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Matlab training seminars – Zurich, 19-20 June 2017

Advanced Matlab training, Zurich 19-20 June 2017
Advanced Matlab training courses/seminars will be presented by me (Yair) in Zürich, Switzerland on 19-20 June, 2017:

  • June 19 (full day) – Object-oriented Matlab programming – US$399 ($100 discount if paid by May 31)
  • June 20 (full day) – Matlab performance tuning (speed-up) – US$399 ($100 discount if paid by May 31)
  • Enroll to both courses (2 full days) for a total price of US$699 ($150 extra discount if paid by May 31)

Both courses/seminars are confirmed: they do not depend on a minimal number of participants. But there is a limit on the total number of participants, so the sooner you enroll, the more likely you are to get a seat.

The seminars are targeted at Matlab users who wish to improve their program’s maintainability and usability. Basic familiarity with the Matlab environment and coding/programming is assumed. The courses will present a mix of both documented and undocumented aspects, that is not available anywhere else. The curriculum is listed below.

This is a unique opportunity to enhance your Matlab coding skills in a couple of days, at a very affordable cost.

If you are interested in either or both of these courses, please Email me (altmany at gmail dot com).

I can also schedule onsite Matlab training at your location, customized to your organization’s specific needs. Additional information can be found on my Training page.

During the week of the training, I will be in Zürich (June 18-20), Bern (June 22) and Geneva (June 21-24). I will also be in Geneva between May 14-18. If you wish to meet me in person to discuss how I could bring value to your work, then please email me (altmany at gmail).

 Email me
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Categories: Public presentation
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GUI formatting using HTML

As I’ve mentioned several times in the past, HTML can be used for simple formatting of GUI controls, including font colors/sizes/faces/angles. With a bit of thought, HTML (and some CSS) can also be used for non-trivial formatting, that would otherwise require the use of Java, such as text alignment, background color, and using a combination of text and icons in the GUI control’s contents.


For example, a question that I am often asked (latest example) is whether it is possible to left/center/right align the label within a Matlab button, listbox or table. While Matlab does not (yet) have properties that control alignment in uicontrols, we can indeed use HTML for this. There’s a catch though: if we simply tried to use <div align="left">…, it will not work. No error will be generated but we will not see any visible left-alignment. The reason is that internally, the text is contained within a snugly-fitting box. Aligning anything within a tight-fitting box obviously has no effect.

To solve the problem, we need to tell Matlab (or rather, the HTML interpreter used by the underlying Java control) to widen this internal box. One way to do this is to specify the width of the div tag, which can be enormous in order to span the entire available apace (<div width="999px" align="left">…). Another method is to simulate a simple HTML table that contains a single cell that holds the text, and then tell HTML the table cell’s width:

hButton.String   = '<html><tr><td width=9999 align=left>Left-aligned';  % left-align within a button
hTable.Data{2,1} = '<html><tr><td width=9999 align=right>And right';   % right-align within a specific uitable cell

centered (default) button label   right-aligned button label

Centered (default) and right-aligned button labels

Non-default alignment of uitable cells

Non-default alignment of uitable cells

I discussed the specific aspect of uicontrol content alignment in another post last year.

Background color

The same problem (and solution) applies to background colors: if we don’t enlarge the snugly-fitting internal bounding-box, any HTML bgcolor that we specify would only be shown under the text (i.e., within the internal box’s confines). In order to display bgcolor across the entire control/cell width, we need to enlarge the internal box’s width (the align and bgcolor tags can of course be used together):
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Categories: Medium risk of breaking in future versions, UI controls, Undocumented feature
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MathWorks-solicited Java survey

Over the years I’ve reported numerous uses for integrating Java components and functionality in Matlab. As I’ve also recently reported, MathWorks is apparently making a gradual shift away from standalone Java-based figures, toward browser-based web-enabled figures. As I surmised a few months ago, MathWorks has created dedicated surveys to solicit user feedbacks on the most important (and undocumented) non-compatible aspects of this paradigm change: one regarding users’ use of the javacomponent function, the other regarding the use of the figure’s JavaFrame property:

In MathWorks’ words:

In order to extend your ability to build MATLAB apps, we understand you sometimes need to make use of undocumented Java UI technologies, such as the JavaFrame property. In response to your needs, we are working to develop documented alternatives that address gaps in our app building offerings.

