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Sesion1_matlab.html
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.S15 { border-left: 1px solid rgb(217, 217, 217); border-right: 1px solid rgb(217, 217, 217); border-top: 0px none rgb(33, 33, 33); border-bottom: 1px solid rgb(217, 217, 217); border-radius: 0px 0px 4px 4px; padding: 0px 45px 4px 13px; line-height: 18.004px; min-height: 0px; white-space: nowrap; color: rgb(33, 33, 33); font-family: Menlo, Monaco, Consolas, "Courier New", monospace, Menlo, Monaco, Consolas, "Courier New", monospace; font-size: 14px; }</style></head><body><div class = rtcContent><h1 class = 'S0'><span>Sesion 1: Introducción a MATLAB</span></h1><h2 class = 'S1'><span>Trabajando con MATLAB</span></h2><div class = 'S2'><span>En la práctica uno debe conocer</span></div><ul class = 'S3'><li class = 'S4'><span>Entorno de trabajo: ventana de comandos, workspace, barras de herramientas</span></li><li class = 'S4'><span>Editores de scripts: scripts, funciones, livescripts</span></li><li class = 'S4'><span>Fundamentos básicos</span></li><li class = 'S4'><span>IA de MATLAB</span></li><li class = 'S4'><span>Atajos de teclado</span></li></ul><h2 class = 'S5'><span>Livescripts en MATLAB</span></h2><h3 class = 'S6'><span>Características:</span></h3><ul class = 'S3'><li class = 'S4'><span>Extensión .mlx (por ejemplo, Sesion</span><span style=' font-family: monospace;'>1_matlab.mlx</span><span>)</span></li><li class = 'S4'><span>Integra texto (Markdown) y comandos de MATLAB</span></li><li class = 'S4'><span>Organización por secciones</span></li><li class = 'S4'><span>Manejo de funciones de usuario en el mismo documento</span></li></ul><h3 class = 'S6'><span>Atajos de teclado</span></h3><ul class = 'S3'><li class = 'S4'><span style=' font-family: monospace;'>Ctrl +</span><span>: Zoom</span></li><li class = 'S4'><span style=' font-family: monospace;'>Ctrl + N</span><span>: Nuevo script</span></li><li class = 'S4'><span style=' font-family: monospace;'>Ctrl + S</span><span>: Guardar script</span></li><li class = 'S4'><span style=' font-family: monospace;'>Ctrl + Enter</span><span>: Ejecutar una sección</span></li></ul><h3 class = 'S6'><span>Modo MATLAB</span></h3><div class="CodeBlock"><div class="inlineWrapper outputs"><div class = 'S7'><span style="white-space: pre"><span >a=1000</span></span></div><div class = 'S8'><div class='variableElement' style='font-family: Menlo, Monaco, Consolas, "Courier New", monospace; font-size: 12px; '>a = 1000</div></div></div><div class="inlineWrapper"><div class = 'S9'><span style="white-space: pre"><span >A=[1 2; </span></span></div></div><div class="inlineWrapper outputs"><div class = 'S10'><span style="white-space: pre"><span > 2 1]</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper disableDefaultGestureHandling embeddedOutputsVariableMatrixElement" uid="77836869" prevent-scroll="true" data-testid="output_1" data-width="1014" tabindex="-1" style="width: 1044px; white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="matrixElement veSpecifier saveLoad eoOutputContent" role="article" aria-roledescription="Use Browse Mode to explore " aria-description="variable output " style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="veVariableName variableNameElement double" style="width: 1014px; white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="headerElementClickToInteract" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><span style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;">A = </span><span class="veVariableValueSummary veMetaSummary" style="white-space: normal; font-style: italic; color: rgb(97, 97, 97); font-size: 12px;">2×2</span></div></div><div class="valueContainer" data-layout="{"columnWidth":40,"totalColumns":2,"totalRows":2,"charsPerColumn":6}" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="variableValue" style="width: 82px; white-space: pre; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"> 1 2
2 1
