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MathWorks MATLAB R2020b v126.96.36.1997703 | 20.8 GB
Millions of engineers and scientists worldwide use MATLAB to analyze and design the systems and products transforming our world. MATLAB is in automobile active safety systems, interplanetary spacecraft, health monitoring devices, smart power grids, and LTE cellular networks. It is used for machine learning, signal processing, image processing, computer vision, communications, computational finance, control design, robotics, and much more.
Math. Graphics. Programming.
The MATLAB platform is optimized for solving engineering and scientific problems. The matrix-based MATLAB language is the world’s most natural way to express computational mathematics. Built-in graphics make it easy to visualize and gain insights from data. A vast library of prebuilt toolboxes lets you get started right away with algorithms essential to your domain. The desktop environment invites experimentation, exploration, and discovery. These MATLAB tools and capabilities are all rigorously tested and designed to work together.
Scale. Integrate. Deploy.
MATLAB helps you take your ideas beyond the desktop. You can run your analyses on larger data sets and scale up to clusters and clouds. MATLAB code can be integrated with other languages, enabling you to deploy algorithms and applications within web, enterprise, and production systems.
Key FeaturesHigh-level language for scientific and engineering computingDesktop environment tuned for iterative exploration, design, and problem-solvingGraphics for visualizing data and tools for creating custom plotsApps for curve fitting, data classification, signal analysis, and many other domain-specific tasksAdd-on toolboxes for a wide range of engineering and scientific applicationsTools for building applications with custom user interfacesInterfaces to C/C++, Java®, .NET, Python®, SQL, Hadoop®, and Microsoft® Excel®Royalty-free deployment options for sharing MATLAB programs with end users
MATLAB is the easiest and most productive software for engineers and scientists. Whether you’re analyzing data, developing algorithms, or creating models, MATLAB provides an environment that invites exploration and discovery. It combines a high-level language with a desktop environment tuned for iterative engineering and scientific workflows.
MATLAB Speaks Math
The matrix-based MATLAB language is the world’s most natural way to express computational mathematics. MATLAB supports both numeric and symbolic calculations. Linear algebra in MATLAB looks like linear algebra in a textbook; symbolic calculations look like the equations you write on paper. This makes it straightforward to capture the mathematics behind your ideas, which means your code is easier to write, easier to read and understand, and easier to maintain.
You can trust the results of your computations. MATLAB, which has strong roots in the numerical analysis research community, is known for its impeccable numerics. A MathWorks team of 350 engineers continuously verifies quality by running millions of tests on the MATLAB code base every day.
MATLAB does the hard work to ensure your code runs quickly. Math operations are distributed across multiple cores on your computer, library calls are heavily optimized, and all code is just-in-time compiled. You can run your algorithms in parallel by changing for-loops into parallel for-loops or by changing standard arrays into GPU or distributed arrays. Run parallel algorithms in infinitely scalable public or private clouds with no code changes.
The MATLAB language also provides features of traditional programming languages, including flow control, error handling, object-oriented programming, unit testing, and source control integration.
MATLAB Is Designed for Engineers and Scientists
MATLAB provides a desktop environment tuned for iterative engineering and scientific workflows. Integrated tools support simultaneous exploration of data and programs, letting you evaluate more ideas in less time.
You can interactively preview, select, and preprocess the data you want to import.An extensive set of built-in math functions supports your engineering and scientific analysis.2D and 3D plotting functions enable you to visualize and understand your data and communicate results.MATLAB apps allow you to perform common engineering tasks without having to program. Visualize how different algorithms work with your data, and iterate until you’ve got the results you want.The integrated editing and debugging tools let you quickly explore multiple options, refine your analysis, and iterate to an optimal solution.You can capture your work as sharable, interactive narratives.
Comprehensive, professional documentation written by engineers and scientists is always at your fingertips to keep you productive. Reliable, real-time technical support staff answers your questions quickly. And you can tap into the knowledge and experience of over 100,000 community members and MathWorks engineers on MATLAB Central, an open exchange for MATLAB and Simulink® users.
MATLAB and add-on toolboxes are integrated with each other and designed to work together. They offer professionally developed, rigorously tested, field-hardened, and fully documented functionality specifically for scientific and engineering applications
MATLAB Integrates Workflows
Major engineering and scientific challenges require broad coordination to take ideas to implementation. Every handoff along the way adds errors and delays.
MATLAB automates the entire path from research through production. You can:Build and package custom MATLAB apps and toolboxes to share with other MATLAB users.Create standalone executables to share with others who do not have MATLAB.Integrate with C/C++, Java, .NET, and Python. Call those languages directly from MATLAB, or package MATLAB algorithms and applications for deployment within web, enterprise, and production systems.Convert MATLAB algorithms to C, HDL, and PLC code to run on embedded devices.Deploy MATLAB code to run on production Hadoop systems.
MATLAB is also a key part of Model-Based Design, which is used for multidomain simulation, physical and discrete-event simulation, and verification and code generation.
Deep Learning HDL Toolbox - Prototype and deploy deep learning networks on FPGAs and SoCsLidar Toolbox - Design, analyze, and test lidar processing systemsRoadRunner Scene Builder - Automatically generate 3D road models from HD mapsUAV Toolbox - Design, simulate, and deploy UAV applications
MATLAB Graphics - Use new bubble and swarm charts, and customize charts with new options for titles, labels, and axis limits.MATLAB App Building - Diff and merge App Designer apps, and add custom figure icons and custom components to your MATLAB apps.GPU Coder - Simulate and deploy Simulink models to NVIDIA® GPUsMapping Toolbox - Build 3D map displays with basemaps and convert geographic data between coordinate reference systemsModel Predictive Control Toolbox - Simulate and generate code for MPC controllers with FORCES PRO solvers developed by EmbotechOptimization Toolbox - Solve optimization problems using a Live Editor task. Apply automatic differentiation to nonlinear expressionsRF Blockset - Model transceiver antennas, including frequency-dependent impedance and far-field radiation patternRF Toolbox - Design RF transceivers using nonlinear harmonic balance analysis in the RF Budget Analyzer appSensor Fusion and Tracking Toolbox - Design, simulate, and test multisensor tracking and positioning systems in autonomous and surveillance applicationsSerDes Toolbox - Model jitter and cross-talk in time-domain simulation and statistical analysis of SerDes systemsSimBiology - Build models interactively in a single consolidated view using SimBiology Model BuilderSimscape - Model and simulate multidomain physical systemsSimulink Check - Assess completeness of requirements-based testing activities for ISO 26262 or DO-178C with testing dashboardSimulink Online - Use Simulink through your web browserSimulink Real-Time - Discover new 64-bit RTOS, explorer, graphical instrumentation, and signal loggingStatistics and Machine Learning Toolbox - Use AutoML for classification and regression, LIME interpretability, and native Simulink blocks for SVM prediction
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