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Systems of equations calculator matrices.

A) Cramer's rule
B) Linear programming
C) Polynomial regression
D) Exponential growth

User Rwitzel
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Final answer:

Cramer's rule is used to solve systems of linear equations using matrices. Linear programming optimizes a linear objective function subject to linear constraints. Polynomial regression models non-linear relationships using polynomial equations. Exponential growth follows a constant growth rate.

Step-by-step explanation:

The linear equations in Cramer's rule involves systems of equations calculator matrices. It is a method used to solve a system of linear equations using determinants. Cramer's rule involves creating a matrix of coefficients and calculating the determinants of different matrices to determine the values of the variables in the system.

Linear programming is a method used to optimize a linear objective function subject to linear constraints. It involves allocating limited resources in such a way that the objective function is maximized or minimized.

Polynomial regression is a technique used to model the relationship between a dependent variable and one or more independent variables using a polynomial equation. It is commonly used when the relationship between the variables is not linear.

Exponential growth refers to a situation where a quantity increases or decreases by a fixed percentage over a fixed period. The growth follows an exponential function, which is characterized by a constant growth rate.

User Bishan
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