{ "id": "2408.14256", "version": "v1", "published": "2024-08-26T13:20:56.000Z", "updated": "2024-08-26T13:20:56.000Z", "title": "Looking for all solutions of the Max Atom Problem (MAP)", "authors": [ "Laurent Truffet" ], "comment": "in French language", "categories": [ "math.CO" ], "abstract": "This present paper provides the absolutely necessary corrections to the previous work entitled {\\it A polynomial Time Algorithm to Solve The Max-atom Problem} (arXiv:2106.08854v1). The max-atom-problem (MAP) deals with system of scalar inequalities (called atoms or max-atom) of the form: $x \\leq a + \\max(y,z)$. Where $a$ is a real number and $x,y$ and $z$ belong to the set of the variables of the whole MAP. A max-atom is said to be positive if its scalar $a$ is $\\geq 0$ and stricly negative if its scalar $a <0$. A MAP will be said to be positive if all atoms are positive. In the case of non positive MAP we present a saturation principle for system of vectorial inequalities of the form $x \\leq A x + b$ in the so-called $(\\max,+)$-algebra assuming some properties on the matrix $A$. Then, we apply such principle to explore all non-trivial solutions (ie $\\neq -\\infty$). We deduce a strongly polynomial method to express all solutions of a non positive MAP. In the case a positive MAP which has always the vector $x^{1}=(0)$ as trivial solution we show that looking for all solutions requires the enumeration of all elementary circuits in a graph associated with the MAP. However, we propose a strongly polynomial method wich provides some non trivial solutions.", "revisions": [ { "version": "v1", "updated": "2024-08-26T13:20:56.000Z" } ], "analyses": { "subjects": [ "68Q15", "68Q25" ], "keywords": [ "max atom problem", "non positive map", "polynomial time algorithm", "strongly polynomial method wich", "non trivial solutions" ], "note": { "typesetting": "TeX", "pages": 0, "language": "fr", "license": "arXiv", "status": "editable" } } }