: Optimizations to the F4 algorithm provided a 33% faster performance on quad-core systems by increasing parallel speedup.
: A new package based on Qhull for computing convex hulls, Voronoi diagrams, and Delaunay triangulations. Maple 2018.0
: For the first time, Maple provided direct access to a Python interpreter, enabling users to execute Python scripts and retrieve results within the Maple environment. : Optimizations to the F4 algorithm provided a
: Substantial updates were made to the built-in code editor, including automatic text wrapping, inline error marking, and the integration of the mint code analysis tool to identify issues like unused variables or unreachable code. New Mathematical Packages and Capabilities : Substantial updates were made to the built-in
: This side panel analyzes selected mathematical expressions to offer relevant operations—such as solving for variables, plotting, or converting units—without requiring knowledge of Maple syntax.
: New methods allowed for closed-form solutions to four new classes of second-order nonlinear ODEs and expanded support for PDEs in three independent variables. Connectivity and Security