Termination proofs and the length of derivations
RTA-89 Proceedings of the 3rd international conference on Rewriting Techniques and Applications
Handbook of theoretical computer science (vol. B)
Tree-Manipulating Systems and Church-Rosser Theorems
Journal of the ACM (JACM)
Termination of term rewriting using dependency pairs
Theoretical Computer Science - Trees in algebra and programming
Termination Proofs by Context-Dependent Interpretations
RTA '01 Proceedings of the 12th International Conference on Rewriting Techniques and Applications
Algorithms with polynomial interpretation termination proof
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Applicable Algebra in Engineering, Communication and Computing
Algorithms in Real Algebraic Geometry (Algorithms and Computation in Mathematics)
Algorithms in Real Algebraic Geometry (Algorithms and Computation in Mathematics)
Practical use of polynomials over the reals in proofs of termination
Proceedings of the 9th ACM SIGPLAN international conference on Principles and practice of declarative programming
Characterizations of polynomial complexity classes with a better intensionality
Proceedings of the 10th international ACM SIGPLAN conference on Principles and practice of declarative programming
Proving Quadratic Derivational Complexities Using Context Dependent Interpretations
RTA '08 Proceedings of the 19th international conference on Rewriting Techniques and Applications
Automated Complexity Analysis Based on the Dependency Pair Method
IJCAR '08 Proceedings of the 4th international joint conference on Automated Reasoning
Complexity analysis by rewriting
FLOPS'08 Proceedings of the 9th international conference on Functional and logic programming
Derivational complexity is an invariant cost model
FOPARA'09 Proceedings of the First international conference on Foundational and practical aspects of resource analysis
Resource analysis by sup-interpretation
FLOPS'06 Proceedings of the 8th international conference on Functional and Logic Programming
Synthesis of sup-interpretations: A survey
Theoretical Computer Science
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In the field of implicit computational complexity, we are considering in this paper the fruitful branch of interpretation methods In this area, the synthesis problem is solved by Tarski's decision procedure, and consequently interpretations are usually chosen over the reals rather than over the integers Doing so, one cannot use anymore the (good) properties of the natural (well-) ordering of N employed to bound the complexity of programs We show that, actually, polynomials over the reals benefit from some properties that allow their safe use for complexity We illustrate this by two characterizations, one of PTIME and one of PSPACE.