Read-only copy. This public copy of trans-bench is read-only: it shows the published campaigns. Clone the repository to run benchmarks or to edit systems. github.com/Sirneij/trans-bench, branch verified-rerun-2026
Topology · x

X Graph

All n nodes point to a hub, which fans out to k leaf nodes.

Evaluation
Linear · T ∘ E–iterations (left / right recursion)
Doubling · T ∘ T–iterations (double recursion)
1 / 1
iteration 1new pairs per iteration
Nodes · edges16 · 15
Closure |TC|65
Closure / edges4.3×
5

A small instance from the generator the benchmark runs with n from 100 upwards.

Definition

Symbol
X_{n,k}
Edges
\{(i, n+1) \mid i \in 1..n\} \cup \{(n+1, n+1+j) \mid j \in 1..k\}

Generator

engine.data_generator.DataGenerator.generate_x_graph
generate_db.py
    def generate_x_graph(self, n: int) -> Generator[tuple[int, int], None, None]:
        """Generate a X graph with n nodes."""
        logging.info(f'Generating X graph for n={n}')
        for i in range(1, n + 1):
            yield (i, n + 1)
        for j in range(1, self.k + 1):
            yield (n + 1, n + 1 + j)