A continuación, estudiaremos las distintas aplicaciones del análisis como serán el cálculo de límites, derivadas o integrales, sumas y productos.[br]Utilizaremos para ello las opciones de la [b]Vista Cálculo simbólico[/b] (CAS) que comenzaremos activando.[br][br][img 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[/img][br][br]Recordemos que la función derivada de una función se puede obtener utilizando el comando [b]Derivada[/b] a través de la línea de entrada.

Para obtener en la vista CAS la derivada de una función disponemos del botón [img width=32,height=33]data:image/png;base64,/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAoHBwgHBgoICAgLCgoLDhgQDg0NDh0VFhEYIx8lJCIfIiEmKzcvJik0KSEiMEExNDk7Pj4+JS5ESUM8SDc9Pjv/wAALCAAhACABAREA/8QAHwAAAQUBAQEBAQEAAAAAAAAAAAECAwQFBgcICQoL/8QAtRAAAgEDAwIEAwUFBAQAAAF9AQIDAAQRBRIhMUEGE1FhByJxFDKBkaEII0KxwRVS0fAkM2JyggkKFhcYGRolJicoKSo0NTY3ODk6Q0RFRkdISUpTVFVWV1hZWmNkZWZnaGlqc3R1dnd4eXqDhIWGh4iJipKTlJWWl5iZmqKjpKWmp6ipqrKztLW2t7i5usLDxMXGx8jJytLT1NXW19jZ2uHi4+Tl5ufo6erx8vP09fb3+Pn6/9oACAEBAAA/APXrH/j2/wCBv/6EaTUdQtNJ0+a/v51gtoF3SSNnCj8KxtN8eeHNU0q91S3vmFpYKGnkkhdNqnOCARk5wema3LS6hvrOC8t2Lw3EayRsVK5VhkHB5HB6GmWBzaAju7/+hGuF+M02rL4LvIre0gfTXWM3M7SYkjPmptCr3ycVFc+H/FPjLwLbaPd/YdIgzCcxOZPNhVRge3ODj2FeiwxJbwRwxKFjjUKqjsAMAVBpv/Hin+83/oRrlvi7/wAkw1f/ALY/+jo66bRv+QHYf9e0f/oIq7WZY31vDaLHI5DAtkbGPcn0qZ9QsZFKO25T1DRMQf0pRqdmBgSEAf8ATNv8Krahq4ithJaSoGVhv8yB2wvcgAjp169qz6KKRvun6V//2Q==[/img] que devolverá la función derivada de la expresión sobre la que se aplique.[br][br][img width=267,height=90]data:image/png;base64,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[/img][br][br]Recordemos que al marcar el círculo que aparece debajo del número de orden de la fila, obtendremos su representación en la [b]Vista gráfica[/b] y la definición de la función en la [b]Vista algebraica[/b].[br]

El comando [b]Derivada[/b] cuya sintaxis ya conocemos, admite más opciones que exponemos a continuación.[br]Añadiendo un argumento más en la sintaxis anterior obtendremos las derivadas de orden superior.[br]Por tanto, para obtener la derivada de orden n de una función f(x) escribiremos:[br][b][br]Derivada(f(x),n)[/b][br][br]Aprovechando las posibilidades que ofrecen los deslizadores, podemos incluir uno para ir variando el orden de la derivada. [br]Por ejemplo, creamos un deslizador [i]n[/i] que varíe entre 1 y 10, con incrementos de una unidad, y una  función [img width=147,height=21]data:image/png;base64,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[/img].[br]A continuación introducimos el comando [b]Derivada(f(x), n)[/b][br]Obtendremos la primera derivada de la función f(x).[br]Al variar el valor de [i]n[/i] en el deslizador irán apareciendo las sucesivas derivadas de la función.