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Multiplicative and Bilinear Complexity

Authors: Peter Bürgisser; Michael Clausen; Mohammad Amin Shokrollahi;

Multiplicative and Bilinear Complexity

Abstract

This chapter introduces the framework of the theory of bilinear complexity and is the basis for the study of Chap. 15–20. The language and concepts introduced here will, e. g., allow for a concise treatment of the fast matrix multiplication algorithms which we will discuss in the next chapter. We shall first turn our attention to the computation of a set of quadratic polynomials. According to Cor. (7.5) divisions do not help for the computation of such polynomials (at least when the field is infinite). The proof of that theorem in the case of quadratic polynomials implies a different characterization of the multiplicative complexity of these polynomials. We then associate to a set of quadratic polynomials quadratic maps between finite dimensional k-spaces and study the maps rather than the polynomials; this gives rise to the notion of computation for such maps. Specializing the quadratic maps further to bilinear maps and modifying the computations will lead to the important notion of rank or bilinear complexity of a bilinear map.

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Average
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