shad0w7

November 20th, 2011, 06:13 PM

Is it possible to do it using wine? I already tried it but I get many errors. Any tutorial online ? Or anybody has a solution?

I am using ubuntu 64-bit 11.10

I am using ubuntu 64-bit 11.10

View Full Version : [ubuntu] Installing matlab on linux

shad0w7

November 20th, 2011, 06:13 PM

Is it possible to do it using wine? I already tried it but I get many errors. Any tutorial online ? Or anybody has a solution?

I am using ubuntu 64-bit 11.10

I am using ubuntu 64-bit 11.10

MG&TL

November 20th, 2011, 06:19 PM

It's available for linux as-is ( If I'm thinking of the right matlab):

http://www.mathworks.co.uk/products/matlab/requirements.html

http://www.mathworks.co.uk/products/matlab/requirements.html

qleak

November 20th, 2011, 06:20 PM

matlab has a native linux version

http://www.mathworks.com/help/techdoc/matlab_env/bs6j5lz.html#f8-29076

http://www.mathworks.com/help/techdoc/matlab_env/bs6j5lz.html#f8-29076

3Miro

November 20th, 2011, 06:22 PM

You should get the Linux version of Matlab, even if you can get the windows version working with wine (which I doubt), you will not find much help since people use the Linux version under Linux.

MG&TL

November 20th, 2011, 06:24 PM

I imagine if you can prove that you bought the windows version, they'll be happy to let you.

Is matlab any good? My little brother wants it for christmas....<sigh>

Is matlab any good? My little brother wants it for christmas....<sigh>

3Miro

November 20th, 2011, 06:56 PM

I imagine if you can prove that you bought the windows version, they'll be happy to let you.

Is matlab any good? My little brother wants it for christmas....<sigh>

Matlab is basically the industry standard for Numerical Analysis and Engineering. How little is your little brother, MATLAB is College level stuff and only as a Graduate Student would one be expected to really tap into its power.

Is matlab any good? My little brother wants it for christmas....<sigh>

Matlab is basically the industry standard for Numerical Analysis and Engineering. How little is your little brother, MATLAB is College level stuff and only as a Graduate Student would one be expected to really tap into its power.

boast

November 20th, 2011, 08:22 PM

Is matlab any good? My little brother wants it for christmas....<sigh>

if you're a researcher, its what you'd be staring at all day.

if you're a researcher, its what you'd be staring at all day.

MG&TL

November 20th, 2011, 08:40 PM

Matlab is basically the industry standard for Numerical Analysis and Engineering. How little is your little brother, MATLAB is College level stuff and only as a Graduate Student would one be expected to really tap into its power.

He's 12, but he's autistic and does university level maths.

He's 12, but he's autistic and does university level maths.

3Miro

November 20th, 2011, 09:11 PM

He's 12, but he's autistic and does university level maths.

If he does University Math indeed, then Matlab would be good for him. The other option is Mathematica, which is more for symbolic work and it is more theoretical. Matlab is for numerical and applied math, oriented towards Engineering applications.

If he does University Math indeed, then Matlab would be good for him. The other option is Mathematica, which is more for symbolic work and it is more theoretical. Matlab is for numerical and applied math, oriented towards Engineering applications.

MG&TL

November 20th, 2011, 11:25 PM

If he does University Math indeed, then Matlab would be good for him. The other option is Mathematica, which is more for symbolic work and it is more theoretical. Matlab is for numerical and applied math, oriented towards Engineering applications.

He into things like fluid dynamics, so I guess a modelling library/engineering is good?

He into things like fluid dynamics, so I guess a modelling library/engineering is good?

pjd99

November 21st, 2011, 12:20 AM

GNU Octave is an open source numerical analysis tool with near-identical syntax to Matlab. This would serve as a good introduction to the Matlab environment and scripting language, and exists in the Ubuntu repositories. There are plenty of add-on packages that provide identical or similar functionality to Matlab "Toolboxes", though the GUI builders for filters/controllers etc don't exist.

Worth a look before shelling out for Matlab.

Worth a look before shelling out for Matlab.

MG&TL

November 21st, 2011, 12:30 AM

Thanks, I'll give that a look.

rewyllys

November 21st, 2011, 12:53 AM

If he does University Math indeed, then Matlab would be good for him. The other option is Mathematica, which is more for symbolic work and it is more theoretical. Matlab is for numerical and applied math, oriented towards Engineering applications.

I have no desire to denigrate MatLab, which is indeed powerful.

