AlgebraicJulia/AlgebraicOptimization.jl
Feb 2025 – Apr 2025
3 Months active
Languages Used
JuliaCSVPNG
Technical Skills
Control SystemsData VisualizationIpoptJuMPJulia ProgrammingMathematical Optimization
GrossTrevor
PROFILE
Grosstrevor
Trevor Gross developed and enhanced model predictive control (MPC) features for the AlgebraicJulia/AlgebraicOptimization.jl repository over three months, focusing on agent-based modeling and control systems. He implemented a modular MPC module in Julia using JuMP and Ipopt, refactored state-space dynamics for clarity, and introduced reusable plotting utilities to visualize agent trajectories. Trevor also delivered example simulations, such as flocking and moving formations, with comprehensive documentation and dynamic plotting. His work emphasized code modularization, maintainability, and data export in CSV and PNG formats, resulting in a robust, well-documented codebase that supports both demonstration and further research in mathematical optimization.
Overall Statistics
Feature vs Bugs
100%Features
Repository Contributions
13Total
Bugs
0
Commits
13
Features
8
Lines of code
19,274
Activity Months3
Your Network
6 peopleShared Repositories
6
Work History
April 2025
5 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for AlgebraicOptimization.jl: Delivered two feature-rich examples with enhanced plotting capabilities and documentation, updated dependencies, and improved asset hygiene. The changes strengthen demonstrability for users and contribute to onboarding efficiency, while preserving API stability.
5 Commits • 2 Features
Apr 1, 2025April 2025 monthly summary for AlgebraicOptimization.jl: Delivered two feature-rich examples with enhanced plotting capabilities and documentation, updated dependencies, and improved asset hygiene. The changes strengthen demonstrability for users and contribute to onboarding efficiency, while preserving API stability.
April 2025
March 2025
5 Commits • 5 Features
Mar 1, 2025March 2025 monthly delivery focused on strengthening MPC reliability, plotting clarity, and maintainability in AlgebraicOptimization.jl. Delivered explicit state-space refactor, improved visualization, and reusable plotting utilities, enabling clearer demonstrations and faster analysis. Prepared data-driven demonstrations with sample trajectories to support stakeholder reviews and publications.
March 2025
5 Commits • 5 Features
Mar 1, 2025March 2025 monthly delivery focused on strengthening MPC reliability, plotting clarity, and maintainability in AlgebraicOptimization.jl. Delivered explicit state-space refactor, improved visualization, and reusable plotting utilities, enabling clearer demonstrations and faster analysis. Prepared data-driven demonstrations with sample trajectories to support stakeholder reviews and publications.
February 2025
3 Commits • 1 Features
Feb 1, 2025February 2025: Consolidated model predictive control (MPC) capabilities in AlgebraicOptimization.jl. Delivered a basic MPC module 'simple_mpc' using JuMP and Ipopt with horizon-based optimization, added a target-state objective, and plotting of control inputs to visualize MPC behavior. Upgraded dependencies and corrected variable declarations to fix integration issues. Achieved initial convergence improvements by factoring state updates at each step and adding graphs; included an initial sample function (not tested) to validate the MPC workflow.
3 Commits • 1 Features
Feb 1, 2025February 2025: Consolidated model predictive control (MPC) capabilities in AlgebraicOptimization.jl. Delivered a basic MPC module 'simple_mpc' using JuMP and Ipopt with horizon-based optimization, added a target-state objective, and plotting of control inputs to visualize MPC behavior. Upgraded dependencies and corrected variable declarations to fix integration issues. Achieved initial convergence improvements by factoring state updates at each step and adding graphs; included an initial sample function (not tested) to validate the MPC workflow.
February 2025
Activity
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Quality Metrics
Correctness87.0%
Maintainability87.6%
Architecture85.4%
Performance75.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
CSVJuliaPNG
Technical Skills
Agent-Based ModelingCode FormattingCode modularizationControl SystemsData ExportData VisualizationDocumentationExample ImplementationIpoptJuMPJulia ProgrammingJulia programmingMathematical OptimizationModel Predictive ControlModel Predictive Control (MPC)
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