</div><div class="horizontalEllipsis hide" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><mw-icon icon-id="meatballMenuUI" icon-width="16" icon-height="16" icon-config="{}" svg-path="" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></mw-icon></div><div class="verticalEllipsis hide" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><mw-icon icon-id="kebabMenuUI" icon-width="16" icon-height="16" icon-config="{}" svg-path="" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></mw-icon></div></div></div><div class="outputLayer selectedOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer activeOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer navigationFocusLayer doNotExport" aria-hidden="false" tabindex="-1" role="application" aria-label="variable output A = 2×2
1 2
2 1
" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div></div></div></div><div class="inlineWrapper outputs"><div class = 'S11'><span style="white-space: pre"><span >size(A)</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper disableDefaultGestureHandling embeddedOutputsVariableMatrixElement" uid="59DEC8C6" prevent-scroll="true" data-testid="output_2" data-width="1014" tabindex="-1" style="width: 1044px; white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="matrixElement veSpecifier saveLoad eoOutputContent" role="article" aria-roledescription="Use Browse Mode to explore " aria-description="variable output " style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="veVariableName variableNameElement double" style="width: 1014px; white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="headerElementClickToInteract" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><span style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;">ans = </span><span class="veVariableValueSummary veMetaSummary" style="white-space: normal; font-style: italic; color: rgb(97, 97, 97); font-size: 12px;">1×2</span></div></div><div class="valueContainer" data-layout="{"columnWidth":40,"totalColumns":2,"totalRows":1,"charsPerColumn":6}" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="variableValue" style="width: 82px; white-space: pre; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"> 2 2
</div><div class="horizontalEllipsis hide" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><mw-icon icon-id="meatballMenuUI" icon-width="16" icon-height="16" icon-config="{}" svg-path="" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></mw-icon></div><div class="verticalEllipsis hide" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><mw-icon icon-id="kebabMenuUI" icon-width="16" icon-height="16" icon-config="{}" svg-path="" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></mw-icon></div></div></div><div class="outputLayer selectedOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer activeOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer navigationFocusLayer doNotExport" aria-hidden="false" tabindex="-1" role="application" aria-label="variable output ans = 1×2
2 2
" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div></div></div></div><div class="inlineWrapper outputs"><div class = 'S11'><span style="white-space: pre"><span >A*A</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper disableDefaultGestureHandling embeddedOutputsVariableMatrixElement" uid="CE19CDEE" prevent-scroll="true" data-testid="output_3" data-width="1014" tabindex="-1" style="width: 1044px; white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="matrixElement veSpecifier saveLoad eoOutputContent" role="article" aria-roledescription="Use Browse Mode to explore " aria-description="variable output " style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="veVariableName variableNameElement double" style="width: 1014px; white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="headerElementClickToInteract" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><span style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;">ans = </span><span class="veVariableValueSummary veMetaSummary" style="white-space: normal; font-style: italic; color: rgb(97, 97, 97); font-size: 12px;">2×2</span></div></div><div class="valueContainer" data-layout="{"columnWidth":40,"totalColumns":2,"totalRows":2,"charsPerColumn":6}" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="variableValue" style="width: 82px; white-space: pre; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"> 5 4
