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ty for answering.

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The objective of linear programming (LP) is to optimize a linear objective function while satisfying linear constraints. It focuses on problems with linear relationships. LP differs from other optimization techniques because it specifically deals with linear equations and inequalities in both the objective and constraints. It's efficient for linear problems but less suitable for non-linear, discrete, or more complex situations. LP has well-established algorithms, widespread applications, and is distinct from other techniques like nonlinear programming, integer programming, and dynamic programming that address different types of optimization problems.

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yeah thats right

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maximize profit while minimizing cost

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the primary objective of linear programming is to optimize linear objectives while satisfying linear constraints. Its key differentiators from other optimization techniques lie in its focus on linearity, solving approach, scope, efficiency, and assumptions. Other techniques offer solutions for problems with different complexities and characteristics beyond the linear relationships and constraints of linear programming.

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maximing profit, while minimizing cost

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Maximize or minimize the numerical value is the main goal of linear programming. Using a changing set of choice variables, we try to find the best value for a linear objective function for a system of linear constraints using linear programming or linear optimization.

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