SIAM Review · 1984 · 147 citations · 18 references
ComputingComputer ScienceMathematicsAlgebraAlgorithmsTheory Of ComputationAlgorithm AnalysisComputational AlgebraComputational ComplexityMatrix ComputationNumerical Linear AlgebraScalable Algorithm DesignComputational Matrix TheoryMatrix MultiplicationSparse Linear Algebra
Due to the new algebraic methods of algorithm design, recently it became possible to perform multiplication and inversion of $N \times N$ matrices using $O(N^{2.496} )$ rather than $O(N^3 )$ arithmetical operations. Consequently, algorithms for several other computational problems of linear algebra and combinatorics have been accelerated. The major ideas and techniques that have led to that progress are surveyed.
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Gaussian elimination is not optimal
Volker Strassen · Numerische Mathematik · 1969 · 2.5K citations
The Art of Computer Programming, Vol. 2
Donald E. Knuth · Medical Entomology and Zoology · 1981 · 863 citations
Partial and Total Matrix Multiplication
Arnold Schönhage · SIAM Journal on Computing · 1981 · 262 citations
On multiplication of 2 × 2 matrices
S. Winograd · Linear Algebra and its Applications · 1971 · 217 citations