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Linear Programming

Track :

Programming

Lessons no : 17

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What will you learn in this course?
  • Formulate linear programming models for real-world optimization problems using constraints and objective functions
  • Apply graphical methods to solve two-variable linear programming problems efficiently
  • Use simplex algorithm techniques to optimize linear programming problems with multiple variables
  • Identify feasible solutions and optimal points within linear constraint systems
  • Analyze sensitivity and shadow prices to assess the impact of changes in linear programming models
  • Implement linear programming solutions using software tools like Excel Solver or MATLAB
  • Interpret linear programming results to make informed business, engineering, or logistics decisions
  • Develop strategies for solving large-scale linear programming problems in complex systems

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Lessons | 17

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Linear programming is an optimization technique for a system of linear constraints and a linear objective function. An objective function defines the quantity to be optimized, and the goal of linear programming is to find the values of the variables that maximize or minimize the objective function .