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From The MathWorks: MATLAB integrates mathematical computing, visualization, plus a powerful language to supply a flexible environment for technical computing. The open architecture allows to use MATLAB as well as its companion products to discover data, create algorithms, and build custom tools that supply early insights and competitive advantages.
So Matlab is a pretty robust platform for any individual with a basic programming background in order to quickly produce algorithms to perform a volume of things. I have used it to automate image analysis and statistical analysis of biological data. I find it typically useful, I feel very strongly that Mathworks carries a particularly greedy enterprize model, where various bugs will not be addressed before the yearly update, that you've got to pay for again. Usually when a product incorporates a flaw, the corporation wants to repair it, to ensure that when they release the brand new product, their base of happy users will buy it. Mathworks seems to utilize the opposite approach, it normally won't fix the bugs, in case you want them fixed you HAVE to buy the revolutionary one, then discover a lot more bugs how they again wont fix if you do not pay grrr. I concur that their customer care staff is rude.
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Integrates mathematical computing, visualization as well as a language use a flexible environment for technical computing, visualization and programming
MATLAB is undoubtedly an advanced interactive environment engineered to greatly improve your productivity while performing numerical computation, programming and visualization tasks on the Mac.
With assistance from MATLAB, you'll be able to analyze data, create applications, models and develop algorithms and, furthermore, due to its large number of inbuilt tools, in addition to language and built-in mathematical algorithms you may scrutinize various approaches and locate a solution faster than with traditional programming languages and spreadsheets.
MATLAB can be used a wide variety of applications that consist of communications and signal processing to manage systems, video processing, computational finance and biology, ensure that you measurement.
You are able to use MATLAB s built-in mathematical tools to fix all sorts of engineering and science problems. The provided numerical computation methods can assist you develop algorithms, analyze data or create models.
The MATLAB language cover numerous mathematical functions with support for popular science and engineering operations. Vector and matrix calculations are smoothly executed as a result of the processor-optimized libraries utilised by the core math functions.
Furthermore, MATLAB comes using the necessary tools to gather, analyze and visualize data as a way to gain a better perception of your data. You can also document and share the obtained results using complex plots and reports.
What is a bit more, you may acquire data from files, databases, external devices or some other applications. MATLAB features support for spreadsheet files, text and binary files, multimedia files, together with netCDF and HDF files.
Once the info is collected, you'll be able to manage, filter and pre-process it, perform exploratory data analysis and reveal trends, test assumptions and construct descriptive models. On top of that, you can makes use of the built-in 2D and 3D plot functions with the volume visualization functions to display crucial computer data.
The MATLAB language offers native support for matrix and vector operations that you are able to use to unravel a plethora of problems from different fields. Moreover, you may write programs that will create algorithms without performing low-level administrative tasks. In your development process it is possible to take advantage of numerous development tools, deploy applications and in some cases generate standalone C code.
Mac OS X 10.9.5 or later Intel only
Hardware accelerated graphics card supporting OpenGL 3.3 with 1GB GPU memory recommended.
Add-On Explorer: Add capabilities to MATLAB, including community-authored and MathWorks toolboxes, apps, functions, models, and hardware support
Last updated on September 4th, 2015
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Adobe Photoshop CC 2014 v15.2.2 Multilingual MacOSX - P2P
P2P group has released latest version with the application Adobe Photoshop CC 2014 for MacOSX Photoshop CC 2014 15.0 the main software for perfecting your images, offers productivity and workflow enhancements, powerful new editing tools, and breakthrough compositing capabilities. Adobe Photoshop CC software accelerates your journey from imagination to for photographers, graphic designers, and web-site designers, the professional standard delivers new features including automatic layer alignment and blending that enable advanced compositing. Live filters enhance the comprehensive, nondestructive editing toolset for increased flexibility. And a streamlined interface and new timesaving tools make it all flow faster. Adobe Photoshop CC Extended software delivers each of the features in Photoshop, plus latest features for utilizing 3D imagery, motion-based content, and advanced image analysis. If you be employed in film, video, multimedia, 3D, architecture, manufacturing, engineering, medicine, or science, Photoshop Extended is good for Photoshop CC 2014 15.0 gives more freedom, speed, and power for making incredible images real. You ll get a multitude of new and reinvented features, including one of the most advanced sharpening tool available. Share work straight from Photoshop CC to Behance to acquire feedback and showcase your projects. Get access to latest features the moment they re released. Your entire creative world, together in a. Only in Adobe Creative all-new Smart Sharpen for making details get noticed. Turn low-res shots into big, high-res images. Get each of the advanced 3D editing and image analysis tools which are previously available only in Adobe Photoshop CC restore sharpness to images blurred by camera motion, perhaps the blur was the consequence of slow shutter speed or long focal length. With Camera Shake Reduction, you may make your shots steady even when your hands aren t.