Matlab 2018b

MATLAB

  • Live Editor: Additional heading styles, internal hyperlinks, file merging, and interactive table filtering
  • App Building: Scrollable containers, custom figure interactions, tooltips, grid layout manager, and local file upload in deployed web apps
  • Web Apps: Share App Designer MATLAB programs as web apps using MATLAB Compiler
  • String Arrays: Use string arrays in MATLAB, Simulink, and Stateflow
  • Python Interface: Pass multidimensional numeric or logical arrays between MATLAB and Python

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Matlab 2018b

MATLAB Online

  • Communicate with Raspberry Pi hardware board from MATLAB Online

Database Toolbox

  • Interface for Apache Cassandra Database: Explore keyspaces and tables of a Cassandra database and import data as MATLAB types
  • Customize Import Options: Define and customize an import strategy for relational database data and avoid post-processing steps on imported data

Global Optimization Toolbox

  • surrogateopt Solver: Solve time-consuming bound-constrained optimization problems using fewer objective function evaluations
  • paretosearch Multiobjective Solver: Find Pareto sets quickly and accurately for problems with bound, linear or smooth nonlinear constraints

MATLAB Compiler

  • Web Apps: Upload and download files between the browser and the server-based deployed web app

MATLAB Production Server

  • High-Speed Persistence Storage: Cache and store data in-between calls
  • Azure Active Directory Support: Specify access control to individual deployed archives

Model Predictive Control Toolbox

  • Nonlinear MPC: Design and simulate model predictive controllers​ with nonlinear prediction models, constraints, and cost functions

Statistics and Machine Learning Toolbox

Matlab 2018b

  • Big Data Algorithms: Fit multiclass classification models and perform hyperparameter optimization
  • Code Generation: Update a deployed SVM model without regenerating code​ (requires MATLAB Coder)
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Text Analytics Toolbox

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  • Japanese Language Support: Perform text analytics on Japanese language text including tokenization, stop words, lemmatization, and part-of-speech tagging​
  • Parse HTML: Extract HTML from specific parts of a web page using HTML structure and CSS classes