A functional dependency is defined as a constraint between two sets of attributes in a relation from a database.
Given a relation R, a set of attributes X in R is said to functionally determine another attribute Y, also in R, (written X→ Y) if and only if eachX value is associated with at most oneY value.
A functional dependency X --> Y is full functional dependency if removal of any attribute 'k' from X means that the dependency does not hold any more. Full functional dependency is minimal in size.
Partial Functional Dependency Indicates that if A and B are attributes of a table, B is partially dependent on A if there is some attribute that can be removed from A and yet the dependency still holds.
A key is a set of attributes that uniquely identifies an entire tuple, a function dependency allow us to express constraints that uniquely identify the values of certain attribute.
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I think that functional area is a place where people works and a management function is a people who manage...
Managing the quantity of labour used
Very little. An algorithm is a method that has been expressed in a detailed, unambiguous form.
The difference between functional and nonfunctional is ... functional mostly depends on the domain or x- value in a coordinate- (x,y). I one of the x-values are the same number then the equation becomes NONFUNCTIONAL-for example: (-2,4), (-1,9) (-2,5). Those coordinates would be nonfunctional because there were 2 (-2s). It doesn't matter if the y value -(x,Y) is the same just as long as the x values are differnt numbers it will be functional.
ordinary differential equation is obtained only one independent variable and partial differential equation is obtained more than one variable.