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MathWorks Announces Release of MATLAB and Simulink

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MathWorks today introduced Release 2016a. This release includes the MATLAB Live Editor, which offers the ability to write, run, and modify code in a single interactive environment to accelerate exploratory analysis, and App Designer, an environment that simplifies the process of building MATLAB apps.

R2016a also includes a number of new features in Simulink to help speed model development and simulation, as well as updates and bug fixes to and all other products.

The Live Editor offers a new way to create, edit and run MATLAB code. Results and graphics are displayed together with the code that produced them in a single interactive environment, speeding exploratory programming and anaylsis. Now scientists and engineers can add formatted text, mathematical equations, images, and hyperlinks to create an interactive narrative that can be shared with others.

App Designer provides an enhanced design environment and UI component set for building MATLAB apps. It integrates the two primary tasks of creating an interactive application -laying out the visual components, and programming the behavior of the app.

The generated code is object-oriented, which makes it easier to share data between the different elements of the app, and the compact structure makes it easier to understand and maintain.

Additional MATLAB product family updates include:

  • MATLAB: New multiple y-axis plots, polar plots, and equation visualisation
  • MATLAB: Pause, debug, and resume MATLAB code execution
  • Neural Network Toolbox: Deep learning with convolutional neural networks (CNNs) for image classification tasks using GPU acceleration in Parallel Computing Toolbox
  • Symbolic Math Toolbox: Integration with the MATLAB Live Editor for editing symbolic code and visualising results, and converting MuPAD notebooks to live scripts
  • Statistics and Machine Learning Toolbox: Classification Learner app that trains multiple models automatically, visualises results by class labels, and performs logistic regression classification
  • Control System Toolbox: New and redesigned apps for designing SISO controllers, automatically tuning MIMO systems, and creating reduced-order models
  • Image Acquisition Toolbox: Support for Kinect for Windows v2 and USB 3 Vision
  • Computer Vision System Toolbox: Optical character recognition (OCR) Trainer app, pedestrian detection, and structure from motion and bundle adjustment for 3-D vision
  • Trading Toolbox: Transaction cost analysis for trading, sensitivity, and post-trade execution