4 5
</div><div class="horizontalEllipsis hide" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><mw-icon icon-id="meatballMenuUI" icon-width="16" icon-height="16" icon-config="{}" svg-path="" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></mw-icon></div><div class="verticalEllipsis hide" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><mw-icon icon-id="kebabMenuUI" icon-width="16" icon-height="16" icon-config="{}" svg-path="" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></mw-icon></div></div></div><div class="outputLayer selectedOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer activeOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer navigationFocusLayer doNotExport" aria-hidden="false" tabindex="-1" role="application" aria-label="variable output ans = 2×2
5 4
4 5
" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div></div></div></div><div class="inlineWrapper outputs"><div class = 'S11'><span style="white-space: pre"><span >A^2</span></span></div><div class = 'S8'><div class="inlineElement eoOutputWrapper disableDefaultGestureHandling embeddedOutputsVariableMatrixElement" uid="761D41D9" prevent-scroll="true" data-testid="output_4" data-width="1014" tabindex="-1" style="width: 1044px; white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="matrixElement veSpecifier saveLoad eoOutputContent" role="article" aria-roledescription="Use Browse Mode to explore " aria-description="variable output " style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="veVariableName variableNameElement double" style="width: 1014px; white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="headerElementClickToInteract" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><span style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;">ans = </span><span class="veVariableValueSummary veMetaSummary" style="white-space: normal; font-style: italic; color: rgb(97, 97, 97); font-size: 12px;">2×2</span></div></div><div class="valueContainer" data-layout="{"columnWidth":40,"totalColumns":2,"totalRows":2,"charsPerColumn":6}" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><div class="variableValue" style="width: 82px; white-space: pre; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"> 5 4
4 5
</div><div class="horizontalEllipsis hide" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><mw-icon icon-id="meatballMenuUI" icon-width="16" icon-height="16" icon-config="{}" svg-path="" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></mw-icon></div><div class="verticalEllipsis hide" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"><mw-icon icon-id="kebabMenuUI" icon-width="16" icon-height="16" icon-config="{}" svg-path="" style="white-space: nowrap; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></mw-icon></div></div></div><div class="outputLayer selectedOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer activeOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer scrollableOutputDecorationLayer doNotExport" aria-hidden="true" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div><div class="outputLayer navigationFocusLayer doNotExport" aria-hidden="false" tabindex="-1" role="application" aria-label="variable output ans = 2×2
5 4
4 5
