Posts published on my LinkedIn account
- Optimal Generation of Daily Schedules
- Operations Research and Project Management
- Mathematical Model of the Scheduling Problem
- Scheduling and Timetable Generation
- Assigning Problems - A Classic Optimization Challenge
- Knapsack Problems: Extensions and Variants
- AMPL, A Mathematical Programming Language
- Key Takeaways from AMPL's 2026 Roadmap
- Diversity of Mathematical Programming Languages
- Value of the NEOS Server for Operations Research
- Revised Simplex or Interior Point Method?
- Integer Programming: Lessons from Computational Mathematics
- Computational Perspective of LP in MILP
- Fifty Years of Integer Linear Programming
- Why sparse linear equations?
- Branch-and-Price Free Access Book
- PDLP: A Practical First-Order Method for Large-Scale Linear Programming
- Open Source Linear Programming Solvers
- Commercial Linear Programming Solvers
- Gurobi as the Gold Standard in Mathematical Optimization
- Parallelism in Gurobi's Optimization Engine
- Progress in mathematical programming solvers from 2001 to 2020
- Yumbo. Scheduling, Planning and Resource Allocation
- Yumbo. Input Parameters for Efficient Scheduling
- Yumbo. Expert Availability and Preferences
- Yumbo. Schedules for Project Managers
- Yumbo. Schedules for Developers
- Yumbo. Expert's satisfaction with workload
- Yumbo's evolution. From Concept to Maturity
- Yumbo. Significance of Advanced Reporting
- Yumbo. Features of Mathematical Model
- Yumbo. Details of Mathematical Model
- Python for Data Scientists
- Streamlit for Data Scientists
- Pyomo - Optimization Modeling in Python
- Machine Learning Engineering