<snapdata remixID="12478243"><project name="M6p2-1 FractalRecursiu_Triangle" app="Snap! 8.2, https://snap.berkeley.edu" version="2"><notes>Construim un fractal de forma recursiva. Començarem amb el triangle de Sierpinsky. El mètode seria el següent:&#xD;1) Construïm un triangle equilàter&#xD;2) Calculem els punts mitjos de cada costat&#xD;3) Els ajuntem amb línies rectes&#xD;4) En traiem el triangle que queda al mig&#xD;5)  Repetim el procés en cada un dels 3 triangles des del punt 2&#xD;&#xD;D&apos;aquesta manera començarem amb un triangle, després del primer pas n&apos;obtindrem 3 de nous, pel segon pas, n&apos;obtindrem 3 per cada triangle obtingut a l&apos;anterior pas, per tant, obtindrem 9 triangles. I anem repetint el procés de forma successiva de manera que a cada pas obtenim el mateix número de triangles que hem obtingut en el pas anterior multiplicat per 3. La successió de nombre triangles que anem creant a cada pas seria 3n&#xD;&#xD;Aquest projecte és dins dels materials que trobareu a http://ja.cat/matsnap</notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="M6p2-1 FractalRecursiu_Triangle"><notes>Construim un fractal de forma recursiva. Començarem amb el triangle de Sierpinsky. El mètode seria el següent:&#xD;1) Construïm un triangle equilàter&#xD;2) Calculem els punts mitjos de cada costat&#xD;3) Els ajuntem amb línies rectes&#xD;4) En traiem el triangle que queda al mig&#xD;5)  Repetim el procés en cada un dels 3 triangles des del punt 2&#xD;&#xD;D&apos;aquesta manera començarem amb un triangle, després del primer pas n&apos;obtindrem 3 de nous, pel segon pas, n&apos;obtindrem 3 per cada triangle obtingut a l&apos;anterior pas, per tant, obtindrem 9 triangles. I anem repetint el procés de forma successiva de manera que a cada pas obtenim el mateix número de triangles que hem obtingut en el pas anterior multiplicat per 3. La successió de nombre triangles que anem creant a cada pas seria 3n&#xD;&#xD;Aquest projecte és dins dels materials que trobareu a http://ja.cat/matsnap</notes><hidden></hidden><headers></headers><code></code><blocks><block-definition s="Sierpinski mida %&apos;mida&apos; nivell %&apos;nivell&apos; res" type="command" category="control"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doWarp"><script><block s="doIfElse"><block s="reportVariadicEquals"><list><block var="nivell"/><l>0</l></list></block><script><block s="setHeading"><l>210</l></block><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>120</l></block><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>120</l></block><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>120</l></block></script><script><block s="setHeading"><l>210</l></block><block s="forward"><block 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%&apos;mida&apos; nivell %&apos;nivell&apos;" type="command" category="control"><header></header><code></code><translations></translations><inputs><input type="%s"></input><input type="%s"></input></inputs><script><block s="doWarp"><script><block s="doIf"><block s="reportVariadicGreaterThan"><list><block var="nivell"/><l>0</l></list></block><script><block s="doRepeat"><l>3</l><script><block s="forward"><block var="mida"/></block><block s="turnLeft"><l>120</l></block><custom-block s="Sierpinski mida %s nivell %s"><block s="reportQuotient"><block var="mida"/><l>2</l></block><block s="reportDifference"><block var="nivell"/><l>1</l></block></custom-block></script></block></script></block></script></block></script></block-definition></blocks><stage name="Escenari" width="480" height="360" costume="0" color="255,255,255,1" tempo="60" threadsafe="false" penlog="false" volume="100" pan="0" lines="round" ternary="false" hyperops="true" codify="false" inheritance="true" sublistIDs="false" 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</pentrails><costumes><list 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