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# Linear Programming Assignment Help | Linear Programming Homework Help

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### Linear Programming Explained

Linear Programming is a method to achieve the best outcome in a mathematical model whose requirements are represented by linear relationships. Linear Programming through its application has become one of the important and complex areas in Statistics. Linear programming is a widely used field of optimization for several reasons. Many practical problems in operations research can be expressed as linear programming problems. Linear programming was used extensively to deal with transportation, scheduling, and allocation of resources subject to certain restrictions such as costs and availability.

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• Decision Variable : These are variables that decide output and represent the ultimate solution
• Objective Function : It is described as the goal of making decisions.
• Constraints : Limitations or restrictions on decision variables.
• Non-Negativity Restriction : For linear programs, decision variables have to take non-negative values.

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### Benefits Of Linear Programming Techniques

Linear Programming is used to acquire the most optimal solution to an issue with certain constraints. Hire our Linear Programming Experts to use linear programming to formulate real-life problems into a model that is mathematically constituted. They will use an objective function, linear inequalities, and focus on constraints.

Linear Programming Techniques can be used in various industries: In manufacturing industries, it is used to analyse supply chain operations. Businesses can use the model to adjust the workforce, lower the bottleneck and configure storage layout. In retail it is used for shelf space optimization to locate and select the right product.

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