Papers for

real-time system designers

Papers whose findings have a practical use for this group, as judged from the abstract. Open a paper to read what it means in practice.

Value of time-bounded weighted timed games can be approximated in high complexity

Approximating the Value of Time-Bounded Weighted Timed Games

Abstract: The Value Problem for weighted timed games, an extension of timed automata with weights and adversity, consists in determining, given a weighted timed game with a reachability objective and a rational threshold, whether or not the value of the game exceeds the threshold. This problem is known to be undecidable for weighted timed games, i.e., there is no algorithm that can compute the value exactly. A natural alternative is to approximate the value; however, the Approximation problem is also undecidable in general. In this paper, we prove that the Approximation problem is decidable in 4-ExpTime for weighted timed games whose executions are time-bounded.

Thu 15 OctComputer Science and Game Theory
The gist
Weighted timed games are mathematical models used to decide the best moves in situations with time and cost constraints, but exactly finding their best value is impossible with today’s algorithms. The authors show that while exact solutions can't be computed, approximations become possible when the game has a fixed time limit. They prove that this approximation can be done, although it may require a very large amount of computing effort. This result opens the door to understanding these games better under time restrictions.
Open → 2610.21487v1

Dense pinwheel packing scheduling problem is strongly NP-complete

Dense Pinwheel Packing Is Strongly NP-Complete

Abstract: An instance of {\sc Pinwheel Packing} is a list of positive integers $a_1,\ldots,a_k$. A feasible schedule assigns one task to every integer time so that every interval of $a_i$ consecutive times contains task $i$. The instance is \emph{dense} when $\sum_i1/a_i=1$. We prove that {\sc Dense Pinwheel Packing} is NP-complete even when every period is encoded in unary and equal periods are listed as distinct tasks. Consequently, the usual binary-encoded problem is strongly NP-complete. Kleinberg and Mishra also prove NP-completeness \cite[Corollary~5.1]{KleinbergMishra2026}, but their reduction uses periods of exponential numerical size and therefore yields only weak NP-hardness. Our proof uses a direct reduction from triangle partition in a sparse tripartite graph. If each of the three parts of the source graph has $n$ vertices, the reduction produces $O(n^4\log^3 n)$ explicitly listed tasks, each with period $O(n^4\log^3 n)$; consequently, its full unary encoding has length $O(n^8\log^6 n)$.

Thu 17 SeptComputational Complexity
The gist
The paper studies a scheduling problem where tasks must be arranged so each one appears frequently within certain intervals. When the schedule is dense, meaning the total frequencies fill all time slots exactly, the problem turns out to be very hard to solve quickly. The authors prove that even when task frequencies are written out in full and tasks with the same frequency are counted separately, deciding if such a schedule exists is strongly NP-complete. This means no fast algorithm is expected for this problem, even under stricter input conditions.
Open → 2609.20075v1