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Corner-point grid

A three-dimensional hexahedral grid whose cells are defined by ordered pillars and independently positioned corner points along those pillars.

Version
v1 · 2026-09-08 · History
Domain-specific #
3917
Origin domain
computational geometry
Subdomain
computational geometry

Core Idea

Faults, pinched cells, nonplanar faces and inactive cells require explicit topology and geometry; it is more flexible than a Cartesian grid but can create distorted cells. Pillars establish lateral ordering, depth coordinates place two corners per pillar for each layer and adjacent pillar-corner sets form cells on which properties are interpolated and fluxes computed. 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

Corner-point grid belongs to computational geometry and is useful where the analyst can specify the typed computational geometry carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets, then evaluate the three-dimensional domain, ordered pillars and endpoints, layer corner depths, i j k indexing, eight corners and six faces per cell, adjacency and faults, interpolation rule, active-cell mask and geometry-quality checks are explicit. The scope is broad within that domain but bounded by the need for the three-dimensional domain, ordered pillars and endpoints, layer corner depths, i j k indexing, eight corners and six faces per cell, adjacency and faults, interpolation rule, active-cell mask and geometry-quality checks are explicit.

Clarity

The abstraction clarifies a crowded vocabulary by making the three-dimensional domain, ordered pillars and endpoints, layer corner depths, i j k indexing, eight corners and six faces per cell, adjacency and faults, interpolation rule, active-cell mask and geometry-quality checks are explicit the center of the account. A claim should name the carrier, the governing operation or relation, the applicable assumptions, and the recognition test.

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 Corner-point grid. Corner-point grid 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

  1. Identify the carrier. State what the elements, states, objects, or observations are: the typed computational geometry carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets. Reject examples whose alleged carrier belongs to a different problem. 2. Lock the constitutive rule. Express the three-dimensional domain, ordered pillars and endpoints, layer corner depths, i j k indexing, eight corners and six faces per cell, adjacency and faults, interpolation rule, active-cell mask and geometry-quality checks are explicit independently of one notation or implementation.

Knowledge Transfer

Knowledge transfers strongly among subfields of computational geometry because they reuse the typed computational geometry carrier, including objects, relations, parameters, conventions, evidence, boundaries, and comparison targets, Pillars establish lateral ordering, depth coordinates place two corners per pillar for each layer and adjacent pillar-corner sets form cells on which properties are interpolated and fluxes computed., and type the carrier, state every parameter and convention in the definition, test that the three-dimensional domain, ordered pillars and endpoints, layer corner depths, i j k indexing, eight corners and six faces per cell, adjacency and faults, interpolation rule, active-cell mask and geometry-quality checks are explicit, compare the nearest accepted identity, and report counterexamples, uncertainty, and limiting cases.

Relationships to Other Abstractions

Local relationship map for Corner-point gridParents appear above the current abstraction, mutual partners to the right, and children below. Node labels state whether each abstraction is prime or domain-specific; colors identify relation types.Corner-point gridDOMAINPrime abstraction: Representation — is a kind ofRepresentationPRIME

Current abstraction Corner-point grid Domain-specific

Parents (1) — more general patterns this builds on

  • Corner-point grid is a kind of Representation Prime

    The proposed strict upward parent is prime:representation.

Hierarchy path (1) — routes to 1 parentless root

Neighborhood in Abstraction Space

Corner-point grid sits in a crowded region of the domain-specific corpus (15th percentile for distinctiveness): several abstractions share nearly its structure, so a description that fits it tends to fit its neighbors too.

Family — Convex Geometry & Spatial Partition (35 abstractions)

Nearest neighbors

Computed from structural-signature embeddings · 2026-09-08