Victor Pan in 1996

Victor Yakovlevich Pan (Russian: Пан Виктор Яковлевич) is a Soviet and American mathematician and computer scientist, known for his research on algorithms for polynomials and matrix multiplication.

Education and career

Pan earned his Ph.D. at Moscow University in 1964, under the supervision of Anatoli Georgievich Vitushkin,[1] and continued his work at the Soviet Academy of Sciences. During that time, he published a number of significant papers and became known informally as "polynomial Pan" for his pioneering work in the area of polynomial computations. In late 1970s, he immigrated to the United States and held positions at several institutions including IBM Research. Since 1988, he has taught at Lehman College of the City University of New York.[2]

Contributions

Victor Pan is an expert in computational complexity and has developed a number of new algorithms. One of his notable early results is a proof that the number of multiplications in Horner's method is optimal.[CVP]

In the theory of matrix multiplication algorithms, Pan in 1978 published an algorithm with running time . This was the first improvement over the Strassen algorithm after nearly a decade, and kicked off a long line of improvements in fast matrix multiplication that later included the Coppersmith–Winograd algorithm and subsequent developments.[SNO] He wrote the text How to Multiply Matrices Faster (Springer, 1984) surveying early developments in this area.[3][HMM] His 1982 algorithm[P82] still held the record in 2020 for the fastest "practically useful" matrix multiplication algorithm (i.e., with a small base size and manageable hidden constants).[4] In 1998, with his student Xiaohan Huang, Pan showed that matrix multiplication algorithms can take advantage of rectangular matrices with unbalanced aspect ratios, multiplying them more quickly than the time bounds one would obtain using square matrix multiplication algorithms.[FRM]

Since that work, Pan has returned to symbolic and numeric computation and to an earlier theme of his research, computations with polynomials. He developed fast algorithms for the numerical computation of polynomial roots,[UP] and, with Bernard Mourrain, algorithms for multivariate polynomials based on their relations to structured matrices.[5][MPD] He also authored or co-authored several more books, on matrix and polynomial computation,[6][PMC] structured matrices,[7][SMP] and on numerical root-finding procedures.[8][NMR]

Recognition

Pan was appointed Distinguished Professor at Lehman College in 2000.[2]

In 2013 he became a fellow of the American Mathematical Society, for "contributions to the mathematical theory of computation".[9]

Selected publications

Research papers

Books

References

  1. ↑ Victor Pan at the Mathematics Genealogy Project
  2. 1 2 Victor Pan of Lehman mathematics faculty selected as Distinguished Professor, Lehman College, archived from the original on 2018-02-14
  3. 1 2 Reviews of How to Multiply Matrices Faster:
  4. ↑ Karstadt, Elaye; Schwartz, Oded (2020), "Matrix multiplication, a little faster", Journal of the ACM, 67 (1): 1–31, doi:10.1145/3364504, MR 4061328, S2CID 211041916
  5. 1 2 "Best paper awards", Journal of Complexity, retrieved 2018-10-16
  6. 1 2 Reviews of Polynomial and Matrix Computations:
  7. 1 2 Review of Structured Matrices and Polynomials:
  8. 1 2 Review of Numerical Methods for Roots of Polynomials, Part II:
    • Proinov, Petko D., Mathematical Reviews, MR 3293902{{citation}}: CS1 maint: untitled periodical (link)
  9. ↑ "List of Fellows of the American Mathematical Society", American Mathematical Society, retrieved 22 May 2015
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.