To help inform our work and plans, we would like to understand how you are using the JavaFrame property. Based on your understanding of how it is being used within your app, please take a moment to fill out the following survey. The survey will take approximately 1-2 minutes to finish.

I urge anyone who uses one or both of these features to let MathWorks know how you’re using them, so that they could incorporate that functionality into the core (documented) Matlab. The surveys are really short and to the point. If you wish to send additional information, please email George.Caia at mathworks.com.

The more feedback responses that MathWorks will get, the better it will be able to prioritize its R&D efforts for the benefit of all users, and the more likely are certain features to get a documented solution at some future release. If you don’t take the time now to tell MathWorks how you use these features in your code, don’t complain if and when they break in the future…

My personal uses of these features

  • Functionality:
    • Figure: maximize/minimize/restore, enable/disable, always-on-top, toolbar controls, menu customizations (icons, tooltips, font, shortcuts, colors)
    • Table: sorting, filtering, grouping, column auto-sizing, cell-specific behavior (tooltip, context menu, context-sensitive editor, merging cells)
    • Tree control
    • Listbox: cell-specific behavior (tooltip, context menu)
    • Tri-state checkbox
    • uicontrols in general: various event callbacks (e.g. mouse hover/unhover, focus gained/lost)
    • Ability to add Java controls e.g. color/font/date/file selector panel or dropdown, spinner, slider, search box, password field
    • Ability to add 3rd-party components e.g. JFreeCharts, JIDE controls/panels

  • Appearance:
    • Figure: undecorated (frameless), other figure frame aspects
    • Table: column/cell-specific rendering (alignment, icons, font, fg/bg color, string formatting)
    • Listbox: auto-hide vertical scrollbar as needed, cell-specific renderer (icon, font, alignment, fg/bg color)
    • Button/checkbox/radio: icons, text alignment, border customization, Look & Feel
    • Right-aligned checkbox (button to the right of label)
    • Panel: border customization (rounded/matte/…)

You can find descriptions/explanations of many of these in posts I made on this website over the years.

Categories: Figure window, Hidden property, High risk of breaking in future versions, Java, Undocumented function
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I am hiring experienced Matlab programmers (Tel Aviv)

I am hiring experienced Matlab programmers for work in Tel Aviv, to join a growing team of Matlab experts working under my supervision. Very interesting work, good salary, and flexible worhours. This job opening is only applicable to candidates who live in central Israel. If you live in the area and are interested, or if you know someone who could be a good fit, please email me: altmany at gmail.

-אני מגייס מתכנת/ת מטלב מנוסה לעבודה בתל אביב בחברת הייעוץ שלי. המשרה בהיקף ובימים/שעות גמישים, העבודה מעניינת והשכר טוב. לפרטים נא לפנות ל
altmany at gmail

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Additional license data

Matlab’s license function returns the primary license number/ID used by Matlab, but no information about the various toolboxes that may be installed. The ver function returns a bit more information, listing the version number and installation date of installed toolboxes (even user toolboxes, such as my IB-Matlab toolbox). However, no additional useful information is provided beyond that:

>> license
ans =
>> ver
MATLAB Version: (R2016b)
MATLAB License Number: 835289
Operating System: Microsoft Windows 7 Professional  Version 6.1 (Build 7601: Service Pack 1)
Java Version: Java 1.7.0_60-b19 with Oracle Corporation Java HotSpot(TM) 64-Bit Server VM mixed mode
MATLAB                                                Version 9.1         (R2016b)           
Curve Fitting Toolbox                                 Version 3.5.4       (R2016b)           
Database Toolbox                                      Version 7.0         (R2016b)           
Datafeed Toolbox                                      Version 5.4         (R2016b)           
Financial Instruments Toolbox                         Version 2.4         (R2016b)           
Financial Toolbox                                     Version 5.8         (R2016b)           
GUI Layout Toolbox                                    Version 2.2.1       (R2015b)           
Global Optimization Toolbox                           Version 3.4.1       (R2016b)           
IB-Matlab - Matlab connector to InteractiveBrokers    Version 1.89        Expires: 1-Apr-2018
Image Processing Toolbox                              Version 9.5         (R2016b)           
MATLAB Coder                                          Version 3.2         (R2016b)           
MATLAB Report Generator                               Version 5.1         (R2016b)           
Optimization Toolbox                                  Version 7.5         (R2016b)           
Parallel Computing Toolbox                            Version 6.9         (R2016b)           
Statistical Graphics Toolbox                          Version 1.2                            
Statistics and Machine Learning Toolbox               Version 11.0        (R2016b)           
>> v = ver
v = 
  1×16 struct array with fields:
>> v(1)
ans = 
  struct with fields:
       Name: 'Curve Fitting Toolbox'
    Version: '3.5.4'
    Release: '(R2016b)'
       Date: '25-Aug-2016'
>> v(8)
ans = 
  struct with fields:
       Name: 'IB-Matlab - Matlab connector to InteractiveBrokers'
    Version: '1.89'
    Release: 'Expires: 1-Apr-2018'
       Date: '02-Feb-2017'

