Matlab 2012a is a super amazing programming software with a graphical user interface for processing Matrices Data. Matrix Manipulation and Multiplication are now can be done in a short time. Faster Matrix Processing and Lower Memory Requirements. MATLAB 2012a Free Download can now import files with the type ‘.mat’ from the clipboard and other applications, such as Microsoft Excel.
This is the latest version of Matlab 2011a and it has many features that make this MATLAB programming language one of the most powerful! In addition, you can easily download Matlab 2012 free trial to see how awesome it is for yourself before downloading.
Complete Overview of Matlab 2012a Version
The latest version of Matlab 2012 contains many new features as well as an upgrade to the programming language. A rewritten GUI and graphics engine, has resulted in a smoother user interface with more responsive interaction between mouse and Matlab commands.
The latest version of Matlab 2012a is now 64bit for increased precision & improved performance on scientific computations involving large datasets or matrices; A number of enhancements have been made to the numerical library that improves accuracy when solving systems of linear equations, interpolating sparse data sets, eigenvalue problems etc.
Now Matlab 2012a has a brand new debugger that enables users to debug a function line by line, inspect variables as they change, and use breakpoints.
In Matlab 2012a, the debugger also has the ability to pause CPU execution while monitoring software or Matlab code for debugging purposes. The new debugger is especially useful when one needs an accurate measurement of computation time spent on particular sections in order to optimize performance or improve accuracy.
Improvements have also been made to debugger capabilities including watch variables (to track specific objects), breakpoints (for stopping execution at selected locations), and computational error messages.
Improved plotting capabilities
By Plotting in Matlab means graphing data points on a two-dimensional surface, and Matlab 2010a features some improvements in this area. For instance, the new version of Matlab comes with over 200 built-in plots for different types of graphs as well as many tools to customize them.
The most recent addition in Matlab 2012a is the ability to plot items inside three-dimensional volumes that can be sliced and viewed from any angle – an important feature when working with medical image analysis or simulations involving multiple dimensions.
That enables you to create scatter plots with more points than ever before; New animation commands which help simplify animations from scratch and speed up the process immensely; And many other functions like automatic detection and correction for data conversion errors, compatibility between MATLAB installations on different operating systems etcetera.
You can now plot each and every kind of matrix in a graphic window which makes the interactive plotting of matrices a snap.
The new Algorithm Pattern Matching tool is an invaluable asset for designing and debugging machine-learning algorithms, which can detect the existence or non-existence of patterns in series entries; New functions to export data from MATLAB as CSV files help you analyze your data using external software like Microsoft Excel.
Now the latest version is pretty much faster than previous versions. Supports better compatibility between installations on different operating systems. It can perform matrix operations on the graphics card of your computer, which will greatly improve its performance and speed.
This update includes a new Algorithm Pattern Matching tool that can detect patterns in data series entries; A collection of functions for exporting MATLAB as CSV files to be used by other programs such as Microsoft Excel. The newest version also supports better compatibility between installations on different operating systems, and it can perform matrix operations using the graphics card of your computer, which improves its performance significantly.
These updates make Matlab 2012 an indispensable asset for designing and debugging machine-learning algorithms or analyzing data with external software like Microsoft Excel!
The latest release of MATLAB offers more than just improved plotting capabilities; it also increases computations per second by up to 100% compared with previous versions. This makes it possible for users to get their analyses done much faster without sacrificing precision or accuracy.
One of its toolboxes, MuPAD, has the capability for symbolic computation. Symbolic computation in Matlab means that it is possible to use Matlab commands and functions on mathematical expressions, without the need of evaluating these values. This can be done by just writing an expression in a command window or entering it into a cell of a spreadsheet.
One other toolbox, Simulink, has been developed for simulation and modeling purposes for control systems engineering applications. It allows you to create block diagrams that represent components from which you input signals (called “blocks”) as well as those where outputs are generated (called “black boxes”). You can then see how different scenarios affect your system’s behavior through simulations with no real-world testing needed.
Communication Blockset and Communication Toolbox
There is now a single Communication System Toolbox that encompasses both the Communication Blockset and the Communication Toolbox. This simplifies the use of MATLAB for any type of communication system design. The Communication Blockset provides a set of blocks that can quickly be used to construct components in hardware, software, or both (e.g., filters).
The Toolbox includes simulation and analysis tools such as time domain convolution, frequency domain deconvolution, Wiener filtering, and other common functions (both linear algebraic equations and discrete) that are commonly found in communications systems theory books but not easily found elsewhere.
It has a Feature called Complete System Design with Simulations. You no longer need separate toolboxes to simulate communication systems because all the modeling is done from within one environment. It’s easy to import your own models into this.
New and improved graphics capabilities for large data sets with the introduction of Parallel Coordinates, Contour Fitting, Image Segmentation, and Clustering. These tools allow users to visualize complex datasets spanning many variables in an intuitive way. This function provides both interactivity as well as visualization through parallel coordinates plots that are dynamically updated when you move your mouse over different parts of the plot.
New mathematical functions such as Harmonic Analysis (function HARMONIC), Periodic Table Plotting (PERTURBATION) which calculates molecular orbitals from perturbation theory, Differential Equations Solver DLSODE solving linear first-order differential equations numerically.
Below is the list of the most common functions used in Matlab 2012a:
- Matrix Multiplications: MATMUL, Matrix Transposes: MATTRAN
- Convolutions and Filters: CONVOLVE, FILTER
- Linear Algebra Operations: DIAGONALIZE, EIGENVALUES, EIGENVECTORS
- Statistical Functions for Probability Distributions (NORMAL): NORMINV, PROBPLOTING
- Differential Equations Solver DLSODE solving linear first-order differential equations numerically.
- Image Segmentation and Clustering Tools allow users to visualize complex datasets spanning many variables in an intuitive way. These tools provide both interactivity as well as visualization through parallel coordinates plots that are dynamically updated when you move your mouse over different parts of the plot.
New features available in Matlab 2012a Version
Below is the list of new features available in Matlab 2012a.
- A new interface provides one-click access to all major functions and displays more of the underlying commands.
- Users can now create and share scripts with a new online script editor.
- Quick look commands let you see the data for an entire row or column of matrices, without loading them into memory.
- New support for 64-bit operating systems on Mac OS X Snow Leopard (Intel)
- The new HDF object provides better accessibility to large datasets than HDS objects in previous versions.
- The public release includes optimizations that will help speed up operations when working with big matrays, complex numbers, and sparse matrices.
System Requirements for Matlab 2012a
Below are the system requirements for Matlab 2012 Version:
- RAM: 2GB minimum
- Disk storage: 250MB minimum
- A graphics card that can support OpenGL v. IITexture memory of 128 MB or higher (note this requirement may vary depending on the graphics drivers)
- OS Requirements OS X Snow Leopard, Mac OS X Leopard, Windows XP/Vista/Windows-2008 Server with SP-level update installed an Intel Pentium IV processor or compatible AMD processor. Matlab 2012 does not run on Macintosh PowerPCs nor any version below Microsoft Vista operating systems for Windows
- Processor requirements 800 MHz CPU or faster recommended; 1024 x 768 screen resolution display settings at 256 colors required
- If you have a slow computer then use Matlab 2009 instead which has fewer features but is still very useful too.
Download Matlab 2012a For Free
Click on the below link to download Matlab 2012a.