" style="white-space: normal; font-style: normal; color: rgb(33, 33, 33); font-size: 12px;"></div></div></div></div></div><h3 class = 'S6'><span>Modo texto: insertando una imagen</span></h3><div class = 'S2'><img class = "imageNode" src = 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" width = "824" height = "276" alt = "" style = "vertical-align: baseline; width: 824px; height: 276px;"></img></div><h3 class = 'S6'><span>Modo texto: insertando una ecuación</span></h3><div class = 'S2'><span>a) Tipear </span><span style=' font-family: monospace;'>$\delta$ </span><span>genera </span><span style="font-family: STIXGeneral-webfont, serif; font-style: italic; font-weight: 400; color: rgb(33, 33, 33);">δ</span></div><div class = 'S2'><span>b) Tipear </span><span style=' font-family: monospace;'>$f(t)= \cos(\pi t)$</span><span> genera </span><span texencoding="f(t)=\cos(\pi t)" style="vertical-align:-5px"><img src="data:image/png;base64,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" width="89.5" height="18" /></span></div><div class = 'S2'><span>c) Tipear</span></div><div class = 'S2'><span>$</span></div><div class = 'S2'><span>\left[</span></div><div class = 'S2'><span>\begin{array}{ccc}</span></div><div class = 'S2'><span> 1 & 2 & 3 \\</span></div><div class = 'S2'><span> 1 & 2 & 3 </span></div><div class = 'S2'><span>\end{array}</span></div><div class = 'S2'><span>\right]</span></div><div class = 'S2'><span>$ </span></div><div class = 'S2'><span>genera </span></div><div class = 'S2'><span texencoding="\left[
\begin{array}{ccc}
1 & 2 & 3 \\
1 & 2 & 3
\end{array}
\right]" style="vertical-align:-15px"><img src="data:image/png;base64,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" width="65" height="42" /></span></div><div class = 'S2'><span>Averiguar sobre herramientas para LaTeX</span></div><ul class = 'S3'><li class = 'S4'><span>Overleaf: </span><a href = "https://www.overleaf.com/"><span>https://www.overleaf.com/</span></a><span> </span></li><li class = 'S4'><span>mathpix: </span><a href = "https://mathpix.com/"><span>https://mathpix.com/</span></a><span> </span></li><li class = 'S4'><span>chatGPT u otras IA's</span></li></ul><h2 class = 'S5'><span>Practicando MATLAB</span></h2><h3 class = 'S6'><span>Creación de funciones</span></h3><ul class = 'S3'><li class = 'S4'><span>Ver el script </span><span style=' font-family: monospace;'>compute_square.m</span><span> en la misma carpeta de trabajo</span></li></ul><div class="CodeBlock"><div class="inlineWrapper outputs"><div class = 'S7'><span style="white-space: pre"><span >A=10</span></span></div><div class = 'S8'><div class='variableElement' style='font-family: Menlo, Monaco, Consolas, "Courier New", monospace; font-size: 12px; '>A = 10</div></div></div><div class="inlineWrapper outputs"><div class = 'S11'><span style="white-space: pre"><span >A^2</span></span></div><div class = 'S8'><div class='variableElement' style='font-family: Menlo, Monaco, Consolas, "Courier New", monospace; font-size: 12px; '>ans = 100</div></div></div><div class="inlineWrapper outputs"><div class = 'S11'><span style="white-space: pre"><span >compute_square(A)</span></span></div><div class = 'S8'><div class='variableElement' style='font-family: Menlo, Monaco, Consolas, "Courier New", monospace; font-size: 12px; '>ans = 100</div></div></div></div><ul class = 'S3'><li class = 'S4'><span>Ver la función de usuario </span><span style=' font-family: monospace;'>error_rel</span><span> en el script Sesion1</span><span style=' font-family: monospace;'>_matlab.mlx</span></li></ul><div class="CodeBlock"><div class="inlineWrapper outputs"><div class = 'S7'><span style="white-space: pre"><span >A=1000 </span><span style="color: rgb(0, 128, 19);">% valor exacto</span></span></div><div class = 'S8'><div class='variableElement' style='font-family: Menlo, Monaco, Consolas, "Courier New", monospace; font-size: 12px; '>A = 1000</div></div></div><div class="inlineWrapper outputs"><div class = 'S11'><span style="white-space: pre"><span >a=1000.5 </span><span style="color: rgb(0, 128, 19);">% valor aproximado</span></span></div><div class = 'S8'><div class='variableElement' style='font-family: Menlo, Monaco, Consolas, "Courier New", monospace; font-size: 12px; '>a = 1.0005e+03</div></div></div><div class="inlineWrapper outputs"><div class = 