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Time and space complexity of reversible pebbling

Richard Královič — 2004

RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications

This paper investigates one possible model of reversible computations, an important paradigm in the context of quantum computing. Introduced by Bennett, a reversible pebble game is an abstraction of reversible computation that allows to examine the space and time complexity of various classes of problems. We present a technique for proving lower and upper bounds on time and space complexity for several types of graphs. Using this technique we show that the time needed to achieve optimal space for...

Time and space complexity of reversible pebbling

Richard Královič — 2010

RAIRO - Theoretical Informatics and Applications

This paper investigates one possible model of reversible computations, an important paradigm in the context of quantum computing. Introduced by Bennett, a reversible pebble game is an abstraction of reversible computation that allows to examine the space and time complexity of various classes of problems. We present a technique for proving lower and upper bounds on time and space complexity for several types of graphs. Using this technique we show that the time needed to achieve optimal space for...

Advice Complexity and Barely Random Algorithms

Dennis KommRichard Královič — 2011

RAIRO - Theoretical Informatics and Applications - Informatique Théorique et Applications

Recently, a new measurement – the – was introduced for measuring the information content of online problems. The aim is to measure the bitwise information that online algorithms lack, causing them to perform worse than offline algorithms. Among a large number of problems, a well-known scheduling problem, , and the problem were analyzed within this model. We observe some connections between advice complexity and randomization. Our special focus goes to barely random algorithms, , randomized algorithms...

Advice Complexity and Barely Random Algorithms

Dennis KommRichard Královič — 2011

RAIRO - Theoretical Informatics and Applications

Recently, a new measurement – the – was introduced for measuring the information content of online problems. The aim is to measure the bitwise information that online algorithms lack, causing them to perform worse than offline algorithms. Among a large number of problems, a well-known scheduling problem, , and the problem were analyzed within this model. We observe some connections between advice complexity and randomization. Our special focus goes to barely random algorithms, , randomized...

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