data:image/png;base64,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data:image/png;base64,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 Dona el grau de Q(x) m= mllista_Q(x)i0llista_Q(x)llista_P(x)llista_S(x)Llista_de_llistes_suma_p(x)+q(x)SumaP(x)+Q(x)120,1,11,1,1111,2,20Suma,P(x)+Q(x)