It is sometimes useful to know which license number “owns” which product/toolbox, and the expiration date is associated with each of them. Unfortunately, there is no documented way to retrieve this information in Matlab – the only documented way is to go to your account section on the MathWorks website and check there.

Luckily, there is a simpler way that can be used to retrieve additional information, from right inside Matlab, using matlab.internal.licensing.getFeatureInfo:
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Categories: High risk of breaking in future versions, Stock Matlab function, Undocumented feature, Undocumented function

Parsing XML strings

I have recently consulted in a project where data was provided in XML strings and needed to be parsed in Matlab memory in an efficient manner (in other words, as quickly as possible). Now granted, XML is rather inefficient in storing data (JSON would be much better for this, for example). But I had to work with the given situation, and that required processing the XML.

I basically had two main alternatives:

  • I could either create a dedicated string-parsing function that searches for a particular pattern within the XML string, or
  • I could use a standard XML-parsing library to create the XML model and then parse its nodes

The first alternative is quite error-prone, since it relies on the exact format of the data in the XML. Since the same data can be represented in multiple equivalent XML ways, making the string-parsing function robust as well as efficient would be challenging. I was lazy expedient, so I chose the second alternative.

Unfortunately, Matlab’s xmlread function only accepts input filenames (of *.xml files), it cannot directly parse XML strings. Yummy!

The obvious and simple solution is to simply write the XML string into a temporary *.xml file, read it with xmlread, and then delete the temp file:

% Store the XML data in a temp *.xml file
filename = [tempname '.xml'];
fid = fopen(filename,'Wt');
% Read the file into an XML model object
xmlTreeObject = xmlread(filename);
% Delete the temp file
% Parse the XML model object

This works well and we could move on with our short lives. But cases such as this, where a built-in function seems to have a silly limitation, really fire up the investigative reporter in me. I decided to drill into xmlread to discover why it couldn’t parse XML strings directly in memory, without requiring costly file I/O. It turns out that xmlread accepts not just file names as input, but also Java object references (specifically, java.io.File, java.io.InputStream or org.xml.sax.InputSource). In fact, there are quite a few other inputs that we could use, to specify a validation parser etc. – I wrote about this briefly back in 2009 (along with other similar semi-documented input altermatives in xmlwrite and xslt).
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Categories: Low risk of breaking in future versions, Semi-documented feature, Stock Matlab function
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Quirks with parfor vs. for

A few months ago, I discussed several tips regarding Matlab’s parfor command, which is used by the Parallel Computing Toolbox (PCT) for parallelizing loops. Today I wish to extend that post with some unexplained oddities when using parfor, compared to a standard for loop.

Data serialization quirks

Dimitri Shvorob may not appear at first glance to be a prolific contributor on Matlab Central, but from the little he has posted over the years I regard him to be a Matlab power-user. So when Dimitri reports something, I take it seriously. Such was the case several months ago, when he contacted me regarding very odd behavior that he saw in his code: the for loop worked well, but the parfor version returned different (incorrect) results. Eventually, Dimitry traced the problem to something originally reported by Dan Austin on his Fluffy Nuke It blog.

