Matlab 7.4

Matlab is een interactive en wiskundige omgeving voor het ontwikkelen van algoritmes, het uitvoeren van numerieke berekeningen en het visualiseren en analyseren van data. Voor meer informatie verwijzen we jullie door naar deze pagina. De ontwikkelaars hebben versie 7.4 de deur uit gedaan met de volgende lijst van aanpassingen:

Version 7.4, part of Release 2007a, includes the following enhancements:

Development Environment

• Enhanced delimiter matching in the Editor includes language constructs such as for, if, and switch
• Ability to automatically fix a subset of M-Lint warning messages in the Editor
• Desktop tool management enhancements on Windows and Linux platforms, including the ability to maximize and hide tools
• Support for undo and redo in the Array Editor for instant correction of interactive operations
• Ability to publish M-code functions when not evaluating code
• Ability to open MATLAB files from the Windows Explorer into an already running MATLAB
• Help browser search results now include demos

Language and Programming

• New inputParser class, making it easier to parse and validate M-file function input arguments
• New assert function that throws an error if a condition is not true, enabling built-in testing of code
• New verLessThan function that checks the version of MATLAB, making it easier to write code that runs across multiple releases
• Numbered arguments to formatted string functions (e.g., sprintf), avoiding the need for parameter reordering in applications such as translation

Mathematics

• New bsxfun function, enabling simpler coding and improved performance for binary operations requiring singleton expansion
• New ilu function for performing incomplete LU factorization to be used as a preconditioner for sparse iterative methods

File I/O and External Interfacing

• New CollectOutput option for the textscan function to automatically collect values of the same data type into a single array
• Ability to programmatically connect to an instance of a COM Automation server, to create an Automation server using a custom interface, and to take full advantage of event interfaces

Performance and Large Data Set Handling

• Multithreaded computation support for many linear algebra and element-wise numeric operations, allowing performance improvement on multicore and multiprocessor systems
• Upgraded versions of optimized Basic Linear Algebra Subprogram (BLAS) libraries on all platforms
• Improved performance of the Windows XP 64-bit platform
• 64-bit MATLAB support for Solaris, allowing the handling of much larger data sets