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.
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.
The difference is that partial dependency is when a database's attribute is only partially dependent on the primary key. Fully functional dependency is when the attribute is entirely dependent on the key.
Data dependency in DBMS refers to the relationship between different data elements within a database. There are three main types: functional dependency (one attribute determines another), partial dependency (part of a composite key determines other attributes), and transitive dependency (dependency between non-key attributes). Understanding data dependencies is crucial for database normalization and maintaining data integrity.
Not necessarily. While every functional dependency (FD) implies a multivalued dependency (MVD), not every MVD is a functional dependency. MVDs involve more complex relationships between attributes compared to FDs.
Full Dependency:Given a relation R and functional dependency x->y (y is fully functionally dependent on x)there is no any z->y ,where Z is a proper subset of xPartial Dependency:If any proper subset of the key determine any of the non-key attributes then there exist a partial dependency p q->c d (p q is the primary key)p->cq->cp->dq->d
A constraint between two sets of attributes is known as functional dependency in relational database. Determination of functional dependencies is vital in database denormalization, normalization and relational model.
the difference between functional & decorative, is that functional is when a certain accessory is actually used, while decorative is just for showing something
A partial dependency is a dependency where A is functionally dependant on B ( A → B), but there is some attribute on A that can be removed from A and yet the dependacy stills holds. For instance if the relation existed StaffNo, sName → branchNo Then you could say that for every StaffNo, sName there is only one value of branchNo, but since there is no relation between branchNo and staffNo the relation is only partial. In a transitive dependancy is where A → B and B → C, therefore A → C (provided that B → A, and C → A doesn't exist). In the relation staffNo → sName, position, salary, branchNo, bAddress branchNo → bAddress is a transitive dependacy because it exists on StaffNo via BranchNo. That is the difference. A partial dependency is a dependency where A is functionally dependant on B ( A → B), but there is some attribute on A that can be removed from A and yet the dependacy stills holds. For instance if the relation existed StaffNo, sName → branchNo Then you could say that for every StaffNo, sName there is only one value of branchNo, but since there is no relation between branchNo and staffNo the relation is only partial. In a transitive dependancy is where A → B and B → C, therefore A → C (provided that B → A, and C → A doesn't exist). In the relation staffNo → sName, position, salary, branchNo, bAddress branchNo → bAddress is a transitive dependacy because it exists on StaffNo via BranchNo. That is the difference.
The term cock and valve are used interchangeably in the English language. The term cock has in large been replaced with valve with no functional difference between the two.
Disease is any change from a state of health; impaired body function.
a partial airway is caused by a non tramatic mechanisim
ffsdsd
essential diffrence between global and local optimization