'S11'><span style="white-space: pre"><span >error_rel(A,a)</span></span></div><div class = 'S8'><div class='variableElement' style='font-family: Menlo, Monaco, Consolas, "Courier New", monospace; font-size: 12px; '>ans = 5.0000e-04</div></div></div><div class="inlineWrapper outputs"><div class = 'S11'><span style="white-space: pre"><span >error_relativo = error_rel(A,a)</span></span></div><div class = 'S8'><div class='variableElement' style='font-family: Menlo, Monaco, Consolas, "Courier New", monospace; font-size: 12px; '>error_relativo = 5.0000e-04</div></div></div></div><h3 class = 'S6'><span>IA de MATLAB</span></h3><ul class = 'S3'><li class = 'S4'><a href = "https://la.mathworks.com/matlabcentral/playground/new"><span>https://la.mathworks.com/matlabcentral/playground/new</span></a><span> </span></li></ul><h3 class = 'S12'><span>Ejercicios:</span></h3><div class = 'S2'><span style=' font-weight: bold;'>Ejercicio 1</span><span>: Encuentre una expresión </span><span style=' font-style: italic;'>corta</span><span> en MATLAB para construir la matriz</span></div><div class = 'S2'><span texencoding="B = \left[
\begin{array}{ccccccc}
1 & 2 & 3 & 4 & 5 & 6 & 7 \\
9 & 7 & 5 & 3 & 1 & -1 & -3 \\
4 & 8 & 16 & 32 & 64 & 128 & 256
\end{array} \right]" style="vertical-align:-26px"><img 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" width="222.5" height="63" /></span></div><div class = 'S2'><span></span></div><div class = 'S2'><span style=' font-weight: bold;'>Ejercicio 2</span><span>: Dé una expresión en MATLAB que use solamente una multiplicación de matrices con </span><span style="font-family: STIXGeneral-webfont, serif; font-style: italic; font-weight: 400; color: rgb(33, 33, 33);">B</span><span> para obtener</span></div><div class = 'S2'><span>a) la suma de las columnas 5 y 7 de </span><span style="font-family: STIXGeneral-webfont, serif; font-style: italic; font-weight: 400; color: rgb(33, 33, 33);">B</span></div><div class = 'S2'><span>b) la última fila de </span><span style="font-family: STIXGeneral-webfont, serif; font-style: italic; font-weight: 400; color: rgb(33, 33, 33);">B</span></div><div class = 'S2'><span>c) una versión de </span><span style="font-family: STIXGeneral-webfont, serif; font-style: italic; font-weight: 400; color: rgb(33, 33, 33);">B</span><span> con las filas 2 y 3 intercambiadas</span></div><div class = 'S2'><span></span></div><div class = 'S2'><span style=' font-weight: bold;'>Ejercicio 3</span><span>: Dé una expresión en MATLAB que multiplique dos vectores para obtener</span></div><div class = 'S2'><span>a) la matriz </span><span texencoding="\left[
\begin{array}{ccccc}
1 & 2 & 3 & 4 & 5 \\
1 & 2 & 3 & 4 & 5 \\
1 & 2 & 3 & 4 & 5
\end{array}
\right]" style="vertical-align:-26px"><img src="data:image/png;base64,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" width="102.5" height="63" /></span></div><div class = 'S2'><span>b) la matriz </span><span texencoding="\left[
\begin{array}{ccc}
0 & 0 & 0 \\
1 & 1 & 1 \\
2 & 2 & 2 \\
3 & 3 & 3 \\
4 & 4 & 4
\end{array}
\right]" style="vertical-align:-48px"><img src="data:image/png;base64,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" width="63.5" height="107" /></span></div><div class = 'S2'><span></span></div><div class = 'S2'><span style=' font-weight: bold;'>Ejercicio 4</span><span>: Modifique la diapositiva 30 para producir tonos de frecuencia descendente en su lugar.</span></div><div class = 'S2'><span></span></div><div class = 'S2'><span style=' font-weight: bold;'>Ejercicio 5</span><span>:</span></div><div class = 'S2'><span>a) Escriba la función </span><span texencoding="g(t)" style="vertical-align:-5px"><img src="data:image/png;base64,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" width="25" height="18" /></span><span> que tiene la forma de una onda sinusoidal que aumenta linealmente en frecuencia desde 0 Hz en </span><span texencoding="t=0" style="vertical-align:-5px"><img src="data:image/png;base64,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" width="33.5" height="18" /></span><span> s hasta 5 Hz en </span><span texencoding="t=10" style="vertical-align:-5px"><img src="data:image/png;base64,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" width="41" height="18" /></span><span> s.