Autonum der Punkte/Knoten v[sub]i[/sub] und Segmente/Kanten e[sub]i[/sub] (Tool Segment)[br]Kantenfarbe entsprechend der ersten Kante[br]G(V) Adjazentliste, popup bfs, dfs Pfade mit Startpunkt X[br]G(VE), Knoten, Grad, Adjazenten (Nachbarn)[br]ClickEx: click visible off [br][br][X[sub]adj[/sub]] stelle die Adjazenz-Matrix Xadj (Algebra-View) dar. [br]Notwendige Knotenpunkte positionieren - Kanten löschen![br][G(VE)], [G(V)] Listen und Adjazenz- und Inzidenz-Matrix erstellen: Übertrag zu Graphonline
Ein Graph G = (V,E) sei gegeben mit V = {v[sub]1[/sub],...,v[sub]n[/sub]} und e[sub]k[/sub] = {v[sub]i[/sub],v[sub]j[/sub] }(mit geeigneten i,j) für e[sub]k[/sub] ∈ E. [br]Die Adjazenzmatrix A(G) = (aij ) von G ist die n×n-Matrix mit folgenden Einträgen:[br]a[sub]ij[/sub] ={ 1 falls e[sub]k[/sub]={v[sub]i[/sub],v[sub]j[/sub]} ∈ E, 0 sonst}[br][br][table][tr][td]Adj:= [color=#1155Cc][/color][size=85][color=#1155Cc]removed{}[/color][/size][br]0, 1, 0, 1, 1, 1, 0, 1, [br]1, 0, 1, 0, 0, 0, 0, 0, [br]0, 1, 0, 1, 1, 1, 1, 0, [br]1, 0, 1, 0, 0, 0, 0, 0, [br]1, 0, 1, 0, 0, 0, 1, 1, [br]1, 0, 1, 0, 0, 0, 0, 0, [br]0, 0, 1, 0, 1, 0, 0, 0, [br]1, 0, 0, 0, 1, 0, 0, 0 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[/img][br][i]Der Graph hat [/i][br][size=85]Eulerschen Pfad: 2⇒4⇒0⇒5⇒2⇒1⇒0⇒3⇒2⇒6⇒4⇒7⇒0[/size][/td][/tr][tr][td]Adj:=[br]0, 1, 1, 0, 0, 0, 0, 0, [br]1, 0, 1, 0, 1, 1, 0, 0, [br]1, 1, 0, 1, 0, 0, 1, 0, [br]0, 0, 1, 0, 1, 0, 0, 0, [br]0, 1, 0, 1, 0, 1, 1, 0, [br]0, 1, 0, 0, 1, 0, 1, 1, [br]0, 0, 1, 0, 1, 1, 0, 1, [br]0, 0, 0, 0, 0, 1, 1, 0,[/td][td][img]data:image/png;base64,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[/img][br][i]Graph hat einen[/i] [br][size=85]Eulerkreis: 0⇒1⇒4⇒3⇒2⇒6⇒5⇒7⇒6⇒4⇒5⇒1⇒2⇒0[/size][br][size=85]Hamilton-Zyklus: 0⇒1⇒5⇒7⇒6⇒4⇒3⇒2⇒0[/size][/td][/tr][/table] [br][math]\searrow[/math] Graph Adjazenzmatrix [br]ggf. auch Inzd [math]\searrow[/math] Graph Inzidenzmatrix