•Consultation: Appointment by email General Information 3•How randomness and probability can help in the design and analysis of an algorithm •Design: Can we use randomness to speed up the runtime of an algorithm?--- of course, we need to pay a price for the gain … •Analysis: Can we use probabilistic arguments to show that a particular algorithm works well for almost all inputs, although it may work poorly for the worst-case input What shall we study
The presence of uncertainty in a system description has always been a critical issue in control. The...
Randomization is of paramount importance in practical applications and randomized algorithms are us...
The performance of an algorithm used depends on the GNA. This book focuses on the comparison of opti...
Introduction We have already seen some uses of randomization in the design of on-line algorithms. I...
In modern computer science, many problems are solved with the help of probabilistic algorithms. This...
The technique of randomization has been employed to solve numerous prob lems of computing both sequ...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
UnrestrictedAn algorithm can be defined as a set of computational steps that transform the input to ...
AbstractÐThis paper provides a methodology for analyzing the performance degradation of a computatio...
Digital Object Identifier: 10.1109/TAC.2006.889863This is the first book that fully covers both rand...
Randomized algorithms make random decisions throughout their operation. At first glance, making rand...
Heuristic algorithms are often difficult to analyse theoretically; this holds in particular for adva...
This report documents the program and the outcomes of Dagstuhl Seminar 17141 "Probabilistic Methods ...
AbstractResearch conducted over the past fifteen years has amply demonstrated the advantages of algo...
The presence of uncertainty in a system description has always been a critical issue in control. The...
Randomization is of paramount importance in practical applications and randomized algorithms are us...
The performance of an algorithm used depends on the GNA. This book focuses on the comparison of opti...
Introduction We have already seen some uses of randomization in the design of on-line algorithms. I...
In modern computer science, many problems are solved with the help of probabilistic algorithms. This...
The technique of randomization has been employed to solve numerous prob lems of computing both sequ...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
Random number generators are widely used in practical algorithms. Examples include simulation, numbe...
UnrestrictedAn algorithm can be defined as a set of computational steps that transform the input to ...
AbstractÐThis paper provides a methodology for analyzing the performance degradation of a computatio...
Digital Object Identifier: 10.1109/TAC.2006.889863This is the first book that fully covers both rand...
Randomized algorithms make random decisions throughout their operation. At first glance, making rand...
Heuristic algorithms are often difficult to analyse theoretically; this holds in particular for adva...
This report documents the program and the outcomes of Dagstuhl Seminar 17141 "Probabilistic Methods ...
AbstractResearch conducted over the past fifteen years has amply demonstrated the advantages of algo...
The presence of uncertainty in a system description has always been a critical issue in control. The...
Randomization is of paramount importance in practical applications and randomized algorithms are us...
The performance of an algorithm used depends on the GNA. This book focuses on the comparison of opti...