What is changing in R2014b?

조회 수: 7(최근 30일)
Chad Greene
Chad Greene 2014년 8월 25일
편집: Sean de Wolski 2014년 10월 6일
Is there a published list of features that are changing with Matlab R2014b? I have been unable to install the pre-release, but I have received word that some of my FEX submissions do not work with R2014b. For example, I'd like to know what needs to be changed in my label function, and whether fixing it for R2014b will end up breaking it for previous versions.
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Sean de Wolski
Sean de Wolski 2014년 10월 3일
Now :)

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채택된 답변

Sean de Wolski
Sean de Wolski 2014년 8월 26일
Hi Chad,
First, one of the purposes of the prerelease is to provide you with an opportunity to test your code against up and coming changes as well as to provide feedback on what went well and what didn't. It's too bad you can't install the prerelease :(
Second, Star is right that the prerelease comes with an NDA so we can't talk about it. But I can answer your second question which is release agnostic. You can use verLessThan to make decisions about what code path to take. If for any release you need a switch mechanism (new features to take advantage of, incompatibilities, etc.) you can use this as the criterion
if verLessThan('matlab','8.4')
% <=R2014a
% >R2014a
Hope this helps.
PS. It's hot down here in Texas!
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Chad Greene
Chad Greene 2014년 8월 27일
Good to know, thanks!

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추가 답변(6개)

Chad Greene
Chad Greene 2014년 9월 23일

Daniel Shub
Daniel Shub 2014년 8월 27일
I received an email from TMW, which I think borders on spam, about some of the new functionality in R2014b. As I have not downloaded the prerelease and it was an unsolicited email that did not suggest the information should not be circulated, I am pretty sure this is not covered by any sort of NDA
· Call MATLAB from Python- You will find documentation on the MATLAB Engine for Python under the MATLAB API for Other Languages in Advanced Software Development. See MATLAB Engine for Python.
· Call Python functionality from MATLAB - You will find documentation on the MATLAB Interface to Python under Calling External Functions in Advanced Software Development. See Call Python Libraries.
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Star Strider
Star Strider 2014년 9월 15일
편집: Star Strider 2014년 9월 15일
Apparently, axis tick text rotation will be available: Label Rotation in MATLAB 2014.
set(gca, 'XTickLabelRotation', 45);
EDIT — The Answer I was referring to was removed, so I suspect it is confidential information and should not have been released.

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Sean de Wolski
Sean de Wolski 2014년 10월 3일
Chad, the change you have to make is that handles in R2014b are no longer numbers. Thus checking isnumeric of a handle will no longer work:
assert(isnumeric(h)==1,'Input handle(s) h must be numeric.')
assert(isempty(get(0,'children'))==0,'No current axes are open.')
Instead, check:
ishghandle(h) % this works in <14b too
And 0 has been replaced by groot to represent the root object but 0 still works.
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Sean de Wolski
Sean de Wolski 2014년 10월 6일
편집: Sean de Wolski 2014년 10월 6일
h will be a Line. A figure will be a, surprise(!), Figure. Using ishandle() or ishghandle() is the right way to test "handleness" in <14b too since pi is numeric and probably not an active handle.
h = plot(1:10)
h =
Line with properties:
Color: [0 0.4470 0.7410]
LineStyle: '-'
LineWidth: 0.5000
Marker: 'none'
MarkerSize: 6
MarkerFaceColor: 'none'
XData: [1 2 3 4 5 6 7 8 9 10]
YData: [1 2 3 4 5 6 7 8 9 10]
ZData: [1x0 double]
Show all properties

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Andrew Reibold
Andrew Reibold 2014년 8월 25일
Release notes can be found here
They are not yet available for 2014b.

Image Analyst
Image Analyst 2014년 8월 26일
Did you get an email about downloading the prerelease version? If so, do that and check it out yourself.
  댓글 수: 1
Chad Greene
Chad Greene 2014년 8월 26일
I did get the email, but installation does not work with the type of license my lab uses. I would expect the Mathworks to make it clear how these major changes will affect our codes, but it seems they're opting for surprise.

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Royi Avital
Royi Avital 2014년 10월 3일
MATLAB R2014b is out.
I'm so disappointed Mathworks does nothing to improve the language speed.
Moreover, they are still stuck with CUDA instead of moving on to OpenCL for the GPU support.
What are they waiting for?
Julia is much faster and gaining traction and its Toolboxes are improving by day.
Very Disappointing.


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