Coursera Flash Sale
40% Off Coursera Plus for 3 Months!
Grab it
Explore the latest developments in ModelingToolkit.jl, a Julia library for symbolic-numeric computation that enables users to specify optimization problems, ODE/DAE problems, nonlinear problems, jump problems, and more as symbolic systems. Discover how this 29-minute conference talk from JuliaCon Global 2025 by Aayush Sabharwal covers significant updates including more robust initialization across all problem types, callable parameters, new structural_simplify passes, and automatic code generation targeting SCCNonlinearProblem infrastructure from NonlinearSystems. Learn about the new code generation capabilities for HomotopyContinuation.jl integration and examine the codebase refactoring efforts that improve maintainability and accessibility for new contributors through comprehensive internal documentation. Gain insights into ongoing discussions about user experience improvements, semantic guarantees of public API functions, and the strategic future direction of both the library and the broader ecosystem, while understanding key lessons learned during the development of new features and the roadmap for addressing existing issues and implementing upcoming enhancements.
