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Mathworks Matlab R2011a Win/Mac/Linux.Added Portable Version (30.04.2011)

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CategorySoftware Date6-05-2011, 08:59

Mathworks Matlab R2011a Win/Mac/Linux.Added Portable Version (30.04.2011)

Mathworks Matlab R2011a Win/Mac/Linux.Added Portable Version (30.04.2011) | 10.42 GB

Naya version of professional software-based solution to a wide range of scientific and applied problems in the modeling of objects in the arsenal which inoovatsionnaya interactive environment for algorithm development and the most advanced tools for data analysis.

About The MathWorks, Inc.
Founded in 1984, MathWorks specializes in software development in the field of numerical computing, simulation and computer-aided design. With a network of offices around the world and collaborating with leading software companies, MathWorks constantly expanding their field of specialization and releases new enhanced versions of products. About one million engineers and scientists around the world use software MathWorks. The company's products are used by leading technology and financial organizations, research institutes and educational institutions. MathWorks software is aimed at solving various engineering problems and accelerates the creation and implementation of innovative technologies for scientific research in fields such as medicine, ecology, aviatehnologiya, energy, education, etc. In recent years, MathWorks software is used extensively in the field of genetic engineering, designing economic models and analysis of their stability under extreme conditions, testing technologies, diagnostics and scientific forecasting. The company's program to help develop effective and safe application, and powerful control system.

About Mathworks Matlab
MathWorks MATLAB is a high-level language for technical computing, interactive development environment algorithms, and modern tools of data analysis. MathWorks MATLAB compared to traditional programming languages ??(C / C + +, Java, Pascal, FORTRAN) allows an order to reduce the solution time for common tasks and simplifies the development of new algorithms.
MATLAB as a programming language was developed Moulerom Cleve (Cleve Moler) in the late 1970's, when he was dean of the Faculty of Computer Science at the University of New Mexico. The purpose of development is the problem to give students the faculty the opportunity to use software libraries Linpack and EISPACK without having to learn Fortran. Soon a new language has spread to other universities and was greeted with great interest to scientists working in the field of applied mathematics. Until now, the Internet can find a version in 1982, written in Fortran, is open-source software. Engineer John Little (born John N. (Jack) Little) met with the language during the visit of Clive Moulera Stanford University in 1983. Realizing that new language has great commercial potential, he teamed up with Clive Moulerom and Steve Bangert (Steve Bangert). Together, they rewrote MATLAB in C and founded in 1984 from The MathWorks for further development. These re-written in C libraries have long been known by the name JACKPAC. MATLAB was originally intended for the design of control systems (main specialty of John Little), but quickly gained popularity in many other scientific and engineering fields. It is also widely used in education, in particular for the teaching of linear algebra and numerical methods. Language MATLAB is a high-level interpreted programming language, including the matrix structure based on the data, a wide range of functions, integrated development environment, object-oriented features and interfaces to programs written in other programming languages.
Programs written in MATLAB, are of two types - functions and scripts. Functions have input and output arguments, as well as your own work space for storing intermediate results of calculations and variables. Scripts also use a common workspace. As scripts and functions are not compiled to native code and saved as text files. There is also an option to save the so-called pre-parsed programs - roles and scripts that are processed into a form suitable for machine execution. In general, such programs run faster than usual, especially if the function contains commands for plotting. The main feature of the MATLAB language is its opportunities for working with matrices, which are the creators of the language expressed in the slogan "Think vector» (Think vectorized). MathWorks MATLAB is the foundation of the entire family of products and MathWorks is the main tool for solving a wide range of scientific and applied problems in areas such as: modeling facilities and development of management systems, design of communication systems, signal and image processing, measurement signals and testing, financial modeling , computational biology, and others.

What's new in version R2011a compared with R2010b

- Improved the generation of C / C + + code
- Improved support for GPU
- Some tulboksy / bloksety merged into larger ones. There was a notion System Toolbox - merge tulboksov and bloksetov with similar functionality (for example, and merge the Communications Toolbox Communications Blockset in Communications System Toolbox).
- Well, as always a lot of stuff-

What's new in version R2011a

In MATLAB R2011a, increased speed of the set of algebraic functions. In addition, the developers have greatly increased ability to cope with large-scale problems using quadratic programming interior point methods - these functions are implemented in the expansion Optimization Toolbox (optimization techniques). In the generation of parallel applications and components using the module Parallel Computing Toolbox (implementation of parallelism) and the MATLAB Compiler Compiler ready algorithms can simultaneously engage up to 8 auxiliary processes. In the superstructure Financial Toolbox is implemented object-oriented algorithm to optimize the investment portfolio, taking into account the cost of turnover and transactions. In the superstructure Econometrics Toolbox (Econometrics) appeared cointegration tests on the methods of Engle-Granger (Engle-Granger) and Johansen (Johansen), as well as evaluation parameters of the amendment VEC (vector error correction) in the technical analysis of financial markets. In a series of R2011a presented a number of new add-ons to packages MATLAB and Simulink, implementing all sorts of real systems. Add-in DSP System Toolbox, for example, combines the functions of digital signal processing module of the Signal Processing Blockset, as well as functions of the add-in Filter Design Toolbox to design RF filters. Superstructure Communications System Toolbox implements the functions of the superstructure and the Communications Toolbox Communications Blockset module for simulation of communication equipment. Add-in Computer Vision System Toolbox for modeling computer vision includes tools from the module Video and Image Processing Blockset (processing of video and images), as well as new algorithms for computer vision. Particular attention should add Phased Array System Toolbox, which contains the algorithms and tools for design, simulation and virtual testing systems for processing of radio signals based on phased array antennas. As for the package Simulink R2011a, it now contains a special module Signal Logging Selector, which allows you to visually compare the results of simulations for different models and runs in an environment Simulink. Module reporting Simulink Report Generator now supports merging Simulink models by comparing the textual descriptions in XML. For added convenience, the designers, who intend to complex systems in the Simulink R2011a includes a facility to simulate the programmable FPGA-circuits, flexible, customizable I / O, and support board Xilinx - all these new features are available in modules Simulink HDL Coder, EDA Simulator Link and xPC Target. The module SimDriveline now available to create and design custom control component in the language of Simscape. The module verification projects Simulink Design Verifier is now supported by automatic identification of a buffer overflow and division by zero - it uses a technology Polyspace. It should be a little more focus on technology for automatic code generation - Now technology allows the company to issue readable MathWorks, compatible with different platforms the code in C and C + + directly from their MATLAB-algorithms. The result of such innovation is the rapid transfer of theoretical calculations and models into practice. How to assure the representatives of MathWorks, automatic code generation from Simulink environment over the last decade has changed the design of embedded systems in many organizations. Now, however, technologies such as MATLAB Coder, Simulink Coder and Embedded Coder offer comfort to rapid prototyping and implementation of ready-made device for everyone, including the creators of household appliances, automobiles and electronics systems saturated.

- MATLAB Distributed Computing Server 5.1
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- MATLAB Compiler 4.15
- MATLAB Report Generator 3.10



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