Below you will find example sentences with "data structures". The examples show how this phrase is used in natural context and which words often surround it.
Data Structures in a sentence
Corpus data
- Displayed example sentences: 20
- Discovered as a combination around: structures
- Corpus frequency in the collocation scan: 18
- Phrase length: 2 words
- Average sentence length: 25.8 words
Sentence profile
- Phrase position: 9 start, 8 middle, 3 end
- Sentence types: 20 statements, 0 questions, 0 exclamations
Corpus analysis
- The phrase "data structures" has 2 words and usually appears near the start in these examples. The average sentence has 25.8 words and is mostly made up of statements.
- Around this phrase, patterns and context words such as algorithms and data structures algorithms and, algorithms and data structures is the, based, algorithms and use stand out.
- In the phrase index, this combination connects with data centers, data privacy, automatic data and control structures, linking the page to nearby combinations.
Example types with data structures
This selection groups the examples by length and sentence type, making usage of the full phrase easier to scan:
Data structures Octave includes a limited amount of support for organizing data in structures. (14 words)
Very few data structures can guarantee this, other than arrays (and related structures like dynamic arrays ). (16 words)
Data structures main Purely functional data structures are often represented in a different way than their imperative counterparts. (18 words)
Thus, the array and record data structures are based on computing the addresses of data items with arithmetic operations ; while the linked data structures are based on storing addresses of data items within the structure itself. (36 words)
In addition to being the common platform for all dialects, the data exchange dialect is directly used to represent data and metadata, populate data structures, send data over Internet, and save them in data storage. (35 words)
As the structures have been designed with unaligned members, this "both endian" encoding does however not help implementors as the data structures need to be read byte-wise to convert them to properly aligned data. (35 words)
Example sentences (20)
Thus, the array and record data structures are based on computing the addresses of data items with arithmetic operations ; while the linked data structures are based on storing addresses of data items within the structure itself.
In addition to being the common platform for all dialects, the data exchange dialect is directly used to represent data and metadata, populate data structures, send data over Internet, and save them in data storage.
You can build data models based on existing data sources or you can build data models from scratch, which you then use to create data structures (tables, columns, joins) in a data source.
Algorithms and data structures Algorithms and data structures is the study of commonly used computational methods and their computational efficiency.
As the structures have been designed with unaligned members, this "both endian" encoding does however not help implementors as the data structures need to be read byte-wise to convert them to properly aligned data.
Data structures main Purely functional data structures are often represented in a different way than their imperative counterparts.
Data structures Octave includes a limited amount of support for organizing data in structures.
Spatial data structures More advanced techniques use data structures to cull out objects which are either outside the viewing volume or are occluded by other objects.
The various kinds of data structures referred to as trees in computer science have underlying graphs that are trees in graph theory, although such data structures are generally rooted trees.
Data structures can implement one or more particular abstract data types (ADT), which specify the operations that can be performed on a data structure and the computional complexity of those operations.
Genetic programming often uses tree-based internal data structures to represent the computer programs for adaptation instead of the list structures typical of genetic algorithms.
In fact, all but the most simplistic Lisps have other data structures, such as vectors ( arrays ), hash tables, structures, and so forth.
Structures, similar in use to structs and Pascal records, represent arbitrary complex data structures with any number and type of fields (called slots).
Very few data structures can guarantee this, other than arrays (and related structures like dynamic arrays ).
It provides a uniform data fabric, supports open-source technologies, assures security and compliance, and allows for flexibility in current data structures.
Likewise, both LLMs and LGMs have large internal data structures to house and make use of the patterns based on the examined data.
Algorithms in C++, Parts 1–4: Fundamentals, Data Structure, Sorting, Searching: Fundamentals, Data Structures, Sorting, Searching Pts. 1–4, Second Edition.
Introduction Abstract data types are purely theoretical entities, used (among other things) to simplify the description of abstract algorithms, to classify and evaluate data structures, and to formally describe the type systems of programming languages.
Several hurdles exist in accomplishing this goal, in particular the difficulty of mapping high-level concepts, data, and data structures between languages.
Tables Tables are the most important data structures (and, by design, the only built-in composite data type ) in Lua, and are the foundation of all user-created types.