### Abstract

We present an algorithm for finding a solution to the two-dimensional translational approximate multiple containment problem: find translations for k polygons which place them inside a polygonal container so that no point of any polygon is more than 2ε inside of the boundary of any other polygon. The polygons and container may be nonconvex. The value of ε is an input to the algorithm. In industrial applications the containment solution acts as a guide to a machine cutting out polygonal shapes from a sheet of material. If ε is chosen to be a fraction of the cutter's accuracy, then the solution to the approximate containment problem is sufficient for industrial purposes. Given a containment problem, we characterize its solution and create a collection of containment sub-problems from this characterization. We solve each subproblem by first restricting certain two-dimensional configuration spaces until a steady state is reached, and then testing for a solution inside the configuration spaces. If necessary, we subdivide the configuration spaces to generate new subproblems. The running time of our algorithm is O((1/ε)k log(1/ε)k^{6},s log s), where s is the largest number of vertices of any polygon generated by a restriction operation. In the worst case s can be exponential in the size of the input, but, in practice, it is usually not more than quadratic.

Original language | English (US) |
---|---|

Pages (from-to) | 148-182 |

Number of pages | 35 |

Journal | Algorithmica (New York) |

Volume | 19 |

Issue number | 1 |

State | Published - 1997 |

### Fingerprint

### Keywords

- Approximation
- Computational geometry
- Containment
- Layout
- Marker making
- Nesting
- Packing

### ASJC Scopus subject areas

- Computer Graphics and Computer-Aided Design
- Software
- Safety, Risk, Reliability and Quality
- Applied Mathematics

### Cite this

*Algorithmica (New York)*,

*19*(1), 148-182.

**Multiple translational containment part I : An approximate algorithm.** / Daniels, K.; Milenkovic, Victor.

Research output: Contribution to journal › Article

*Algorithmica (New York)*, vol. 19, no. 1, pp. 148-182.

}

TY - JOUR

T1 - Multiple translational containment part I

T2 - An approximate algorithm

AU - Daniels, K.

AU - Milenkovic, Victor

PY - 1997

Y1 - 1997

N2 - We present an algorithm for finding a solution to the two-dimensional translational approximate multiple containment problem: find translations for k polygons which place them inside a polygonal container so that no point of any polygon is more than 2ε inside of the boundary of any other polygon. The polygons and container may be nonconvex. The value of ε is an input to the algorithm. In industrial applications the containment solution acts as a guide to a machine cutting out polygonal shapes from a sheet of material. If ε is chosen to be a fraction of the cutter's accuracy, then the solution to the approximate containment problem is sufficient for industrial purposes. Given a containment problem, we characterize its solution and create a collection of containment sub-problems from this characterization. We solve each subproblem by first restricting certain two-dimensional configuration spaces until a steady state is reached, and then testing for a solution inside the configuration spaces. If necessary, we subdivide the configuration spaces to generate new subproblems. The running time of our algorithm is O((1/ε)k log(1/ε)k6,s log s), where s is the largest number of vertices of any polygon generated by a restriction operation. In the worst case s can be exponential in the size of the input, but, in practice, it is usually not more than quadratic.

AB - We present an algorithm for finding a solution to the two-dimensional translational approximate multiple containment problem: find translations for k polygons which place them inside a polygonal container so that no point of any polygon is more than 2ε inside of the boundary of any other polygon. The polygons and container may be nonconvex. The value of ε is an input to the algorithm. In industrial applications the containment solution acts as a guide to a machine cutting out polygonal shapes from a sheet of material. If ε is chosen to be a fraction of the cutter's accuracy, then the solution to the approximate containment problem is sufficient for industrial purposes. Given a containment problem, we characterize its solution and create a collection of containment sub-problems from this characterization. We solve each subproblem by first restricting certain two-dimensional configuration spaces until a steady state is reached, and then testing for a solution inside the configuration spaces. If necessary, we subdivide the configuration spaces to generate new subproblems. The running time of our algorithm is O((1/ε)k log(1/ε)k6,s log s), where s is the largest number of vertices of any polygon generated by a restriction operation. In the worst case s can be exponential in the size of the input, but, in practice, it is usually not more than quadratic.

KW - Approximation

KW - Computational geometry

KW - Containment

KW - Layout

KW - Marker making

KW - Nesting

KW - Packing

UR - http://www.scopus.com/inward/record.url?scp=24044472461&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=24044472461&partnerID=8YFLogxK

M3 - Article

AN - SCOPUS:24044472461

VL - 19

SP - 148

EP - 182

JO - Algorithmica

JF - Algorithmica

SN - 0178-4617

IS - 1

ER -