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The simplex method is an algorithm used for solving linear programming problems, which aim to maximize or minimize a linear objective function subject to linear constraints. It operates on a feasible region defined by these constraints, moving along the edges of the feasible polytope to find the optimal vertex. The method iteratively improves the solution by pivoting between basic feasible solutions until no further improvements can be made. It's widely used due to its efficiency and effectiveness in handling large-scale linear optimization problems.
You can measure things with a linear scale. Practically impossible with a non-linear scale.
Linear is a straight line and non linear could be a curve or anything but a straight line
A linear scale is a scale with equal divisions for equal vales, for example a ruler. A non linear scale is where the relationship between the variables is not directly proportional.
a linear scale is a special kind of ruler that is divided into units of distance a representative..... what ever the scales called lol is a scale that is a ratio and doesn't use words in the measurment... it's an extended version of a large- scale map ex- 1:10 0000