But IMHO it would be fairer to characterize Mathematica as being able not only to handle the kinds of engineering applications that MatLab handles, but also as handling numerous other fields, including probability and statistics, image processing, number theory, etc. Of course, Mathematica is even more expensive than MatLab (although academic discounts are available to qualified persons).

BTW, I second the recommendation of GNU Octave as handling most everything that MatLab handles.

I have no desire to denigrate MatLab, which is indeed powerful.

But IMHO it would be fairer to characterize Mathematica as being able not only to handle the kinds of engineering applications that MatLab handles, but also as handling numerous other fields, including probability and statistics, image processing, number theory, etc. Of course, Mathematica is even more expensive than MatLab (although academic discounts are available to qualified persons).

BTW, I second the recommendation of GNU Octave as handling most everything that MatLab handles.

3Miro

November 21st, 2011, 02:09 PM

I have no desire to denigrate MatLab, which is indeed powerful.

But IMHO it would be fairer to characterize Mathematica as being able not only to handle the kinds of engineering applications that MatLab handles, but also as handling numerous other fields, including probability and statistics, image processing, number theory, etc. Of course, Mathematica is even more expensive than MatLab (although academic discounts are available to qualified persons).

That is not a fair statement. Matlab can also do statistics and number theory and any symbolic computations. The difference between Matlab and Mathematica is how they handle the Symbolic vs Numeric computations. Mathematica is very powerful when it comes to symbolic computations or number theory, however, it is at best clumsy if you have to do numerical linear algebra. Matlab is the exact opposite, numerical stuff comes naturally, the symbolic stuff was added as an after-thought.

BTW, I second the recommendation of GNU Octave as handling most everything that MatLab handles.

My Ph.D. dissertation was on fluid dynamics. Everybody that I know in this field uses Matlab (or Fortan or C/C++). While Octave is a good starting point, it cannot do all the Matlab code. Thus if you download some fluid dynamics software off the Internet, then Octave may not be sufficient.

If one isn't an actual researcher, then it is safe to start with Octave to see how far they can go. After all it doesn't cost anything to try out Octave.

But IMHO it would be fairer to characterize Mathematica as being able not only to handle the kinds of engineering applications that MatLab handles, but also as handling numerous other fields, including probability and statistics, image processing, number theory, etc. Of course, Mathematica is even more expensive than MatLab (although academic discounts are available to qualified persons).

That is not a fair statement. Matlab can also do statistics and number theory and any symbolic computations. The difference between Matlab and Mathematica is how they handle the Symbolic vs Numeric computations. Mathematica is very powerful when it comes to symbolic computations or number theory, however, it is at best clumsy if you have to do numerical linear algebra. Matlab is the exact opposite, numerical stuff comes naturally, the symbolic stuff was added as an after-thought.

BTW, I second the recommendation of GNU Octave as handling most everything that MatLab handles.

My Ph.D. dissertation was on fluid dynamics. Everybody that I know in this field uses Matlab (or Fortan or C/C++). While Octave is a good starting point, it cannot do all the Matlab code. Thus if you download some fluid dynamics software off the Internet, then Octave may not be sufficient.

If one isn't an actual researcher, then it is safe to start with Octave to see how far they can go. After all it doesn't cost anything to try out Octave.

rewyllys

November 21st, 2011, 04:50 PM

. . . . Mathematica is very powerful when it comes to symbolic computations or number theory, however, it is at best clumsy if you have to do numerical linear algebra. . . .

I readily agree with this comment, having--like almost all mathematicians--been trained to prefer visualizing vectors as columns, not rows.

My dissertation antedated Matlab and Mathematica; in those bad old days, I had to write my programs in FORTRAN.:cry:

I readily agree with this comment, having--like almost all mathematicians--been trained to prefer visualizing vectors as columns, not rows.

My dissertation antedated Matlab and Mathematica; in those bad old days, I had to write my programs in FORTRAN.:cry:

3Miro

November 21st, 2011, 05:40 PM

My dissertation antedated Matlab and Mathematica; in those bad old days, I had to write my programs in FORTRAN.:cry:

Actually when it comes to the hardest problems in fluids, neither Matlab nor Mathematica can handle the work-load. At this point everything is moving to FORTRAN or C/C++. Only one part of my dissertation was about Matlab, the heavy computations were carried out in C++. I view Matlab as a tool to test the algorithms before I spend the time to do the real implementation in C/C++.

Actually when it comes to the hardest problems in fluids, neither Matlab nor Mathematica can handle the work-load. At this point everything is moving to FORTRAN or C/C++. Only one part of my dissertation was about Matlab, the heavy computations were carried out in C++. I view Matlab as a tool to test the algorithms before I spend the time to do the real implementation in C/C++.

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