linear programming Sentence Examples
- Linear programming is a mathematical technique used to optimize linear functions subject to linear constraints.
- The objective function in linear programming is a linear combination of decision variables.
- The constraints in linear programming are also linear inequalities or equalities.
- Linear programming problems can be solved using various methods, including the simplex method and interior-point methods.
- Linear programming has numerous applications in fields such as economics, engineering, and operations research.
- The goal of linear programming is to find the optimal values of decision variables that maximize or minimize the objective function.
- Linear programming models can be large and complex, requiring specialized software for solution.
- Sensitivity analysis is often performed in linear programming to determine the impact of changes in model parameters on the optimal solution.
- Extensions of linear programming include nonlinear programming, mixed-integer programming, and stochastic programming.
- Linear programming is a powerful tool for solving real-world optimization problems with linear relationships.
linear programming Meaning
Wordnet
linear programming (n)
a mathematical technique used in economics; finds the maximum or minimum of linear functions in many variables subject to constraints
Synonyms & Antonyms of linear programming
No Synonyms and anytonyms found
FAQs About the word linear programming
a mathematical technique used in economics; finds the maximum or minimum of linear functions in many variables subject to constraints
No synonyms found.
No antonyms found.
Linear programming is a mathematical technique used to optimize linear functions subject to linear constraints.
The objective function in linear programming is a linear combination of decision variables.
The constraints in linear programming are also linear inequalities or equalities.
Linear programming problems can be solved using various methods, including the simplex method and interior-point methods.