Traditionally the analysis of algorithms measures the complexity of a problem or algorithm in terms of the worst-case behavior over all inputs of a given size. However, in certain cases an improved algorithm can be obtained by considering a finer partition of the input space. As this idea has been independently rediscovered in many areas, the workshop gathered participants from different fields in order to explore the impact and the limits of this technique, in the hope to spring new collaboration and to seed the unification of the technique
Parameterized complexity studies a generalization of the notion of polynomial time where, in additio...
The purpose of this summary Good Algorithms, especially for those natural problems, should be simple...
This is the rst installment of the Algorithmics Column dedicated to Analysis of Algorithms (AofA) t...
Traditionally the analysis of algorithms measures the complexity of a problem or algorithm in terms ...
From 19.01. to 24.04.2009, the Dagstuhl Seminar 09171 ``Adaptive, Output Sensitive, Online and Param...
From the 8th of July 2018 to the 13th of July 2018, a Dagstuhl Seminar took place with the topic "Sy...
Abstra t. Su in t data stru tures repla e stati instan es of pointer based data stru tures, improv...
On-line algorithms are usually analyzed using competitive analysis, in which the performance of on-l...
Parameterized complexity is fast becoming accepted as an important strand in the mainstream of algor...
This report documents the program and the outcomes of Dagstuhl Seminar 14372 "Analysis of Algorithms...
This report documents the program and the outcomes of Dagstuhl Seminar 19041 "New Horizons in Parame...
Design and Analysis of Algorithms is a field of computer science that focuses on the study of algori...
Abstra t. An adaptive algorithm is one whi h performan e an be expressed more pre isely than as a m...
Mechanisms for adapting models, filters, decisions, regulators and soon to changing properties of a ...
A fixed-parameter is an algorithm that provides an optimal solution to a combinatorial problem. This...
Parameterized complexity studies a generalization of the notion of polynomial time where, in additio...
The purpose of this summary Good Algorithms, especially for those natural problems, should be simple...
This is the rst installment of the Algorithmics Column dedicated to Analysis of Algorithms (AofA) t...
Traditionally the analysis of algorithms measures the complexity of a problem or algorithm in terms ...
From 19.01. to 24.04.2009, the Dagstuhl Seminar 09171 ``Adaptive, Output Sensitive, Online and Param...
From the 8th of July 2018 to the 13th of July 2018, a Dagstuhl Seminar took place with the topic "Sy...
Abstra t. Su in t data stru tures repla e stati instan es of pointer based data stru tures, improv...
On-line algorithms are usually analyzed using competitive analysis, in which the performance of on-l...
Parameterized complexity is fast becoming accepted as an important strand in the mainstream of algor...
This report documents the program and the outcomes of Dagstuhl Seminar 14372 "Analysis of Algorithms...
This report documents the program and the outcomes of Dagstuhl Seminar 19041 "New Horizons in Parame...
Design and Analysis of Algorithms is a field of computer science that focuses on the study of algori...
Abstra t. An adaptive algorithm is one whi h performan e an be expressed more pre isely than as a m...
Mechanisms for adapting models, filters, decisions, regulators and soon to changing properties of a ...
A fixed-parameter is an algorithm that provides an optimal solution to a combinatorial problem. This...
Parameterized complexity studies a generalization of the notion of polynomial time where, in additio...
The purpose of this summary Good Algorithms, especially for those natural problems, should be simple...
This is the rst installment of the Algorithmics Column dedicated to Analysis of Algorithms (AofA) t...