Add to ORKGThis talk was given to the Georgia Southern University Department of Computer Science
Presented as part of the Workshop on Algorithms and Randomness on May 17, 2018 at 2:45 p.m. in the K...
The talk will give a few examples of moving approximation concerns into the definition of reparamete...
summary:The smoothed aggregation method has became a widely used tool for solving the linear systems...
This talk was given to the Georgia Southern University Department of Computer Science
This talk was given to the University of Alberta Department of Computing Science
Smoothed analysis is a new way of analyzing algorithms introduced by Spielman and Teng. Classical me...
Abstract. We introduce the smoothed analysis of algorithms, which continuously interpolates between ...
Abstract. We study the foundations of smooth interpretation, a recently-proposed program approximati...
We present smooth interpretation, a method for systematic approx-imation of programs by smooth mathe...
In this talk we discuss briefly classes of fixed-parameter tractability as well as approximation alg...
communication to : Proc. Workshop AAAI on Approximation and Abstraction on Computational Theory, San...
Many algorithms perform very well in practice, but have a poor worst-case performance. The reason fo...
summary:In the paper, we are concerned with some computational aspects of smooth approximation of da...
Computing has entered the era of approximation, in which hardware and software generate and reason a...
The talk will present connections between approximability of NP-complete problems, analysis, and geo...
Presented as part of the Workshop on Algorithms and Randomness on May 17, 2018 at 2:45 p.m. in the K...
The talk will give a few examples of moving approximation concerns into the definition of reparamete...
summary:The smoothed aggregation method has became a widely used tool for solving the linear systems...
This talk was given to the Georgia Southern University Department of Computer Science
This talk was given to the University of Alberta Department of Computing Science
Smoothed analysis is a new way of analyzing algorithms introduced by Spielman and Teng. Classical me...
Abstract. We introduce the smoothed analysis of algorithms, which continuously interpolates between ...
Abstract. We study the foundations of smooth interpretation, a recently-proposed program approximati...
We present smooth interpretation, a method for systematic approx-imation of programs by smooth mathe...
In this talk we discuss briefly classes of fixed-parameter tractability as well as approximation alg...
communication to : Proc. Workshop AAAI on Approximation and Abstraction on Computational Theory, San...
Many algorithms perform very well in practice, but have a poor worst-case performance. The reason fo...
summary:In the paper, we are concerned with some computational aspects of smooth approximation of da...
Computing has entered the era of approximation, in which hardware and software generate and reason a...
The talk will present connections between approximability of NP-complete problems, analysis, and geo...
Presented as part of the Workshop on Algorithms and Randomness on May 17, 2018 at 2:45 p.m. in the K...
The talk will give a few examples of moving approximation concerns into the definition of reparamete...
summary:The smoothed aggregation method has became a widely used tool for solving the linear systems...