<snapdata remixID="14382693"><project name="montecarlo_sinus" app="Snap! 10.7.2, https://snap.berkeley.edu" version="2"><notes>Un cop hem fet amb detall el mètode de Montecarlo per a aproximar Pi, generalitzem el mètode al càlcul de qualsevol àrea, en particular, la del sin(x) entre 0 i pi.</notes><thumbnail>data:image/png;base64,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</thumbnail><scenes select="1"><scene name="montecarlo_sinus"><notes>Un cop hem fet amb detall el mètode de Montecarlo per a aproximar Pi, generalitzem el mètode al càlcul de qualsevol àrea, en particular, la del sin(x) entre 0 i pi.</notes><hidden></hidden><headers></headers><code></code><blocks></blocks><primitives></primitives><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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s="reportRandom"><l>0</l><l>100</l></block></block><block s="doIfElse"><block s="reportVariadicLessThanOrEquals"><list><block s="yPosition"></block><block s="reportVariadicProduct"><list><l>100</l><block s="reportMonadic"><l><option>sin</option></l><block s="xPosition"></block></block></list></block></list></block><script><block s="setColor"><color>26,255,32,1</color></block><block s="doChangeVar"><l>dins</l><l>1</l></block></script><script><block s="setColor"><color>234,35,0,1</color></block></script></block><block s="doChangeVar"><l>tot</l><l>1</l></block><block s="down"></block><block s="forward"><l>0</l></block><block s="up"></block><block s="doSetVar"><l>P(dins)</l><block s="reportQuotient"><block var="dins"/><block var="tot"/></block></block><block s="doSetVar"><l>area</l><block s="reportVariadicProduct"><list><l>3.141592453</l><block var="P(dins)"/></list></block></block></script></block></script></scripts></sprite><watcher var="dins" style="normal" x="7.484407484407484" y="7.484407484407484" color="243,118,29"/><watcher var="tot" style="normal" x="7.484407484407484" y="29.56341106029106" color="243,118,29"/><watcher var="P(dins)" style="normal" x="7.484407484407484" y="94.72141821205821" color="243,118,29"/><watcher var="area" style="normal" x="4.484407484407484" y="126.64241463617464" color="243,118,29"/></sprites></stage><variables><variable name="dins"><l>64013</l></variable><variable name="tot"><l>101539</l></variable><variable name="area"><l>1.9805469592362441</l></variable><variable name="P(dins)"><l>0.6304277174287712</l></variable></variables></scene></scenes></project><media name="montecarlo_sinus" app="Snap! 10.7.2, https://snap.berkeley.edu" version="2"></media></snapdata>