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Computer Science A-level > Fundamentals of data structures > Flashcards

Fundamentals of data structures Flashcards

1
Q

Data structures

A

A data structure is a format used to store, organise and manage data in a way that allows efficient access and modification for the needs of the program.

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2
Q

Arrays

A

A data structure for storing a finite, ordered set of data of the same data type within a single identifier.

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3
Q

Multi-dimensional arrays

A

An array where each data item is located using multiple indices.

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4
Q

Single-dimensional arrays

A

An array where each data item can be located using a single index.

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5
Q

Binary file

A

An organised collection of records where data is stored in binary.

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6
Q

Fields

A

A single item of data.

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7
Q

Records

A

A data structure that stores multiple fields, organised based on attributes, within a single line of a file.

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8
Q

Text file

A

An organised collection of records where data is stored in human-readable characters.

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9
Q

Dictionaries

A

A data structure consisting of a set of keys that are mapped to their corresponding values.

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10
Q

Dynamic structures

A

A data structure whose memory allocation size can change throughout the execution of the program.

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11
Q

Graphs

A

A data structure consisting of a set of vertices/nodes connected by a set of edges/arcs.

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12
Q

Hash tables

A

A data structure where a hashing algorithm creates a mapping between keys and values. The data item can then be directly accessed by recalculation, without any search.

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13
Q

Queues

A

A first-in-first-out (FIFO) dat structure. The first item added/pushed on to the queue is the first to be removed/popped off.

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14
Q

Stacks

A

A last-in-first-out (LIFO) data structure. The last item added/pushed is the first to be removed/popped off.

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15
Q

Static structures

A

A data structure that is allocated a fixed amount of memory space, which does not change throughout the execution of the program.

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16
Q

Trees

A

A data structure that uses a set of linked nodes to form a hierarchical structure starting at the root node. Each node is a child/sub-node of a parent node.

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17
Q
A
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18
Q

Data structures

A

A data structure is a format used to store, organise and manage data in a way that allows efficient access and modification for the needs of the program.

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19
Q

Arrays

A

A data structure for storing a finite, ordered set of data of the same data type within a single identifier.

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20
Q

Multi-dimensional arrays

A

An array where each data item is located using multiple indices.

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21
Q

Single-dimensional arrays

A

An array where each data item can be located using a single index.

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22
Q

Binary file

A

An organised collection of records where data is stored in binary.

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23
Q

Fields

A

A single item of data.

24
Q

Records

A

A data structure that stores multiple fields, organised based on attributes, within a single line of a file.

25
Text file
An organised collection of records where data is stored in human-readable characters.
26
Dictionaries
A data structure consisting of a set of keys that are mapped to their corresponding values.
27
Dynamic structures
A data structure whose memory allocation size can change throughout the execution of the program.
28
Graphs
A data structure consisting of a set of vertices/nodes connected by a set of edges/arcs.
29
Hash tables
A data structure where a hashing algorithm creates a mapping between keys and values. The data item can then be directly accessed by recalculation, without any search.
30
Queues
A first-in-first-out (FIFO) data structure. The first item added/pushed on to the queue is the first to be removed/popped off.
31
Stacks
A last-in-first-out (LIFO) data structure. The last item added/pushed is the first to be removed/popped off.
32
Static structures
A data structure that is allocated a fixed amount of memory space, which does not change throughout the. execution of the program.
33
Trees
A data structure that uses a set of linked nodes to form a hierarchical structure starting at a root node. Each node is a child/sub-node of a parent node.
34
Vectors
A data structure representing a quantity with both magnitude and direction. It can be represented as a list, function or geometric point.
35
Peek/Top
An operation that allows the user to view the top element of the stack without modifying it.
36
Pop
An operation that removes the most recently added element that was not yet removed from the stack.
37
Push
An operation that adds an element to the top of the stack.
38
Adjacency list
A representation of a graph by storing a list of connected nodes to each node.
39
Adjacency matrix
A matrix representation of a graph that stores the edges connecting all possible nodes.
40
Directed graphs
A graph where the edges have a direction, usually represented by arrows.
41
Edge/arc
A connection that represents a relationship between two nodes.
42
Undirected graphs
A graph where the edges do not have a direction, meaning that each edge can be traversed in both directions.
43
Vertex/Node
The representation of an object on a graph that is capable of being related to other such objects.
44
Weighted graphs
A graph where each edge/arc has an associated value (known as its weight).
45
Binary trees
A rooted tree in which each node has, at most, 2 children.
46
Rooted trees
A tree in which one node has been designed as the root.
47
Root node
The only node in a rooted tree without a parent.
48
Trees
A connected, undirected graph with no cycles.
49
Collisions
The phenomenon when two key values compute to the same hash.
50
Hashing algorithms
An algorithm that calculates a value to determine the unique index where a data item is to be stored in a hash table.
51
Rehashing
The process of rerunning the hashing algorithm in the event of a collision.
52
Convex combination of two vectors
Any vector that can be expressed as a linear combination of the two vectors.
53
Dot/scalar product of two vectors
The sum of the products of components with the same index of two vectors.
54
Scalar-vector multiplication
An operation that multiples all the components of a vector by the same scalar quantity.
55
Vector addition
An operation that adds two vectors by component-wise addition, resulting in another vector as the output.

Computer Science A-level (13 decks)

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