In this paper we present a new fixed point theorem applicable for a countable system of recursive equations. We demonstrate the power and versatility of our result by applications in automata theory (AT), data flow analysis (DFA), and program optimization (PO). In AT and DFA this is demonstrated by proving the correctness of partitioning algorithms computing (strong) bisimulation and of workset algorithms computing solutions of data flow analysis problems, repectively, and in PO for proving the optimality of an algorithm for partial dead code elimination. Moreover, we show that our approach is more general than vector iterations. Keywords Fixed point, chaotic iteration, vector iteration, automata theory, data flow analysis, program optimi...
AbstractThis paper develops a transformational paradigm by which nonnumerical algorithms are treated...
We study computational complexity of counting the fixed point configurations (FPs) in certain classe...
AbstractAny mathematical theory of algorithms striving to offer a foundation for programming needs t...
. We present a new fixpoint theorem which guarantees the existence and the finite computability of t...
Chaotic iteration sequences is a method for approximating fixpoints of monotonic functions proposed ...
This paper provides a link between the formulation of static program analyses using the framework o...
This paper develops a transformational paradigm by which nonnumerical algorithms are treated as fixe...
AbstractIterative algorithms for fixed points of systems of equations are of importance in graph alg...
We show how the constraint propagation process can be naturally explained by means of chaotic iterat...
[eng] The celebrated Kleene fixed point theorem is crucial in the mathematical modelling of recursiv...
We study computational complexity of counting the fixed point configurations (FPs) in certain discre...
Fixed point iterations are known to generate chaos, for some values in their parameter range. It is ...
Non-deterministic computations are conventionally modelled by lists of their outcomes. This approach...
AbstractWe introduce the notion of a general fixed point iteration scheme to unify various fixed poi...
AbstractWe show that several constraint propagation algorithms (also called (local) consistency, con...
AbstractThis paper develops a transformational paradigm by which nonnumerical algorithms are treated...
We study computational complexity of counting the fixed point configurations (FPs) in certain classe...
AbstractAny mathematical theory of algorithms striving to offer a foundation for programming needs t...
. We present a new fixpoint theorem which guarantees the existence and the finite computability of t...
Chaotic iteration sequences is a method for approximating fixpoints of monotonic functions proposed ...
This paper provides a link between the formulation of static program analyses using the framework o...
This paper develops a transformational paradigm by which nonnumerical algorithms are treated as fixe...
AbstractIterative algorithms for fixed points of systems of equations are of importance in graph alg...
We show how the constraint propagation process can be naturally explained by means of chaotic iterat...
[eng] The celebrated Kleene fixed point theorem is crucial in the mathematical modelling of recursiv...
We study computational complexity of counting the fixed point configurations (FPs) in certain discre...
Fixed point iterations are known to generate chaos, for some values in their parameter range. It is ...
Non-deterministic computations are conventionally modelled by lists of their outcomes. This approach...
AbstractWe introduce the notion of a general fixed point iteration scheme to unify various fixed poi...
AbstractWe show that several constraint propagation algorithms (also called (local) consistency, con...
AbstractThis paper develops a transformational paradigm by which nonnumerical algorithms are treated...
We study computational complexity of counting the fixed point configurations (FPs) in certain classe...
AbstractAny mathematical theory of algorithms striving to offer a foundation for programming needs t...