成长值: 65935
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| Release name | Number | | Year | Release Date | Notes | MATLAB 1.0 | | | | 1984 | | | MATLAB 2 | | | | 1986 | | | MATLAB 3 | | | | 1987 | | | MATLAB 3.5 | | | | 1990 | | Ran on MS-DOS but required at least a 386 processor. Version 3.5m required math coprocessor | MATLAB 4 | | | | 1992 | | | MATLAB 4.2c | | | | 1994 | | Ran on Windows 3.1. Required a math coprocessor. | MATLAB 5.0 | Volume 8 | | | 1996 | December, 1996 | Unified releases across all platforms. | MATLAB 5.1 | Volume 9 | | | 1997 | May, 1997 | | MATLAB 5.1.1 | R9.1 | | | | | MATLAB 5.2 | R10 | | | 1998 | March, 1998 | | MATLAB 5.2.1 | R10.1 | | | | | MATLAB 5.3 | R11 | | | 1999 | January, 1999 | | MATLAB 5.3.1 | R11.1 | | | November, 1999 | | MATLAB 6.0 | R12 | 12 | 1.1.8 | 2000 | November, 2000 | First release with bundled Java Virtual Machine (JVM). | MATLAB 6.1 | R12.1 | 1.3.0 | 2001 | June, 2001 | | MATLAB 6.5 | R13 | 13 | 1.3.1 | 2002 | July, 2002 | | MATLAB 6.5.1 | R13SP1 | | 2003 | | | MATLAB 6.5.2 | R13SP2 | | | | MATLAB 7 | R14 | 14 | 1.4.2 | 2004 | June, 2004 | | MATLAB 7.0.1 | R14SP1 | | October, 2004 | | MATLAB 7.0.4 | R14SP2 | 1.5.0 | 2005 | March 7, 2005 | Support for memory-mapped files.[38] | MATLAB 7.1 | R14SP3 | 1.5.0 | September 1, 2005 | | MATLAB 7.2 | R2006a | 15 | 1.5.0 | 2006 | March 1, 2006 | | MATLAB 7.3 | R2006b | 16 | 1.5.0 | September 1, 2006 | HDF5-based MAT-file support | MATLAB 7.4 | R2007a | 17 | 1.5.0_07 | 2007 | March 1, 2007 | New bsxfun function to apply element-by-element binary operation with singleton expansion enabled.[39] | MATLAB 7.5 | R2007b | 18 | 1.6.0 | September 1, 2007 | Last release for Windows 2000 and PowerPC Mac. License Server support for Windows Vista.[40] New internal format for P-code. | MATLAB 7.6 | R2008a | 19 | 1.6.0 | 2008 | March 1, 2008 | Major enhancements to object-oriented programming capabilities with a new class definition syntax,[41] and ability to manage namespaces with packages.[42] | MATLAB 7.7 | R2008b | 20 | 1.6.0_04 | October 9, 2008 | New Map data structure.[43] Upgrades to random number generators.[44] | MATLAB 7.8 | R2009a | 21 | 1.6.0_04 | 2009 | March 6, 2009 | First release for 32-bit & 64-bit Microsoft Windows 7. New external interface to Microsoft .NET Framework.[45] | MATLAB 7.9 | R2009b | 22 | 1.6.0_12 | September 4, 2009 | First release for Intel 64-bit Mac, and last for Solaris SPARC. New usage for the tilde operator (~) to ignore arguments in function calls.[46][47] | MATLAB 7.9.1 | R2009bSP1 | 1.6.0_12 | 2010 | April 1, 2010 | bug fixes. | MATLAB 7.10 | R2010a | 23 | 1.6.0_12 | March 5, 2010 | Last release for Intel 32-bit Mac. | MATLAB 7.11 | R2010b | 24 | 1.6.0_17 | September 3, 2010 | Support for enumerations added.[48] | MATLAB 7.11.1 | R2010bSP1 | 1.6.0_17 | 2011 | March 17, 2011 | bug fixes and updates. | MATLAB 7.11.2 | R2010bSP2 | 1.6.0_17 | April 5, 2012[49] | bug fixes. | MATLAB 7.12 | R2011a | 25 | 1.6.0_17 | April 8, 2011 | New rng function to control random number generation.[50][51][52] | MATLAB 7.13 | R2011b | 26 | 1.6.0_17 | September 1, 2011 | Access/change parts of variables directly in MAT-files, without loading into memory.[53] Increased maximum local workers with Parallel Computing Toolbox from 8 to 12.[54] | MATLAB 7.14 | R2012a | 27 | 1.6.0_17 | 2012 | March 1, 2012 | | MATLAB 8 | R2012b | 28 | 1.6.0_17 | September 11, 2012 | First release with Toolstrip interface.[55] MATLAB Apps.[56] Redesigned documentation system. | MATLAB 8.1 | R2013a | 29 | 1.6.0_17 | 2013 | March 7, 2013 | New unit testing framework.[57] | MATLAB 8.2 | R2013b | 30 | 1.7.0_11 | September 6, 2013[58] | New table data type.[59] | MATLAB 8.3 | R2014a | 31 | 1.7.0_11 | 2014 | March 7, 2014[60] | Simplified compiler setup for building MEX-files. USB Webcams support in core MATLAB. Number of local workers no longer limited to 12 with Parallel Computing Toolbox. | MATLAB 8.4 | R2014b | 32 | 1.7.0_11 | October 3, 2014 | New class-based graphics engine (a.k.a. HG2).[61] Tabbing functionality in GUI.[62] Improved user toolbox packaging and help files.[63] New objects for date/time manipulations.[64]Git/Subversion integration in IDE.[65] Big Data capabilities with MapReduce (scalable to Hadoop).[66] New py package for using Python from inside MATLAB, and a new engine interface for calling MATLAB from Python.[67][68] Several new and improved functions: webread (RESTful web services with JSON/XML support), tcpclient (socket-based connections), histcounts,histogram, animatedline, and others. |
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