The core issue is that if we have a class object that is used within a for loop, Matlab can access the object directly in memory. But with a parfor loop, the object needs to be serialized in order to be sent over to the parallel workers, and deserialized within each worker. If this serialization/deserialization process involves internal class methods, the workers might see a different version of the class object than the one seen in the serial for loop. This could happen, for example, if the serialization/deserialization method croaks on an error, or depends on some dynamic (or random) conditions to create data.

In other words, when we use data objects in a parfor loop, the data object is not necessarily sent “as-is”: additional processing may be involved under the hood that modify the data in a way that may be invisible to the user (or the loop code), resulting in different processing results of the parallel (parfor) vs. serial (for) loops.

For additional aspects of Matlab serialization/deserialization, see my article from 2 years ago (and its interesting feedback comments).

Data precision quirks

The following section was contributed by guest blogger Lior Perlmuter-Shoshany, head algorithmician at a private equity fund.

In my work, I had to work with matrixes in the order of 109 cells. To reduce the memory footprint (and hopefully also improve performance), I decided to work with data of type single instead of Matlab’s default double. Furthermore, in order to speed up the calculation I use parfor rather than for in the main calculation. In the end of the run I am running a mini for-loop to see the best results.

What I discovered to my surprise is that the results from the parfor and for loop variants is not the same!
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Categories: Guest bloggers, Medium risk of breaking in future versions, Memory, Stock Matlab function, Undocumented feature
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Checking status of warning messages in MEX

Once again I would like to welcome guest blogger Pavel Holoborodko, the developer of the Advanpix Multiprecision Computing Toolbox. Pavel has already posted here as a guest blogger about undocumented Matlab MEX functions. Today he will discuss another little-known aspect of advanced MEX programming with Matlab, a repost of an article that was originally posted on his own blog. Happy holidays everybody!

Matlab allows flexible adjustment of visibility of warning messages. Some, or even all, messages can be disabled from showing on the screen by warning command.

The little known fact is that status of some warnings may be used to change the execution path in algorithms. For example, if warning 'Matlab:nearlySingularMatrix' is disabled, then the linear system solver (mldivide operator) might skip estimation of reciprocal condition number which is used exactly for the purpose of detection of nearly singular matrices. If the trick is used, it allows 20%-50% boost in solver performance, since rcond estimation is a time consuming process.

Therefore it is important to be able to retrieve status of warnings in Matlab. Especially in MEX libraries targeted for improved performance. Unfortunately Matlab provides no simple way to check status of warning message from MEX module.

Today’s article outlines two workarounds for the issue:

  1. Using mexCallMATLABWithTrap (documented)
  2. Using utGetWarningStatus (undocumented)

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Categories: Guest bloggers, Medium risk of breaking in future versions, Undocumented function
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Password & spinner controls in Matlab GUI

I often include configuration panels in my programs, to enable the user to configure various program aspects, such as which emails should automatically be sent by the program to alert when certain conditions occur. Last week I presented such a configuration panel, which is mainly composed of standard documented Matlab controls (sub-panels, uitables and uicontrols). As promised, today’s post will discuss two undocumented controls that are often useful in similar configuration panels (not necessarily for emails): password fields and spinners.

Matlab GUI configuration panel including password and spinner controls (click to zoom-in)
Matlab GUI configuration panel including password and spinner controls (click to zoom-in)

Password fields are basically editboxes that hide the typed text with some generic echo character (such as * or a bullet); spinners are editboxes that only enable typing certain preconfigured values (e.g., numbers in a certain range). Both controls are part of the standard Java Swing package, on which the current (non-web-based) Matlab GUIs relies. In both cases, we can use the javacomponent function to place the built-in Swing component in our Matlab GUI.
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Categories: GUI, High risk of breaking in future versions, Java, Semi-documented function
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Sending email/text messages from Matlab

In this day and age, applications are expected to communicate with users by sending email/text messages to alert them about applicative events (“IBM stock purchased @$99.99” or “House is on fire!”). Matlab has included the sendmail function to handle this for many years. Unfortunately, sendmail requires some tweaking to be useful on all but the most basic/insecure mail servers. Today’s post will hopefully fill the missing gaps.

None of the information I’ll present today is really new – it was all there already if you just knew what to search for online. But hopefully today’s post will concentrate all these loose ends in a single place, so it may have some value:

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Categories: GUI, Java, Medium risk of breaking in future versions, Semi-documented feature, Stock Matlab function
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