AdvOL Student Seminars and Defences
Adrian Burlacu,September 19, 2017, 15:30-16:00, ITB 201
Speaker:   Adrian Burlacu

Title:  Minimized asynchronous scalable domain transactions
AdvOL Optimization Seminars
Reza Samavi, September 19, 2017, 16:30-17:30, ITB 201
Speaker:   Reza Samavi
Department of Computing and Software
McMaster University

Title:  Optimizing data utility with privacy constraints
Fields Institute Industrial Optimization Seminar, June 6, 2017
Speakers:   Yuriy Zinchenko (University of Calgarys)
Pooyan Shirvani (TD Bank)

On the first Tuesday of each month, the Industrial Optimization Seminar is held at the Fields Institute. See the seminar series website for further information.
Home arrow Seminars arrow Invited seminars arrow Sanzheng Qiao, January 20, 2015, 16:30-17:30, ITB 201
Friday, 22 September 2017
Main Menu
Internal pages
Latest Theses
File Icon Computational Determination of the Largest Lattice Polytope Diameter
File Icon Computational Framework for the Generalized Berge Sorting Conjecture
File Icon Structural Factorization of Squares in Strings
Latest Reports
Visitors by region
Totals Top 20
 61 % Unknown
 14 % Commercial
 8 % networks
 6 % Canada
 3 % Germany
 2 % China
 2 % Russia
 < 1.0 % Educational
 < 1.0 % Brazil
 < 1.0 % United Kingdom
 < 1.0 % Ukraine
 < 1.0 % Poland
 < 1.0 % 
 < 1.0 % Italy
 < 1.0 % France
 < 1.0 % Netherlands
 < 1.0 % Japan
 < 1.0 % India
 < 1.0 % Australia
 < 1.0 % Organization

Visitors: 5138652
Sanzheng Qiao, January 20, 2015, 16:30-17:30, ITB 201
Speaker:   Sanzheng Qiao
Department of Computing and Software
Faculty of Engineering
McMaster University

Title:   Structured condition numbers for symmetric algebraic Riccati equations

Algebraic Riccati equations arise in optimal control problems in continuous and discrete time. With multiple state variables and multiple control variables, the Riccati equations are linear-quadratic matrix equations. Perturbation analysis reveals the sensitivity of the solution to the input data. Condition number is a measurement of the sensitivity, that can be used to estimate the error in the computed solution. Assuming the structure of the perturbation is the same as that of the data, we present a structured perturbation analysis of the continuous and discrete symmetric algebraic Riccati equations. We define and derive structured normwise, mixed, and componentwise condition numbers for symmetric algebraic Riccati matrix equations using the Kronecker product. Also, we give an efficient and practical condition number estimation method by applying the small sample condition estimation method.
< Prev   Next >
McMaster University
McMaster University
Faculty of Engineering
Faculty of Engineering
Faculty of Science
Faculty of Science
Computing & Software
Computing & Software
Comput. Eng. & Sci.

School Website >>>

Latest Publications
Publication Downloads
Error cannot find GD extension