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What else can I help you with?
What is The first step in formulating a linear programming problem?
identifying any upper or lower bounds on the decision variables
Can a linear programming problem have exactly two optimal solutions?
Yes, a linear programming problem can have exactly two optimal solutions. This will be the case as long as only two decision variables are used within the problem.
What is the graph of a linear inequality in two variables called?
A bivariate linear inequality.
32x plus 60y 1116?
It could be a linear equation in two variables. A single linear equation in two variables cannot be solved.
What are two or more linear equations using the same variables called?
A system of linear equations.
What is The first step in formulating a linear programming problem?
identifying any upper or lower bounds on the decision variables
Why was there a need to invent linear equation in two variables?
If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.If two variables are related, then the simplest relationship between them is a linear one. The linear equation expresses such a relationship.
How can one formulate the shortest path problem as a linear program?
To formulate the shortest path problem as a linear program, you can assign variables to represent the decision of which paths to take, and set up constraints to ensure that the total distance or cost of the chosen paths is minimized. The objective function would be to minimize the total distance or cost, and the constraints would include ensuring that the chosen paths form a valid route from the starting point to the destination. This linear program can then be solved using optimization techniques to find the shortest path.
What are the importance of linear equation?
They are the simplest form of relationship between two variables. Non-linear equations are often converted - by transforming variables - to linear equations.
Can a linear programming problem have exactly two optimal solutions?
Yes, a linear programming problem can have exactly two optimal solutions. This will be the case as long as only two decision variables are used within the problem.
When formulating a linear programming model on a spreadsheet the measure of performance is located in the target cell?
Yes, in a linear programming model on a spreadsheet, the measure of performance is typically located in the target cell, which is often the cell that you are trying to either maximize or minimize by changing the decision variables. The goal is to optimize the measure of performance by finding the best values for the decision variables based on the constraints of the model.
Characteristics of linear programming model?
1- single quantifiable objective ( Maximization of contribution) 2- No change in variables used in analysis 3- products are independent of each other 4- applicable in short term
What degree are linear variables?
The word "Linear" means "of degree one".
What is the difination of linear function?
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.
What is a summary of linear programming?
It is a process by which a linear function of several variables, called the objective function, is maximised or minimised when it is subject to one or more linear constraints in the same variables.
How do you determine if a fuction is linear or non linear?
I your highest power of your variables is 1 then it is linear. y=x+5 is linear
What is the graph of a linear inequality in two variables called?
A bivariate linear inequality.
