. at Wikibooks MATLAB ( matrix laboratory) is a environment. A developed by, MATLAB allows manipulations, plotting of and data, implementation of, creation of, and interfacing with programs written in other languages, including, and. Although MATLAB is intended primarily for numerical computing, an optional toolbox uses the, allowing access to abilities.
An additional package, adds graphical multi-domain simulation and for and. As of 2017, MATLAB has roughly 1 million users across industry and academia. MATLAB users come from various backgrounds of, and. Contents.
History , the chairman of the department at the, started developing MATLAB in the late 1970s. He designed it to give his students access to and without them having to learn. It soon spread to other universities and found a strong audience within the community., an engineer, was exposed to it during a visit Moler made to in 1983. Recognizing its commercial potential, he joined with Moler and Steve Bangert. They rewrote MATLAB in and founded in 1984 to continue its development. These rewritten libraries were known as JACKPAC. In 2000, MATLAB was rewritten to use a newer set of libraries for matrix manipulation,.
MATLAB is a high-level language and interactive environment that enables you to perform computationally intensive tasks faster than with traditional programming.
MATLAB was first adopted by researchers and practitioners in, Little's specialty, but quickly spread to many other domains. It is now also used in education, in particular the teaching of, and is popular amongst scientists involved in. Syntax The MATLAB application is built around the MATLAB scripting language.
Common usage of the MATLAB application involves using the Command Window as an interactive mathematical or executing text files containing MATLAB code. Variables Variables are defined using the assignment operator, =. MATLAB is a programming language because types are implicitly converted. It is an inferred typed language because variables can be assigned without declaring their type, except if they are to be treated as symbolic objects, and that their type can change.
Values can come from, from computation involving values of other variables, or from the output of a function. ari = 1: 5 ari = 1 2 3 4 5 assigns to the variable named ari an array with the values 1, 2, 3, 4, and 5, since the default value of 1 is used as the incrementer. Is one-based, which is the usual convention for in mathematics, although not for some programming languages such as C, C, and Java.
Matrices can be defined by separating the elements of a row with blank space or comma and using a semicolon to terminate each row. The list of elements should be surrounded by square brackets:. Parentheses: are used to access elements and subarrays (they are also used to denote a function argument list). A = 1; 2 , B = A ', C = transpose ( A ) A = 1 2 B = 1 2 C = 1 2 D = 0 3; 1 5 , D ' D = 0 3 1 5 ans = 0 1 3 5 Most MATLAB functions can accept matrices and will apply themselves to each element. For example, mod(2.J,n) will multiply every element in 'J' by 2, and then reduce each element modulo 'n'. MATLAB does include standard 'for' and 'while' loops, but (as in other similar applications such as ), using the notation often produces code that is faster to execute.
This code, excerpted from the function magic.m, creates a M for odd values of n (MATLAB function meshgrid is used here to generate square matrices I and J containing 1:n). J, I = meshgrid ( 1: n ); A = mod ( I + J - ( n + 3 ) / 2, n ); B = mod ( I + 2. J - 2, n ); M = n. A + B + 1; Structures MATLAB has structure data types. Since all variables in MATLAB are arrays, a more adequate name is 'structure array', where each element of the array has the same field names. In addition, MATLAB supports dynamic field names (field look-ups by name, field manipulations, etc.).
Unfortunately, MATLAB JIT does not support MATLAB structures, therefore just a simple bundling of various variables into a structure will come at a cost. Functions When creating a MATLAB function, the name of the file should match the name of the first function in the file. Valid function names begin with an alphabetic character, and can contain letters, numbers, or underscores.
Functions are also often case sensitive. Function handles MATLAB supports elements of by introducing function handles, or function references, which are implemented either in.m files or anonymous /nested functions. Classes and object-oriented programming MATLAB supports including classes, inheritance, virtual dispatch, packages, pass-by-value semantics, and pass-by-reference semantics. However, the syntax and calling conventions are significantly different from other languages.
MATLAB has value classes and reference classes, depending on whether the class has handle as a super-class (for reference classes) or not (for value classes). Method call behavior is different between value and reference classes. For example, a call to a method. See also: and MATLAB has a number of competitors. Commercial competitors include, and.
There are also alternatives to MATLAB, in particular, and, which are intended to be mostly compatible with the MATLAB language; the programming language also initially used MATLAB-like syntax. Among other languages that treat arrays as basic entities (array programming languages) are, 90 and higher, as well as the statistical languages and. There are also libraries to add similar functionality to existing languages, such as for, for, for, // for, / for, for, and for. Is unique from other alternatives because it treats incompatibility with MATLAB as a bug (see ), therefore, making a superset of the MATLAB language. Retrieved 7 February 2014. Retrieved 14 August 2013. Computer History Museum.
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Are you talking about WinXP, 7 or 8? The installer of v5.3 does not run under Windows7.
Even the compatibility modes do not help, because the installer contains 16 bit programs, which cannot be emulated on 64 bit machines anymore. I have not been able to install Matlab 6.5 under Windows 7 due to the same reason, although the actual program is a pure 32-bit application. Perhaps it would be possible to install Matlab on a USB stick, but after discussions with the technical support it got clear, that this would violate the license conditions. Therefore I run Matlab 6.5 in a virtual 32bit XP machine under Win7/64.
This works fluently, except for the old tedious warnings about the exhausted notification handles. Running 5.3 would have severe side effects:. There are a lot of incompatibilities to current Matlab versions: No dynamic field names S.('field'), no MExceptions for TRY/CATCH, no true / false, no short-circuting operators && and , no REGEXP, MOVEFILE, WINOPEN, TIMER, no mfilename('fullpath'), no numel, no internal casting in fread, no OpenGL rendering, no uigetdir, no function handles, no continue in loops, no cast and typecast, no regexp, no ancestor, no dataread (which is outdated again, so even no textscan), no strfind, but the dangerous findstr. Most algebraic functions are not defined for single or integer types, no (u)int64. Some serious bugs exist in 5.3. This means that you have to debug all your code twice under remarkably different conditions, when you run 5.3 and a modern version. The editor is known to crash frequently.
After I've struggeled for 2 years with it, I still press Ctrl-S every 5 minutes - even when I'm in this forum. The startup time and the delays in the editor are extremely short: No huge Java libs are loaded, no smart but costly MLint parsing, no ugly Java thrilled GUIs. You will feel real pain when you return to a current version of Matlab. Inspite of the missing JIT acceleration, Matlab 5.3 runs really fast, at least for an old version of my medium-sized program (150'000 lines of code, all bottleneck-loops implemented as single threaded C-Mex). 40% of the time are spend with import and export to the hard-disk, such that the Matlab version does not have a significant influence, other 40% (under 5.3!) are spend with creating a bunch of complex figures with a lot of diagrams, lines, patchs, buttons and legends. And due to the modern Java basement, this part needs 4 times longer in Matlab 2011b.
So guess, if the remaining 20% processing time can be accelerated by modern partially multi-threaded toolbox functions and super-Jitting. But on the other hand: The old code has 2400 MLint warnings (which I do not fix, because I maintain a modern version of this program with the double number of lines now). Fixing them or fighting with the bugs would cost much more time than the faster runtime can save. So I strongly recommend not to develop code under Matlab 5.3 anymore and not to amputate current code to be backward compatible to this old version.