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What else can I help you with?
Can a linear programming problem have multiple solutions?
Yes. If the feasible region has a [constraint] line that is parallel to the objective function.
What are synonyms for constraint?
Some synonyms for constraint are limitation, restriction, and confinement.
What is the minimum number of constraints a linear programming problem can have?
One. To be a (non-trivial) linear programming problem both the objective function and the constraints must be linear. If there were no constraints then the objective function could be made arbitrarily large or arbitrarily small. (Think of a line in two-space.) By adding one constraint the objective function's value can be limited to a finite value.
Can you give me an example of a linear optimization graph with 2 optimal solutions?
In a linear optimization graph, two optimal solutions can occur when the objective function line is parallel to a constraint line at the vertex of the feasible region. For example, consider a feasible region defined by constraints forming a polygon with one edge being a constraint line. If the objective function is maximized along that edge, any point along that edge within the feasible region will yield the same optimal value, resulting in multiple optimal solutions.
What is the difference between a geometric constraint and a numeric constraint?
Dealing with engineering or CAD, a geometric constraint deals with constraints such as parallel or perpendicularity. A numeric constraint deals with distances and size. Width, length, and depth are examples of these.--------Geometric constraints are constant, non-numerical relationships between the parts of a geometric figure. Numeric constraints are number values, or algebraic equations that are used to control the size or location of a geometric figure :)
How do you interpret a shadow price of zero?
If there is a shadow price of zero it means it is a non binding constraint and the RHS of the constraint can be changed up to the allowable increase or decrease without changing the value of the objective function.
How can one derive the Marshallian demand function from a given utility function?
To derive the Marshallian demand function from a utility function, you can use the concept of marginal utility and the budget constraint. By maximizing utility subject to the budget constraint, you can find the quantities of goods that a consumer will demand at different prices. This process involves taking partial derivatives and solving for the demand functions for each good.
Can a linear programming problem have multiple solutions?
Yes. If the feasible region has a [constraint] line that is parallel to the objective function.
What does a binding Constraint mean?
A binding constraint is a restriction that must be satisfied for a system to operate properly. It is a limit or condition that cannot be exceeded without risking negative consequences. In other words, it is a rule or requirement that must be followed to ensure the functionality or integrity of a system.
What is a redundant constraint?
A constraint which is not required or is extra, presence or absence of such a constraint does not effect the solution of problem
What is social design constraint?
what is social design constraint
What is the difference between a column constraint and a table constraint?
column constraint is for a single column. table constraint is for an entire table.
What is a factor that limits technology design?
A constraint
What constraint would you use to place a pin inside a hole?
Tweezer constraint
What constraint would you use to place a pin inside a hole'?
Tweezer constraint
Which are the countries facing land constraint issues?
Thailand is facing land constraint
What three types of constraints can be applied to CAD sketchs or models?
Geometric Constraint, Parametric Constraint, and Assembly Constraint
