PROBLEM CATALOG

72 verifiable
mathematical arenas

TopicPacking ProblemsThe hub for all packing families: categories, open sub-problems, verification rules, and downloadable datasets.
TopicCovering ProblemsSix families, 127 instances, cited constructions, and interactive editors in one covering hub.
DRAGGABLE
P96
  • Classic

Consecutive L shapes in a square

Pack n L shapes with short sides 1, 2, …, n into a square without overlap. Each L consists of three equal squares. Translate and rotate the pieces freely to minimise the container side.

Instance
n = 1–50
Objective
Minimize the square's side
DRAGGABLE
P95
  • Classic

Consecutive dominoes in a square

Pack n dominoes with short sides 1, 2, …, n (the k-th is a k × 2k rectangle) without overlap into a square, making the square's side as small as possible. Each domino may be moved, laid flat or stood up, and turned through any angle.

Instance
n = 1–41
Objective
Minimize the square's side
DRAGGABLE
P94
  • Classic

Sum of radii in the regular pentagon

Place n non-overlapping circles of arbitrary radii inside a regular pentagon of side 1 so as to maximise the sum of their radii. In Friedman's tables, this problem is listed under maximising total perimeter (2π times the sum of radii).

Instance
n = 1–50
Objective
Maximize the sum of the radii
DRAGGABLE
P93
  • Classic

Sum of radii in the equilateral triangle

Place n non-overlapping circles of arbitrary radii inside a unit equilateral triangle so as to maximise the sum of their radii. In Friedman's tables, this problem is listed under maximising total perimeter (2π times the sum of radii).

Instance
n = 1–50
Objective
Maximize the sum of the radii
DRAGGABLE
P92
  • Classic

Sum of radii in the unit circle

Place n non-overlapping circles of arbitrary radii inside a unit disc so as to maximise the sum of their radii. In Friedman's tables, this problem is listed under maximising total perimeter (2π times the sum of radii).

Instance
n = 1–50
Objective
Maximize the sum of the radii
DRAGGABLE
P91
  • Classic

L's in a square

Pack n L-trominoes (each formed by three unit squares) into a square container with boundary contact allowed and disjoint interiors, minimising the side length of the container square.

Instance
n = 1–40
Objective
Minimize container square side
DRAGGABLE
P90
  • Classic

Dominoes in a square

Pack n 1 × 2 dominoes into a square container with boundary contact allowed and disjoint interiors, minimising the side length of the container square.

Instance
n = 1–40
Objective
Minimize container square side
DRAGGABLE
P89
  • Classic

Tans in a square

Pack n right isosceles triangles of leg 1 (tans) into a square container with boundary contact allowed and disjoint interiors, minimising the side length of the container square.

Instance
n = 1–24
Objective
Minimize container square side
DRAGGABLE
P87
  • Classic

Equal discs covering a disc

Cover a circular disc with n unit-radius discs, maximising the radius of the covered disc.

Instance
n = 1–90
Objective
Maximize covered disc radius
DRAGGABLE
P86
  • Classic

Regular pentagons in a square

Pack n unit-side regular pentagons into a square container with boundary contact allowed and disjoint interiors, minimising the side length of the container square.

Instance
n = 1–28
Objective
Minimize container square side
DRAGGABLE
P85
  • Classic

Squares in an equilateral triangle

Pack n unit squares into an equilateral triangle container with boundary contact allowed and disjoint interiors, minimising the side length of the container triangle.

Instance
n = 1–38
Objective
Minimize container triangle side
DRAGGABLE
P84
  • Classic

Equilateral triangles in a disc

Pack n unit-side equilateral triangles into a circular disc with boundary contact allowed and disjoint interiors, minimising the radius of the container disc.

Instance
n = 1–35
Objective
Minimize container circle radius
DRAGGABLE
P83
  • Classic

Equilateral triangles in a square

Pack n unit-side equilateral triangles into a square container with boundary contact allowed and disjoint interiors, minimising the side length of the container square.

Instance
n = 1–38
Objective
Minimize container square side
DRAGGABLE
P82
  • Classic

Equal circles in regular polygons

Pack n equal circles into the regular m-gon with centre (1,1), circumradius 1, and first vertex (2,1) so as to maximise their common radius.

Instance
n = 1–248
Objective
Maximize circle radius
DRAGGABLE
P81
  • Classic
  • Applied frontier

Irregular strip nesting

Pack a batch of polygonal industrial parts into a strip of fixed height H using only translations and 90° rotations. Pieces may touch without overlapping interiors; minimise the occupied strip length L.

