I ran this exact code earlier this week and it took awhile, but it finally worked. Now when I try and run it, it gives me an error. Can anyone figure out what would be going wrong? Thankss!
for LR= 100:250;
for l= 1:150;
lmda1=(a1 + (sqrt((a1^2)+4*a0)))/2;
lmda2=(a1 - (sqrt((a1^2)+4*a0)))/2;
if abs(.556 - theta)<0.001
disp('V LR h L')
H=[V LR h L]
Q= [a1 a0]
Subject:How to Get Rid of Orange Warnings From:ImageAnalyst Date: 19 Mar, 2010 01:15:03 Message: 2 of 3
"Matlab-Challenged Miller" <email@example.com> wrote in message <firstname.lastname@example.org>...
> I ran this exact code earlier this week and it took awhile, but it finally worked. Now when I try and run it, it gives me an error. Can anyone figure out what would be going wrong? Thankss!
Your warnings are probably due to the way you attempt to display on the screen all the cases where abs(.556-theta)<0.001 is true using the four lines:
disp('V LR h L')
H=[V LR h L]
Q= [a1 a0]
There are much more efficient ways of outputting such data on the screen using, say, fprintf. You could probably squeeze each case into one line rather than the twelve you utilize here. However, there appear to be many millions of cases where this condition comes true in your code. Matlab is very likely telling you it objects to having its screen memory buffers filled up with so much voluminous data. How are you going to deal with that many displayed results, even using fprintf? You will never have time to read them in their entirety, even supposing that Matlab were to save them all.
I would suggest you store whatever results you want to save in certain arrays and study these arrays later at your leisure in some more efficient manner with other matlab code than trying to look at each case. You surely don't want to have to individually read many millions of figures. Either that or greatly tighten up your 0.001 tolerance in the above inequality so as to produce many fewer results.
As for execution time, there are a number of inefficiencies in the code. It makes no sense to compute exp(lmda2) and sqrt((a1^2)+4*a0)) each twice at each pass rather than just once. In the for-loops for j and l, you can use V and L directly and avoid the following two lines altogether:
Just say "for V = .01:.0001:.05" and "for L = .01:.01:1.5". Also you might be able to save time by vectorizing the code to avoid the four nested for-loops altogether, although that is not certain.
You can think of your watch list as threads that you have bookmarked.
You can add tags, authors, threads, and even search results to your watch list. This way you can easily keep track of topics that you're interested in. To view your watch list, click on the "My Newsreader" link.
To add items to your watch list, click the "add to watch list" link at the bottom of any page.
How do I add an item to my watch list?
To add search criteria to your watch list, search for the desired term in the search box. Click on the "Add this search to my watch list" link on the search results page.
You can also add a tag to your watch list by searching for the tag with the directive "tag:tag_name" where tag_name is the name of the tag you would like to watch.
To add an author to your watch list, go to the author's profile page and click on the "Add this author to my watch list" link at the top of the page. You can also add an author to your watch list by going to a thread that the author has posted to and clicking on the "Add this author to my watch list" link. You will be notified whenever the author makes a post.
To add a thread to your watch list, go to the thread page and click the "Add this thread to my watch list" link at the top of the page.
The newsgroups are a worldwide forum that is open to everyone. Newsgroups are used to discuss a huge range of topics, make announcements, and trade files.
Discussions are threaded, or grouped in a way that allows you to read a posted message and all of its replies in chronological order. This makes it easy to follow the thread of the conversation, and to see what’s already been said before you post your own reply or make a new posting.
Newsgroup content is distributed by servers hosted by various organizations on the Internet. Messages are exchanged and managed using open-standard protocols. No single entity “owns” the newsgroups.
There are thousands of newsgroups, each addressing a single topic or area of interest. The MATLAB Central Newsreader posts and displays messages in the comp.soft-sys.matlab newsgroup.
How do I read or post to the newsgroups?
You can use the integrated newsreader at the MATLAB Central website to read and post messages in this newsgroup. MATLAB Central is hosted by MathWorks.
Messages posted through the MATLAB Central Newsreader are seen by everyone using the newsgroups, regardless of how they access the newsgroups. There are several advantages to using MATLAB Central.
Your MATLAB Central account is tied to your MathWorks Account for easy access.
Use the Email Address of Your Choice
The MATLAB Central Newsreader allows you to define an alternative email address as your posting address, avoiding clutter in your primary mailbox and reducing spam.
Most newsgroup spam is filtered out by the MATLAB Central Newsreader.
Messages can be tagged with a relevant label by any signed-in user. Tags can be used as keywords to find particular files of interest, or as a way to categorize your bookmarked postings. You may choose to allow others to view your tags, and you can view or search others’ tags as well as those of the community at large. Tagging provides a way to see both the big trends and the smaller, more obscure ideas and applications.
Setting up watch lists allows you to be notified of updates made to postings selected by author, thread, or any search variable. Your watch list notifications can be sent by email (daily digest or immediate), displayed in My Newsreader, or sent via RSS feed.
Other ways to access the newsgroups
Use a newsreader through your school, employer, or internet service provider
Pay for newsgroup access from a commercial provider
Use Google Groups
Mathforum.org provides a newsreader with access to the comp.soft sys.matlab newsgroup