MathWorks MATLAB R2018a

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MathWorks MATLAB R2018a

MathWorks MATLAB R2018a | 26.1 Gb

MathWorks introduced Release 2018a (R2018a) with a range of new capabilities in MATLAB and Simulink. R2018a includes two new products, Predictive Maintenance Toolbox for designing and testing condition monitoring and predictive maintenance algorithms, and Vehicle Dynamics Blockset for modeling and simulating vehicle dynamics in a virtual 3D environment. In addition to new features in MATLAB and Simulink, and the new products, this release also includes updates and bug fixes to 94 other products.

- Live functions, documentation authoring, debugging, and interactive controls for embedding sliders and drop-down menus in the Live Editor
- App (UI) testing framework, C++ MEX interface, custom tab completion, and function assistants for advanced software development
MATLAB Online:
- Hardware connectivity for communicating with USB webcams
Econometrics Toolbox:
- Econometric Modeler app for performing time series analysis, specification testing, modeling, and diagnostics
Image Processing Toolbox:
- 3-D image processing and volume visualization
Partial Differential Equation Toolbox:
- Structural dynamic analysis to find natural frequencies, mode shapes, and transient response
Optimization Toolbox:
- Branching methods for solving mixed-integer linear problems faster
Deep Learning
Neural Network Toolbox:
- Support package for importing deep learning layers and networks designed in TensorFlow-Keras
- Long short-term memory (LSTM) networks for solving regression problems, and doing text classification with Text Analytics Toolbox
- Adam, RMSProp, and gradient clipping to improve network training
- Accelerated training for directed acyclic graph (DAG) networks using multiple GPUs and computing intermediate layer activations
Computer Vision System Toolbox:
- Image Labeler app to automate labeling of individual pixels for semantic segmentation
GPU Coder:
- CUDA code generation for networks with directed acyclic graph (DAG) topology and pretrained networks like GoogLeNet, ResNet, and SegNet
- C code generation for deep learning networks on Intel and ARM processors
Data Analytics
Statistics and Machine Learning Toolbox:
- High-density data visualization with scatter plots in the Classification Learner app
- Big data algorithms for kernel SVM regression, computing confusion matrices, and creating nonstratified partitions for cross-validation
Text Analytics Toolbox:
- Multiword phrase extraction and counting, HTML text extraction, and detection of sentences, email addresses, and URLs
- Stochastic LDA model training for large datasets
Predictive Maintenance Toolbox:
- A new product for designing and testing condition monitoring and predictive maintenance algorithms
Simulink Product Family Updates Include:
- Predictive quick insert to connect a recommended block to an existing block in a model
- Simulation Pacing for running simulations at wall clock speed or other specified pace for improved visualization
- Simulation Data Inspector in the Live Editor for directly adding, viewing, and editing plots
Simulink 3D Animation
- Collision detection for sensing collisions of virtual world objects using point clouds, raytracing, and primitive geometries
- Moist air domain and block library to model HVAC and environmental control systems
- Partitioning local solver to increase real-time simulation speed
Automated Driving System Toolbox:
- Driving Scenario Designer app for interactively defining actors and driving scenarios to test control and sensor fusion algorithms
Model Predictive Control Toolbox:
- ADAS blocks for designing, simulating, and implementing adaptive cruise control and lane-keeping algorithms
Vehicle Network Toolbox:
- CAN FD protocol support in Simulink, and XCP over Ethernet to communicate with ECUs from MATLAB or Simulink
Model-Based Calibration Toolbox:
- Powertrain Blockset integration for using measured data to calibrate and generate tables for Powertrain Blockset mapped engines
Vehicle Dynamics Blockset:
- A new product for modeling and simulating vehicle dynamics in a virtual 3D environment
Code Generation
Embedded Coder:
- Embedded Coder dictionary for defining custom code generation configurations for data and functions
- Code Perspective for customizing Simulink desktop for code generation workflows
- Row-major array layout to simplify interfacing generated code with C environments storing arrays in row-major format
- Sparse matrix support to enable more efficient computation using sparse matrices in generated code
- C code generation for machine learning deployment including k-nearest neighbor, nontree ensemble models, and distance calculations with Statistics and Machine Learning Toolbox
Fixed-Point Designer:
- Lookup table optimization for approximating functions and minimizing existing lookup table RAM usage
HDL Coder:
- Matrix support enabling HDL code generation directly from algorithms with two-dimensional matrix data types and operations
Signal Processing and Communications
Signal Processing Toolbox:
- Signal Analyzer app for processing multiple signals and extracting regions of interest from signals
- Vibration signal analysis from rotating machinery using RPM tracking and order analysis
LTE System Toolbox:
- NB-IoT support to model the narrowband Internet of Things transport and physical downlink shared channel
RF Blockset:
- Power amplifier model for capturing nonlinearity and memory effects based on input/output device characteristics
Wavelet Toolbox:
- Continuous and discrete wavelet transform filter banks
Robotics System Toolbox:
- Lidar-based SLAM for localizing robots and map environments using lidar sensors
Verification and Validation
Simulink Requirements:
- Requirements import with ReqIF for importing requirements from third-party tools such as IBM Rational DOORS Next Generation or Siemens Polarion
Simulink Test:
- Coverage aggregation to combine coverage results from multiple test runs
Polyspace Code Prover:
- AUTOSAR support for static analysis of AUTOSAR software components

