Quasi-bipartite graph¶
A Steiner-tree instance in which the nonterminal vertices form an independent set, so every edge has at least one terminal endpoint.
Core Idea¶
Quasi-bipartite instances generalize bipartite terminal-side cases and admit stronger approximation algorithms than unrestricted Steiner tree, while edges among terminals remain allowed. The terminal set is fixed, the remaining Steiner vertices cannot connect to one another and every connecting path therefore alternates through or directly links terminals in a restricted way. The abstraction is therefore identified by a declared carrier, a transformation or constraint over that carrier, and an invariant that tells an analyst whether the named structure is genuinely present.
Scope of Application¶
Quasi-bipartite graph belongs to combinatorial optimization and is useful where the analyst can specify the typed combinatorial optimization carrier, defining objects and relations, parameters, conventions, evidence, boundary cases, and comparison targets, then evaluate the undirected graph and terminal subset are explicit and no edge has two nonterminal endpoints. The scope is broad within that domain but bounded by the need for the undirected graph and terminal subset are explicit and no edge has two nonterminal endpoints. The entry records a descriptive analytical identity; practical use requires the governing domain's evidence, standards, and safety obligations.
Clarity¶
The abstraction clarifies a crowded vocabulary by making the undirected graph and terminal subset are explicit and no edge has two nonterminal endpoints the center of the account. A claim should name the carrier, the governing operation or relation, the applicable assumptions, and the recognition test. A bare label is insufficient because the name Quasi-bipartite graph can be used for a formal identity, an implementation, or a neighboring result unless carrier and convention are stated.
Manages Complexity¶
Without the abstraction, an analyst must reason directly over many local details: the carrier roles, admissibility assumptions, competing conventions, derived invariants, boundary cases, and proof or validation obligations specific to Quasi-bipartite graph. Quasi-bipartite graph compresses them into the roles in the structural signature. That compression permits comparison across instances without erasing the variables that determine validity. It also exposes which details may be varied safely and which are constitutive.
Abstract Reasoning¶
- Identify the carrier. State what the elements, states, objects, or observations are: the typed combinatorial optimization carrier, defining objects and relations, parameters, conventions, evidence, boundary cases, and comparison targets. Reject examples whose alleged carrier belongs to a different problem. 2. Lock the constitutive rule. Express the undirected graph and terminal subset are explicit and no edge has two nonterminal endpoints independently of one notation or implementation.
Knowledge Transfer¶
Knowledge transfers strongly among subfields of combinatorial optimization because they reuse the typed combinatorial optimization carrier, defining objects and relations, parameters, conventions, evidence, boundary cases, and comparison targets, The terminal set is fixed, the remaining Steiner vertices cannot connect to one another and every connecting path therefore alternates through or directly links terminals in a restricted way., and type the carrier, state every parameter and convention in the definition, test that the undirected graph and terminal subset are explicit and no edge has two nonterminal endpoints, compare the nearest accepted identity, and report counterexamples, uncertainty, and limiting cases.
Relationships to Other Abstractions¶
Current abstraction Quasi-bipartite graph Domain-specific
Parents (1) — more general patterns this builds on
-
Quasi-bipartite graph is a kind of Classification Prime
The proposed strict upward parent is
prime:classification.
Hierarchy path (1) — routes to 1 parentless root
- Quasi-bipartite graph → Classification
Neighborhood in Abstraction Space¶
Quasi-bipartite graph sits in a crowded region of the domain-specific corpus (4th percentile for distinctiveness): several abstractions share nearly its structure, so a description that fits it tends to fit its neighbors too.
Family — Combinatorial Optimization & Network Flows (24 abstractions)
Nearest neighbors
- Steiner tree problem — 0.95
- Dissociation number — 0.94
- Closure problem — 0.94
- 3-dimensional matching — 0.93
- Set TSP problem — 0.93
Computed from structural-signature embeddings · 2026-09-08