at the same time...the sound is canceling out. How do I fix this weird phenomenon? I have some code where there is audio on button click and audio in ten second intervals (in a background service). I have the following code to stop the button audio when the ten second interval plays, and it works fine: public static void myPop(Context context){ AudioManager manager = (AudioManager)context.getSystemService(Context.AUDIO_SERVICE); if(!manager.isMusicActive()) { /

问题 I have the following OPL code and need to implement it in docplex (python), i'm newbie in that field... using CP; dvar interval I1 in 0..20; dvar interval I2 in 0..20; dvar interval I3 in 0..20; dvar int over1; dvar int start1; dvar int end1; dvar interval artificialInterval; maximize over1; subject to { over1==overlapLength(I1,I2); start1==maxl(startOf(I1),startOf(I2)); end1==minl(endOf(I1),endOf(I2)); startOf(artificialInterval)==start1; endOf(artificialInterval)==end1; over1==overlapLength

问题 I have a mysql query: SELECT my_table.* WHERE SOUNDEX(my_col)='whatever' OR SUBSTR(SOUNDEX(my_col),4)='whatever' ORDER BY SUBSTR(SOUNDEX(my_col),4)='whatever',SOUNDEX(my_col)='whatever' How many times will the substring function and soundex functions will actually be called? I mean for exactly same inputs will mysql cache the results over the span of one query? If not, how can I make the change in the query so that each function is called minimum times possible. 回答1: MySQL would call this

问题 I have not used much pointers to member functions but I think that found some dangerous scenarios when using such pointers. The problem comes when compiler decides not to assign address to function, because of some optimization. It happened with VS 2015 even in Debug, x86 (with disabled Optimization - /Od). I am refactoring one old system, moving some code in a common static library (common.lib) so to be able to be used from several projects. Even if not the best pattern, the old

问题 I have a JavaScript heap out of memory in my Node.js application. I'm trying to insert 408 000 data in MongoDB with one call. I have two loop. The first loop goes from 1 to 24 and the second (inside the first loop) from 1 to 17 000. These data are the result of a NetCDF file. I'm parsing data from this file, I'm building the Model Object and I insert these data in MongoDB. I see some posts on StackOverflow about this problem then I see than I can increase the node memory with --max_old_space

问题 I'm trying to create UVs @ runtime, I'm using a BOX type UVs (similar to BOX UVW in 3ds max) and based my calculation on the face orientation. I know it's not a good option to create it a runtime but I have no choice :( it's saved after calculation, so I made it once. BUT I take 40 seconds for a 30000 Vertices... too long Is there any optimization in my code that can be made? . Here is my code feel free to use if you have <5000 vertices Mesh: public static void CreateUV(ref Mesh mesh) { int i