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CORDIC: History & Applications
CORDIC, short for coordinate rotation digital computer, is a simple and efficient algorithm to calculate trigonometric functions, hyperbolic functions, square roots, multiplications, divisions, exponentials, and logarithms with arbitrary base, typically converging with one digit (or bit) per iteration. CORDIC is therefore an example of a digit-by-digit…
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CORDIC topic overview
The analysis highlights History and Applications as prominent areas in the source structure around CORDIC.
Related topics
109
Source areas
7
Connected nodes
116
Extracted relationships
318
Concept neighborhoods
33
Bridge connections
116
What this topic covers Research coverage
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
History · 56 topics
Applications · 21 topics
Overview · 21 topics
Implementation · 4 topics
Modes of operation · 4 topics
Related algorithms · 2 topics
Concept · 1 topics
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How CORDIC connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around CORDIC shows recurring relationship patterns in the source. For example, CORDIC → Advanced Arithmetic Techniques, An Interconnect Processor, Anderson, Anindya Sundar, Apparaturnaja, April, Archived, Arithmetische Algorithmen, Astrophysik, Automatic Computation, Ayan, Banerjee, Baykov, Belgium, Berkeley, Berlin, Bernhard, Bibcode, Boppana, CA Another extracted example is CORDIC → Arbitrary Target ValuePython CORDIC, Archived, Arx, AustinSoft CORDIC IP, Chandra Department, Cockrell School, Complex Number, Computer Engineering, CORDIC Algorithm, CORDIC Bibliography Site, CORDIC Bibliography SiteBASIC Stamp, CORDICs, CORDICTutorial, Descriptions, Digital Down-ConverterImplementation, Electrical, Engineering, Estimate Phase, HDL, July. Use these groups to spot repeated connection types before inspecting the individual relationships.
CORDIC
Top relations
related to Further reading· 192
CORDIC → Advanced Arithmetic Techniques, An Interconnect Processor, Anderson, Anindya Sundar, Apparaturnaja, April, Archived, Arithmetische Algorithmen, Astrophysik, Automatic Computation, Ayan, Banerjee, Baykov, Belgium, Berkeley, Berlin, Bernhard, Bibcode, Boppana, CA
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 318 structured relationships around CORDIC. Examples in this analysis include CORDIC → is a → special case of GH CORDIC.Originally and CORDIC → is a → standard drop-in IP in FPGA development applications such as Vivado for Xilinx. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
CORDIC
is a
special case of GH CORDIC.Originally
0.90
text
CORDIC
is a
standard drop-in IP in FPGA development applications such as Vivado for Xilinx
0.90
text
the calculation of trigonometric
instance of
ApplicationsCORDIC uses simple shift-add operations for several computing tasks
0.80
text
hyperbolic
instance of
ApplicationsCORDIC uses simple shift-add operations for several computing tasks
0.80
text
logarithmic functions
instance of
ApplicationsCORDIC uses simple shift-add operations for several computing tasks
0.80
text
real
instance of
ApplicationsCORDIC uses simple shift-add operations for several computing tasks
0.80
text
complex multiplication
instance of
ApplicationsCORDIC uses simple shift-add operations for several computing tasks
0.80
text
division
instance of
ApplicationsCORDIC uses simple shift-add operations for several computing tasks
0.80
text
square-root calculation
instance of
ApplicationsCORDIC uses simple shift-add operations for several computing tasks
0.80
text
solution of linear systems
instance of
ApplicationsCORDIC uses simple shift-add operations for several computing tasks
0.80
text
eigenvalue estimation
instance of
ApplicationsCORDIC uses simple shift-add operations for several computing tasks
0.80
text
singular value decomposition
instance of
ApplicationsCORDIC uses simple shift-add operations for several computing tasks
0.80
text
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around CORDIC bring nearby vocabulary together. In this analysis, examples include Functions, Algorithm and Hyperbolic. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
CORDIC
Functions
Algorithm
Hyperbolic
Hardware
Used
Series
Implementation
Number
Based
Computer
Floating-point
Digital
cordic
Functions
Algorithm
Hyperbolic
Hardware
Used
Series
Implementation
Number
Based
Computer
Floating-point
Digital
algorithm
Computer
Implementation
Cordic
Hyperbolic
Volder
Functions
Digital
Used
Logarithms
Square
System
Trigonometric
trigonometric functions
Hyperbolic
Trigonometric
Number
Hardware
Algorithms
Calculator
Sine
Using
Value
Iterations
Logarithms
Retrieved
hyperbolic functions
Hyperbolic
Logarithms
Trigonometric
Number
Iterations
Hardware
Implementation
Algorithms
Value
Calculator
Sine
Square
coordinate rotation
Vector
Angle
Displaystyle
Logarithms
Iteration
Rotation
Sine
Cosine
Hyperbolic
Value
Square
Using
exponential functions
Hyperbolic
Trigonometric
Number
Hardware
Algorithms
Calculator
Sine
Value
Iterations
Logarithms
Computing
Implementation
bkm algorithm
Computer
Implementation
Cordic
Hyperbolic
Volder
Functions
Digital
Used
Logarithms
Square
System
Trigonometric
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For CORDIC, one of the stronger structural bridges in this analysis connects CORDIC with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
CORDIC
Nodes117
Edges116
Triples318
Avg. degree1.98
Density0.017094
Components1
Source & methodology
TTTA analyzes the structure around CORDIC to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
