Close Menu

Computational Mathematics & Statistics Seminar

The Meshfree Methods group

Sign up for the seminar mailing list here »

No events featured at this time...

Computational Mathematics and Statistics Seminar Archive

Kan Zhang - Department of Applied Mathematics, Illinois Institute of Technology
Nov 15, 2018 - 3:15pm to 4:30pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 103
TBA
Thu.
Nov 15
Maggie Cheng - Department of Applied Mathematics, Illinois Institute of Technology
Nov 8, 2018 - 3:15pm to 4:30pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 103
TBA
Thu.
Nov 8
Yizhi Zhang - Department of Applied Mathematics, Illinois Institute of Technology
Oct 25, 2018 - 3:15pm to 4:30pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 103
This talk investigates how to solve univariate integration problems using numerical methods, including the trapezoidal rule and Simpson's rule. Most existing guaranteed algorithms are not adaptive and require too much a priori information. Most existing adaptive algorithms do not have a valid... read more
Thu.
Oct 25
Shahrzad Zelenberg - Department of Applied Mathematics, Illinois Institute of Technology
Oct 18, 2018 - 3:15pm to 4:30pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering Center, Room 103
In this talk, I will discuss the general setup of a neural network and some of the newer practices of implementation. The theory of the subject is currently underdeveloped in relation to its usage; however, some theory will be covered with respect to the single layer neural network which will be... read more
Thu.
Oct 18
Yuchen Lu, Graduate Student - Department of Applied Mathematics, Illinois Institute of Technology
Sep 27, 2016 - 1:50pm to 3:05pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering, Room 121
In this talk, the speaker briefly introduces the software HawkEye, which was developed based on VBA using the Monte Carlo method. Also, the speaker shows the concepts and the algorithms behind this software. Three models are given to demonstrate the power of HawkEye: "Project Cost" model for... read more
Tue.
Sep 27
Yizhi Zhang, Graduate Student - Department of Applied Mathematics, Illinois Institute of Technology
Sep 20, 2016 - 1:50pm to 3:05pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering, Room 121
In this talk, the speaker briefly introduces the setup of numerical approximation to univariate integration problems via different algorithms. The talk will contain finished results of rigorous proof of trapezoidal rule and in-progress results of Simpson's rule. Numerical examples are given to... read more
Tue.
Sep 20
Lluís Antoni Jimenez Rugama, Graduate Student - Department of Applied Mathematics, Illinois Institute of Technology
Sep 13, 2016 - 1:50pm to 3:05pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering, Room 121
In this talk, the speaker summarizes Takashi Goda's talk in MCQMC 2016. Antithetic variates is a well-known variance reduction technique for IID Monte Carlo methods. However, although the use for quasi-Monte Carlo methods is analogous, the error analysis becomes different. 
Tue.
Sep 13
Kan Zhang, Graduate Student - Department of Applied Mathematics, Illinois Institute of Technology
Sep 6, 2016 - 1:50pm to 3:05pm
College of Science, Applied Mathematics - Seminar - Rettaliata Engineering, Room 121
In this talk, the speaker talks about the development of the theory of uniformly distributed sequences. Then the speaker introduces the concept of discrepancy. In the end, some famous results and open questions are discussed.
Tue.
Sep 6
Negar Soheili Azad, Assistant Professor - Information and Decision Sciences Department, College of Business, University of Illinois at Chicago
Apr 15, 2016 - 10:00am to 11:15am
Applied Mathematics - Seminar - RE 036
Poor conditioning of problem instances is a well-known difficulty that arises when solving convex optimization problems. Geometrically, this issue is caused by the existence of flat or nearly flat geometries in problem instances. When such geometries are encountered algorithms exhibit very slow... read more
Fri.
Apr 15
Dan Eckhardt, Graduate Student and IIT Alumnus - Rensselaer Polytechnic Institute
Apr 5, 2016 - 10:00am to 11:15am
Applied Mathematics - Seminar - RE 036
Tue.
Apr 5

Pages