How to Solve Linear Programming Problems in IBM ILOG CPLEX Optimization Studio (OPL Tutorial) скачать в хорошем качестве

How to Solve Linear Programming Problems in IBM ILOG CPLEX Optimization Studio (OPL Tutorial)

#LinearProgramming #LP #Cplex Code + Related Files: https://github.com/hakeemrehman/IBM-I... Learn how to solve Linear Programming (LP) problems using IBM ILOG CPLEX Optimization Studio (OPL) in this detailed, step-by-step tutorial. This video walks you through creating a new project, writing LP model code in Optimization Programming Language (OPL), running the model, and analyzing the results using CPLEX Solvers. 💡 What You’ll Learn: 0:00 – Introduction to Linear Programming and OPL 1:00 – Creating a New Project in CPLEX Studio 2:20 – Writing the LP Model (Decision Variables, Objective Function, Constraints) 5:00 – Running the Model and Viewing Results 6:30 – Understanding the Solution and Statistics Tabs 8:00 – Performing Sensitivity Analysis (Reduced Costs & Shadow Prices) 10:00 – Summary and Key Takeaways 🎯 Key Features of IBM ILOG CPLEX OPL: Built-in CPLEX Solver for Linear & Mixed Integer Programming Graphical Output Windows (Solution & Statistics) Post-processing tools for sensitivity and dual analysis 📚 Example Problem: Maximize Z = 3x₁ + 5x₂ Subject to: x₁ + 2x₂ ≤ 8 3x₁ + 2x₂ ≤ 12 x₁, x₂ ≥ 0 📎 Useful Links: 🔗 Download IBM ILOG CPLEX Optimization Studio: https://www.ibm.com/products/ilog-cpl... 🔗 IBM Academic Initiative (Free Access for Students): https://www.ibm.com/academic 🎓 Best For: Operations Research & Optimization Students Supply Chain & Industrial Engineers Data Scientists and Analysts learning LP Modeling #CPLEX #IBMCplex #LinearProgramming #OperationsResearch #Optimization #OPL #MixedIntegerProgramming #ConstraintProgramming #DataScience #supplychainanalytics Q: How can I solve linear programming problems in IBM ILOG CPLEX Optimization Studio? A: To solve LP problems in CPLEX, create a new project in OPL, define decision variables, the objective function, and constraints in an .mod file. Run the model to get results in the Solution and Statistics tabs. For post-analysis, check reduced costs and shadow prices under the sensitivity analysis results. 👍 Like, 💬 Comment, and 🔔 Subscribe for more practical tutorials on optimization and analytics tools!