Strassen

GPTKB entity

Statements (63)
Predicate Object
gptkbp:instanceOf algorithm
gptkbp:bestTimeToVisit naive matrix multiplication
gptkbp:canBe true
gptkbp:developedBy gptkb:Volker_Strassen
gptkbp:hasRelatedPatent true
gptkbp:hasVariants yes
https://www.w3.org/2000/01/rdf-schema#label Strassen
gptkbp:influencedBy matrix theory
gptkbp:isAccessibleBy large matrices
gptkbp:isActiveIn algorithmic research
gptkbp:isAvenueFor scalability
gptkbp:isChallengedBy matrix multiplication algorithms
gptkbp:isConsidered a foundational algorithm
a breakthrough in algorithms
a cornerstone of modern algorithms.
a key algorithm in computer science history
a significant contribution to computer science
gptkbp:isEvaluatedBy performance
efficiency
accuracy
gptkbp:isExaminedBy true
gptkbp:isFoundIn classical matrix multiplication
gptkbp:isLocatedIn software libraries
many programming languages
gptkbp:isNamedAfter small matrices
gptkbp:isNotableFor real-time applications
gptkbp:isPartOf computational complexity theory
advanced algorithms
algorithm design
computational mathematics
numerical methods
divide and conquer algorithms
Coppersmith-Winograd algorithm
algorithmic frameworks
matrix computation techniques
other fast matrix multiplication algorithms
linear_algebra
Strassen-like_algorithms
Winograd's_algorithm
gptkbp:isRelatedTo computational efficiency
asymptotic analysis
matrix factorization
matrix algorithms
fast algorithms
gptkbp:isStudiedIn academic research
theoretical implications
gptkbp:isTaughtIn computer science courses
gptkbp:isUsedIn gptkb:quantum_computing
artificial intelligence
cloud computing
computer science
machine learning
big data processing
scientific computing
data science
signal processing
numerical analysis
graphics processing
gptkbp:isUtilizedIn theoretical computer science
gptkbp:requires true
gptkbp:timePeriod O(n^log2(7))
gptkbp:usedFor matrix multiplication
gptkbp:yearEstablished 1969