Linear Programming Homework Help

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The simplest way to perform optimization is Linear Programming. It is sometimes also known as linear optimization. Linear programming uses linear mathematical model for optimization of an outcome based on some set of constraints. It focuses on finding the value of the variable that maximizes or minimizes a given a linear objective function over a convex polyhedron subject to bound, linear inequality and inequality constraints. Steps for defining a linear programming variable given by Linear Programming Homework Help are

• First step involves identifying the decision variables.
• Writing the objective function.
• Mentioning the constraints. Examples can be found at Linear Programming Homework Help.
• Lastly, stating the non negative constraints explicitly.

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Common Terminologies Used in Linear Programming


Some common terminologies used in linear programming given by Linear Programming Homework Help are

• Decision Variables- The variables which decide the output are known as decision variables. These variables determine ultimate solution. For solving any problem, the decision variables have to be identified first. For example, the total number of units for X and Y denoted by M and N represents decision variables.

• Objective Function- Objective function is the objective of making decisions. For example, if the company wishes to increase the total sales represented by A. So here A is the objective variable.

• Constraints- The limitations or restrictions on linear variables are known as constraints.

• Non negative restrictions- For all linear programs, the value of decision value should be greater than or equal to zero. In other words, decision variables should always take non negative value.

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