Seminar and Course Information

Seminar: Symbolic-Numeric Computations

Course: Computations with Polynomial and Data Sparse Matrices


Upcoming Seminar:

  • Title: TBD

  • Date and Time: Friday (09/23/2022) 4:15pm - 6pm

  • Location: Rm 4422 (will be updated if there are any changes)

Seminar Information:

  • Seminar Title: Symbolic-Numeric Computations

  • Regular Date and Time: Friday 4:30pm - 6pm

  • Regular Location: TBA

  • The organizer can arrange additional meetings from noon to 1:30pm or from 6:15pm to 8pm upon demand.

Subject and Objective:

The seminar covers fundamental and advanced subjects in symbolic and numerical computing, which are central to modern computations in sciences, engineering, financial mathematics, and signal and image processing. The subjects of matrix and polynomial computations lead to both mathematical challenges and applications to hot topics of modern computations such as neural networks, learning theory, and data mining and analysis. The seminar is open to other subjects relevant to computations and algorithms, as this was occasionally practiced in the past.

The first two topics in the Fall of 2022:

  1. Computational aspect of the fundamental theorem of algebra in the case of sparse input.

  2. Low-rank approximation of matrices.

Prerequisites and Attendance:

The seminar requires no prerequisites and has been meeting for decades, attended mostly by students from PhD Programs in Computer Science and Mathematics, but also by Faculty Members of these Departments and other CUNY colleges.

Relevant Publications:

The seminar has prompted publications by the participants and has led to PhD defenses, so far 13 in Math and 13 in Computer Science.

Previous Seminars:

--09/16/2022

  • Title: Third Meeting

  • Speaker: Victor Pan

  • Location: Rm 4422

--09/09/2022

  • Title: Second Meeting

  • Speaker: Victor Pan

  • Location: Rm 4422

--08/26/2022

  • Title: First Meeting

  • Speaker: Victor Pan

  • Location: Rm 4422

Course Information:

  • Course Title: Computations with Polynomial and Data Sparse Matrices

  • Semester: Fall 2022

  • Course Number: CSc 87100 CRN 45549 (3 credits).

  • Instructor: Victor Pan.

  • Date and Time: Friday 2pm - 4pm.

  • Lecture Room: Rm 6494.

The study in the course has been partly based on Instructor’s books, available in the GC library and via the Internet, and on his survey and research papers, supplied as handouts.

Seminar Organizer and Course Instructor:

Distinguished Professor, Fellow of the American Math. Society, designated in 2013 for his "Contributions to the Mathematical Theory of Computation".

The instructor has been teaching PhD students of CUNY for decades, was the adviser and mentor for 26 successful PhD defenses, and has supported students' research from his grants, but they can obtain 3 credits just for successful learning.