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A graph is an abstract data type that can effectively represent many-to-many relationships. In a graph, nodes (or vertices) represent entities, while edges represent the connections or relationships between them, allowing for multiple connections between different nodes. This structure is ideal for modeling complex relationships, such as social networks or collaborative systems, where numerous entities interact with one another in various ways.
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What is an abstract interface?
An abstract interface is an interface which has a one-to-many relation - providing multiple paths from a single location to multiple locations.
Is a linked list a physical data structure?
Physical data structures are how data is organized on a hardware storage device, and therefore how they appear to the computer. Logical or virtual data structures are software-based objects, and how the user or program sees it. Although many file systems use a type of linked list format for storing information, a linked list is used for both hardware and software purposes, and therefore it cannot fall under either the physical or virtual data structure classification.
How do you represent a node in a singly linked list?
One of many possible examples: struct linked_list_node { int data; struct linked_list_node *next; };
Difference between Data Type and Abstract Data Type?
A data type tends to mean a primitive data type. Primitive data are built-in data types, such as integers, characters and Booleans. They are basic constructs of the language (that is, they are built into the language). Primitive data also tends to be of a strict data type, meaning you can't treat characters like integers or Booleans like integers, etc., although some languages will support implicit casting of primitive data types (for example, will treat Booleans like integers if you use a Boolean in an arithmetic operation). Abstract data types are generally constructed by the user or by a higher level language. For example, you might create a currency data type, which generally acts like a float but always has a precision of 2 decimal places and implements special rules about how to round off fractions of a cent. Abstract data types also often contain the ability to either be treated as a specific type of primitive data in certain circumstances (for example, many languages allow you to treat strings as character arrays); or contain certain rules / methods to manipulate their data (such as a programming language allowing you to cast a float as an integer). A data structure is a gathering together of many different data types. For example, objects and arrays are data structures. Data structures usually can contain information of many different types (such as strings, integers, Booleans) at the same time, and in more complex structures -- namely, classes -- can contain specific methods, properties and events to manipulate that data, change its type, etc.
What are pictorial figures that represent programs?
There are many such systems of diagrams used to aid program design (e.g. data flow diagrams, entity relationship diagrams, control flow diagrams, flowcharts).
Which can be used to represent a many to many relation with abstract data types?
tree
What is an abstract interface?
An abstract interface is an interface which has a one-to-many relation - providing multiple paths from a single location to multiple locations.
Why the tuples in a relation are not ordered?
A relation is defined as a set of tuples. Mathematically, elements of a set have no order among them; hence, tuples in a relation do not have any particular order. In other words, a relation is not sensitive to the ordering of tuples. Tuple ordering is not part of a relation definition because a relation attempts to represent facts at a logical or abstract level. Many logical orders can be specified on a relation but there is no preference for one logical ordering over another.
Why are tuples in a relation not ordered?
A relation is defined as a set of tuples. Mathematically, elements of a set have no order among them; hence, tuples in a relation do not have any particular order. In other words, a relation is not sensitive to the ordering of tuples. Tuple ordering is not part of a relation definition because a relation attempts to represent facts at a logical or abstract level. Many logical orders can be specified on a relation but there is no preference for one logical ordering over another.
Which data structure represent many to many relationship?
tree
What is a one-to-many relation many-to-one relation many-to-many relation in mathematics?
Given a relational db table that contains data about patients at a doctor's office, and a second table that contains data about prescriptions, do you think that a relationship can be established between the two tables? If so, explain whether the relationship is 1 to 1, 1 to many or many to many.
What does the mean absolute deviation represent?
how many numbers your data is away from your mean
What is the difference between relation and table in data base?
Table is where the data is stored and in a well designed schema a table represents some real world object such as CUSTOMER, ORDER, etc., Now the real world objects have relationships. For example, a CUSTOMER has many ORDERS. To represent this relationship a database relationship was invented.
How many miles does one inch represent?
The conversion between miles and inch are given .On finding the relation we get as follows . 1 mile =63360 inches.
Explain difference between serial and data transmission using diagrams?
You can collect data in many different forms. Data : is abstract inputs like letters , digits, names, etc., and has no meaning, but information is the data after being arranged, processed and adjusted , and it becomes meaningful and useful.
What is difference between alogrithm and pseudo code?
An algorithm is an abstract set of rules used to solve a specific problem. Pseudocode is just one of many ways to represent an algorithm.
What does RTW audio metering do?
RTW audio metering devices are used to visually represent sound data that the device picks up. The data can then be used for many purposes, as the data will typically be more accurate than the human ear.