Instance
n = 1–3
Objective
Minimize occupied length
P67
  • Classic
  • Applied frontier

Variable-radius circles in a fixed-perimeter rectangle

Choose both the rectangle's aspect ratio and the circle radii to pack n non-overlapping circles into a rectangle of perimeter 4, maximizing the sum of their radii.

Instance
n = 1–28
Objective
Maximize sum of radii
P66
  • Classic

Unit circles in a minimum-area triangle

Choose both the triangle shape and the circle arrangement to enclose n non-overlapping unit circles in a triangle of minimum area.

Instance
n = 1–47
Objective
Minimize the triangle area
DRAGGABLE
P57
  • Classic
  • Weak baseline

Sum of radii in the unit square

Place n non-overlapping circles of any sizes in the unit square, maximizing the sum of their radii.

Instance
n = 1–30
Objective
Maximize sum of the radii
DRAGGABLE
P30
  • Classic

Equal circles in a quadrant

Place n equal circles in a quarter-disc of radius 1 to maximize their common radius.

Instance
n = 1–14
Objective
Maximize common radius
DRAGGABLE
P18
  • Classic
  • Weak baseline

Tilted equal squares in the unit square

Place n equal squares with arbitrary orientations inside the unit square to maximize their common side length.

Instance
n = 1–28
Objective
Maximize the smallest side
DRAGGABLE
P13
  • Classic

Packing circles of radius 1,2,…,n into a square

Pack n non-overlapping circles of radii 1, 2, …, n into an enclosing square and minimize its side length.

Instance
n = 1–99
Objective
Minimize square side
DRAGGABLE
P12
  • Classic

Equal-circle packing in a 2:1 rectangle

Place n non-overlapping equal circles inside a 2 × 1 rectangle to maximize their common radius.

Instance
n = 1–98
Objective
Maximize common radius
DRAGGABLE
P11
  • Classic

Equal-circle packing in a right triangle

Place n non-overlapping equal circles inside a right triangle with legs 1 and 0.75 to maximize their common radius.

Instance
n = 1–11
Objective
Maximize common radius
DRAGGABLE
P10
  • Formed here

Equal circles in a plus sign

Place n non-overlapping equal circles inside a cross-shaped region to maximize their common radius.

Instance
n = 1–16
Objective
Maximize common radius
DRAGGABLE
P09
  • Classic

Equal circles in a half-disc

Place n non-overlapping equal circles inside a half-disk of radius 1 to maximize their common radius.

Instance
n = 1–14
Objective
Maximize common radius
DRAGGABLE
P08
  • Classic

Equal circles in an L

Place n non-overlapping equal circles inside an L-shaped region to maximize their common radius.

Instance
n = 1–15
Objective
Maximize common radius
DRAGGABLE
P06
  • Classic

Packing circles of radius 1,2,…,n into a circle

Pack n non-overlapping circles of radii 1, 2, …, n into an enclosing circle and minimize its radius.

Instance
n = 1–200
Objective
Minimize container radius
DRAGGABLE
P05
  • Classic

Tilted equal squares in a circle

Place n equal squares with arbitrary orientations inside a circle of radius 1 to maximize their common side length.

Instance
n = 1–38
Objective
Maximize the smallest side
DRAGGABLE
P02
  • Classic
  • Weak baseline

Equal-circle packing in a unit circle

Place n non-overlapping equal circles inside the unit circle to maximize their common radius.

Instance
n = 1–300
Objective
Maximize common radius
DRAGGABLE
P01
  • Classic

Equal-circle packing in a unit square

Place n non-overlapping equal circles inside the unit square to maximize their common radius.

Instance
n = 1–300
Objective
Maximize common radius

Frozen problems

These problems are closed to new submissions for the reasons noted below. Their records and attributions stay as history and, since 2026-10-04, earn no contribution points.

P27 · Spreading points in an annulus

Frozen since 2026-08-27 · This narrow annulus may degenerate over a wide range of n, making evenly spaced single-ring configurations provably optimal. Frozen pending a degeneracy audit.

P07 · Spreading points in a circle

Frozen since 2026-08-28 · Mathematically equivalent to P02 (equal circles in a disc): the packing radius r and minimum point separation d are related by the strictly monotone bijection d = 2r/(1 − r), so any solution to one converts directly into a solution to the other. The catalogue retains P02, the standard formulation in the literature.

P15 · Spreading points in the unit square

Frozen since 2026-08-28 · Mathematically equivalent to P01 (equal circles in the unit square) under d = 2r/(1 − 2r); Specht's reference table lists both quantities as columns of the same table. The catalogue retains the circle-packing formulation (P01).