MathWorks MATLAB R2018a

MathWorks MATLAB R2018a

About MATLAB. MATLAB is a high-performance language for technical computing. It integrates computation, visualization, and programming in an easy-to-use environment where problems and solutions are expressed in familiar mathematical notation. Typical uses include:
- Math and computation
- Algorithm development
- Modeling, simulation, and prototyping
- Data analysis, exploration, and visualization
- Scientific and engineering graphics
- Application development, including Graphical User Interface building
MATLAB is an interactive system whose basic data element is an array that does not require dimensioning. This allows you to solve many technical computing problems, especially those with matrix and vector formulations, in a fraction of the time it would take to write a program in a scalar noninteractive language such as C or Fortran.
The name MATLAB stands for matrix laboratory. MATLAB was originally written to provide easy access to matrix software developed by the LINPACK and EISPACK projects, which together represent the state-of-the-art in software for matrix computation.
MATLAB has evolved over a period of years with input from many users. In university environments, it is the standard instructional tool for introductory and advanced courses in mathematics, engineering, and science. In industry, MATLAB is the tool of choice for high-productivity research, development, and analysis.
MATLAB features a family of application-specific solutions called toolboxes. Very important to most users of MATLAB, toolboxes allow you to learn and apply specialized technology. Toolboxes are comprehensive collections of MATLAB functions (M-files) that extend the MATLAB environment to solve particular classes of problems. Areas in which toolboxes are available include signal processing, control systems, neural networks, fuzzy logic, wavelets, simulation, and many others.

MathWorks MATLAB R2018a

About MathWorks. MathWorks is the leading developer of mathematical computing software. MATLAB, the language of technical computing, is a programming environment for algorithm development, data analysis, visualization, and numeric computation. Simulink is a graphical environment for simulation and Model-Based Design for multidomain dynamic and embedded systems. Engineers and scientists worldwide rely on these product families to accelerate the pace of discovery, innovation, and development in automotive, aerospace, electronics, financial services, biotech-pharmaceutical, and other industries. MATLAB and Simulink are also fundamental teaching and research tools in the world's universities and learning institutions. Founded in 1984, MathWorks employs more than 3500 people in 15 countries, with headquarters in Natick, Massachusetts, USA.

Product: MathWorks MATLAB
Version: R2018a (version 2DVD
Supported Architectures: x64
Website Home Page : www.mathworks.com
Language: english
System Requirements: PC / Linux
Supported Operating Systems: Windows 7even or newer, Windows Server 2012 (R2) or 2016 / Ubuntu 14.04 LTS, 16.04 LTS, and 17.10, Red Hat Enterprise Linux 6 and 7, SUSE Linux Enterprise Desktop 12 or Server 12
Size: 26.1 Gb

- Windows Server 2008 R2 is not supported as of R2018a.
- Support for Windows 8.1 will be discontinued as of R2018b.
- Ubuntu 17.10 is supported as of R2018a.
- SUSE Linux Enterprise Server 12 is supported as of R2018a.

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MathWorks MATLAB R2018a