Seminar Details
Applications of Tensor Rank to Algorithm Design Beyond Fast Matrix Multiplication
- Start Date: April 10, 2024
- Event Start Time: 11:00 AM
- Event End Time: 12:00 PM
- Seminar Series: Theoretical Computer Science Seminar
- Presenter(s): Kevin Pratt - New York University (NYU)
- Event Location: Conference Room 301 | Rutgers University | CoRE Building | 96 Frelinghuysen Road
- Event Additional Info: <p>See: <a href="https://theory.cs.rutgers.edu/theory_seminar">https://theory.cs.rutgers.edu/theory_seminar</a></p>
- Presentation Type: Stand Alone Presentation
- Abstract:
In 1969, Strassen observed that the computational complexity of matrix multiplication is determined by the rank of a particular family of trilinear forms (tensors). This turned out to be a fruitful perspective, which when combined with algebraic and combinatorial tools leads to improvements on the standard cubic-time algorithm. While these improvements have broad applications to algorithm design, algorithmic applications of tensor rank have largely remained in the limited context of matrix multiplication. In this talk I will discuss some other families of tensors whose rank is of algorithmic interest. In particular, I will discuss recent results of Bjorklund, Kaski, and myself, which show that a conjecture of Strassen's would imply that the set cover conjecture is false.
