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Das Optimierungslabor – ein Erfahrungsbericht
(2012)
- Seit mehreren Jahren besuchen uns Schülerinnen und Schüler an der Universität zu Anlässen wie dem Tag der Mathematik, dem Girls’ Day, der MINT-Universität oder einfach auf Initiative ihrer Klassenleitungen. Sie möchten einen Einblick in die Welt der Mathematik über die Schulmathematik hinaus bekommen. Doch wie lässt sich die Brücke vom Schulstoff zu den Inhalten der Universitätsmathematik schlagen? Und: findet man einen Themenschwerpunkt, bei dem ein aktives Mitmachen trotz fehlender Vorkenntnisse in Anbetracht begrenzter Zeit möglich wird? In der diskreten Optimierung lassen sich Problem-Modellierung und Problem-Lösung sehr gut trennen. Selbst forschungsnahe Modelle der ganzzahligen linearen Optimierung (MILP-Modelle) basieren auf sehr elementaren Überlegungen, wie die Entscheidungsmöglichkeiten, Ziele und Restriktionen eines Alltagsproblems in Variablen, Bewertungsfunktionen, Gleichungen und Ungleichungen ausgedrückt werden können. Wie dann optimale Lösungen gefunden werden, erfordert zwar tiefergehende Mathematik, es gibt aber Software dafür, in der das Wissen aus Teilen des Mathematik-Studiums und der mathematischen Forschung kondensiert vorliegt. Unser Vermittlungsziel: Schülerinnen und Schüler wissen nach dem Besuch, dass man verschiedenste Probleme angreifen kann, indem man sie in die Sprache der Mathematik übersetzt, denn in Software gegossenes mathematisches Know-How kann dann diese Probleme lösen, ohne etwas über die Probleme selbst zu wissen. Unsere Idee für eine Maßnahme: Ein Optimierungslabor. Die Schülerinnen und Schüler isolieren in Teamarbeit die wesentlichen logischen Merkmale von Sudokulösen, Rucksackpacken, Routenplanung u.v.a.m. Dann übersetzen sie die Problemstellungen in die Sprache der Mathematik (hier: MILP-Modelle) und lassen sie (unterstützt durch unser Team) von Computerprogrammen lösen (MILP-Löser), die nichts anderes als diese Sprache verstehen. Schließlich übersetzen sie die mathematischen Lösungen wieder in die Sprache der Problemstellung. Erfahrungen mit der Modellierung auf Basis linearer Gleichungssysteme können dabei aus dem Schulunterricht eingebracht werden. In diesem Bericht wollen wir unsere Erfahrungen mit konkreten Details der Umsetzung schildern.
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The Integrated Size and Price Optimization problem
(2012)
- We present the Integrated Size and Price Optimization Problem (ISPO) for a fashion discounter with many branches. Based on a two-stage stochastic programming model with recourse, we develop an exact algorithm and a production-compliant heuristic that produces small optimality gaps. In a field study we show that a distribution of supply over branches and sizes based on ISPO solutions is significantly better than a one-stage optimization of the distribution ignoring the possibility of optimal pricing.
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An exact column-generation approach for the lot-type design problem
(2012)
- We consider a fashion discounter distributing its many branches with integral multiples from a set of available lot-types. For the problem of approximating the branch and size dependent demand using those lots we propose a tailored exact column generation approach assisted by fast algorithms for intrinsic subproblems, which turns out to be very efficient on our real-world instances.
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Maximal integral point sets over Z^2
(2008)
- Geometrical objects with integral side lengths have fascinated mathematicians through the ages. We call a set P={p(1),...,p(n)} in Z^2 a maximal integral point set over Z^2 if all pairwise distances are integral and every additional point p(n+1) destroys this property. Here we consider such sets for a given cardinality and with minimum possible diameter. We determine some exact values via exhaustive search and give several constructions for arbitrary cardinalities. Since we cannot guarantee the maximality in these cases we describe an algorithm to prove or disprove the maximality of a given integral point set. We additionally consider restrictions as no three points on a line and no four points on a circle.
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The Top-Dog Index: A New Measurement for the Demand Consistency of the Size Distribution in Pre-Pack Orders for a Fashion Discounter with Many Small Branches
(2008)
- We propose the new Top-Dog-Index, a measure for the branch-dependent historic deviation of the supply data of apparel sizes from the sales data of a fashion discounter. A common approach is to estimate demand for sizes directly from the sales data. This approach may yield information for the demand for sizes if aggregated over all branches and products. However, as we will show in a real-world business case, this direct approach is in general not capable to provide information about each branchs individual demand for sizes: the supply per branch is so small that either the number of sales is statistically too small for a good estimate (early measurement) or there will be too much unsatisfied demand neglected in the sales data (late measurement). Moreover, in our real-world data we could not verify any of the demand distribution assumptions suggested in the literature. Our approach cannot estimate the demand for sizes directly. It can, however, individually measure for each branch the scarcest and the amplest sizes, aggregated over all products. This measurement can iteratively be used to adapt the size distributions in the pre-pack orders for the future. A real-world blind study shows the potential of this distribution free heuristic optimization approach: The gross yield measured in percent of gross value was almost one percentage point higher in the test-group branches than in the control-group branches.
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Bounds for the minimum oriented diameter
(2008)
- We consider the problem of finding an orientation with minimum diameter of a connected bridgeless graph. Fomin et. al. discovered a relation between the minimum oriented diameter an the size of a minimal dominating set. We improve their upper bound.
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Enumeration of integral tetrahedra
(2007)
- We determine the numbers of integral tetrahedra with diameter d up to isomorphism for all d<=1000 via computer enumeration. Therefore we give an algorithm that enumerates the integral tetrahedra with diameter at most d in O(d^5) time and an algorithm that can check the canonicity of a given integral tetrahedron with at most 6 integer comparisons. For the number of isomorphism classes of integral 4x4 matrices with diameter d fulfilling the triangle inequalities we derive an exact formula.
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Convex hulls of polyominoes
(2007)
- In this article we prove a conjecture of Bezdek, Brass, and Harborth concerning the maximum volume of the convex hull of any facet-to-facet connected system of $n$ unit hypercubes in $mathbb{R}^d$. For $d=2$ we enumerate the extremal polyominoes and determine the set of possible areas of the convex hull for each $n$.
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Integral point sets over finite fields
(2007)
- We consider point sets in the affine plane GF(q)^2 where each Euclidean distance of two points is an element of GF(q). These sets are called integral point sets and were originally defined in m-dimensional Euclidean spaces. We determine their maximal cardinality I(GF(q),2). For arbitrary commutative rings R instead of GF(q) or for further restrictions as no three points on a line or no four points on a circle we give partial results. Additionally we study the geometric structure of the examples with maximum cardinality.
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Inclusion-maximal integral point sets over finite fields
(2007)
- We consider integral point sets in affine planes over finite fields. Here an integral point set is a set of points in $GF(q)^2$ where the formally defined Euclidean distance of every pair of points is an element of $GF(q)$. From another point of view we consider point sets over $GF(q)^2$ with few and prescribed directions. So this is related to Redeis work. Another motivation comes from the field of ordinary integral point sets in Euclidean spaces. In this article we study the spectrum of integral point sets over $GF(q)^2$ which are maximal with respect to inclusion. We give some theoretical results, constructions, conjectures, and some numerical data.
