Independent variables are the input value of a function (usually x) and dependent variables are the output value of the function (usually y).
variables
In optimization models, the formula for the objective function cell directly references decision variables cells. In complicated cases there may be intermediate calculations, and the logical relation between objective function and decision variables be indirect.
Straight line equations have two variables in the form of x and y
what are the classification of variables
A linear function is any function that graphs to a straight line. What this means mathematically is that the function has either one or two variables with no exponents or powers. If the function has more variables, the variables must be constants or known variables for the function to remain a linear function.
Independent variables are the input value of a function (usually x) and dependent variables are the output value of the function (usually y).
The set of independent variables of a function is the input values that can be freely chosen or manipulated to calculate the corresponding output values. These variables are not dependent on other variables within the function and are usually denoted by symbols such as x or t in algebraic expressions.
The variables which are declared outside the main() function is known as global variables and they can be used anywhere in the program. And, the variables which used declare inside the main() function is known as local variables and they can be used inside the main() function only. Example: #include<stdio.h> #include<conio.h> int x,y; // global variables void main() { int a,b; // Local variables ------------ ---------------------- --------------------- getch(); }
Local function variables defined static remain in memory at all times. Such variables are only in scope (accessible) when the function itself is in scope.
If the variable is local to the function it exists until the function returns.
variables
The types of variables according to functional relationship are independent variables and dependent variables. Independent variables are inputs that are manipulated or controlled in an experiment, while dependent variables are the outputs that are affected by changes in the independent variables.
In optimization models, the formula for the objective function cell directly references decision variables cells. In complicated cases there may be intermediate calculations, and the logical relation between objective function and decision variables be indirect.
When it doesn't fulfill the requirements of a function. A function must have EXACTLY ONE value of one of the variables (the "dependent variable") for every value of the other variable or variables (the "independent variable").
When it doesn't fulfill the requirements of a function. A function must have EXACTLY ONE value of one of the variables (the "dependent variable") for every value of the other variable or variables (the "independent variable").
Straight line equations have two variables in the form of x and y