Computeralgebra-System (CAS)

Mit dem Computeralgebra-System von GeoGebra können [b]symbolische Berechnungen[/b] vorgenommen werden. Über die Eingabezeile in der [i]CAS-Ansicht[/i] ist es etwa möglich, Funktionen zu definieren. Für eine anschließende analytische Untersuchung können CAS-Befehle (wie Nullstellen, Ableitung usw.) genutzt werden.[br][br][img]data:image/png;base64,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[/img]
[b][size=150]Arbeitsauftrag[/size][/b][br]Definieren ( mit [i]:=[/i] ) Sie im unten stehenden Applet die Funktion [math]f\left(x\right):=0.25x^3-1.25x^2+0.5x+3[/math] über die Eingabezeile in der [i]CAS-Ansicht[/i]. Bestimmen Sie anschließend die Nullstellen der Funktion f, indem Sie den CAS-Befehl [i]Nullstelle[/i] nutzen.

Information: Computeralgebra-System (CAS)