</span></div><div class = 'S2'><span>b) Trace el gráfico de esta función usando el comando </span><span style=' font-family: monospace;'>plot</span><span> de MATLAB.</span></div><div class = 'S2'><span></span></div><div class = 'S2'><span>Funciones de usuario:</span></div><div class="CodeBlock"><div class="inlineWrapper"><div class = 'S13'><span style="white-space: pre"><span style="color: rgb(14, 0, 255);">function </span><span >delta=error_rel(valor_exacto,valor_aprox)</span></span></div></div><div class="inlineWrapper"><div class = 'S14'><span style="white-space: pre"><span style="color: rgb(0, 128, 19);">% Doc de la función (ejercicio)</span></span></div></div><div class="inlineWrapper"><div class = 'S14'> </div></div><div class="inlineWrapper"><div class = 'S14'><span style="white-space: pre"><span style="color: rgb(0, 128, 19);">% el símbolo ; es para que no imprima en consola</span></span></div></div><div class="inlineWrapper"><div class = 'S14'><span style="white-space: pre"><span >delta = abs(valor_exacto-valor_aprox) / abs(valor_exacto);</span></span></div></div><div class="inlineWrapper"><div class = 'S14'><span style="white-space: pre"><span style="color: rgb(14, 0, 255);">end</span></span></div></div><div class="inlineWrapper"><div class = 'S14'> </div></div><div class="inlineWrapper"><div class = 'S14'><span style="white-space: pre"><span style="color: rgb(14, 0, 255);">function </span><span >output_arg =compute_square( input_arg )</span></span></div></div><div class="inlineWrapper"><div class = 'S14'><span style="white-space: pre"><span >output_arg = input_arg .^ 2;</span></span></div></div><div class="inlineWrapper"><div class = 'S15'><span style="white-space: pre"><span style="color: rgb(14, 0, 255);">end</span></span></div></div></div>
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<!--
##### SOURCE BEGIN #####
%% Sesion 1: Introducción a MATLAB
%% Trabajando con MATLAB
% En la práctica uno debe conocer
%%
% * Entorno de trabajo: ventana de comandos, workspace, barras de herramientas
% * Editores de scripts: scripts, funciones, livescripts
% * Fundamentos básicos
% * IA de MATLAB
% * Atajos de teclado
%% Livescripts en MATLAB
% Características:
%%
% * Extensión .mlx (por ejemplo, Sesion|1_matlab.mlx|)
% * Integra texto (Markdown) y comandos de MATLAB
% * Organización por secciones
% * Manejo de funciones de usuario en el mismo documento
% Atajos de teclado
%%
% * |Ctrl +|: Zoom
% * |Ctrl + N|: Nuevo script
% * |Ctrl + S|: Guardar script
% * |Ctrl + Enter|: Ejecutar una sección
% Modo MATLAB
a=1000
A=[1 2;
2 1]
size(A)
A*A
A^2
% Modo texto: insertando una imagen
%
% Modo texto: insertando una ecuación
% a) Tipear |$\delta$| genera $\delta$
%
% b) Tipear |$f(t)= \cos(\pi t)$| genera $f(t)=\cos(\pi t)$
%
% c) Tipear
%
% $
%
% \left[
%
% \begin{array}{ccc}
%
% 1 & 2 & 3 \\
%
% 1 & 2 & 3
%
% \end{array}
%
% \right]
%
% $
%
% genera
%
% $$\left[\begin{array}{ccc} 1 & 2 & 3 \\ 1 & 2 & 3 \end{array}\right]$$
%
% Averiguar sobre herramientas para LaTeX
%%
% * Overleaf: <https://www.overleaf.com/ https://www.overleaf.com/>
% * mathpix: <https://mathpix.com/ https://mathpix.com/>
% * chatGPT u otras IA's
%% Practicando MATLAB
% Creación de funciones
%%
% * Ver el script |compute_square.m| en la misma carpeta de trabajo
A=10
A^2
compute_square(A)
%%
% * Ver la función de usuario |error_rel| en el script Sesion1|_matlab.mlx|
A=1000 % valor exacto
a=1000.5 % valor aproximado
error_rel(A,a)
error_relativo = error_rel(A,a)
% IA de MATLAB
%%
% * <https://la.mathworks.com/matlabcentral/playground/new https://la.mathworks.com/matlabcentral/playground/new>
% Ejercicios:
% *Ejercicio 1*: Encuentre una expresión _corta_ en MATLAB para construir la
% matriz
%
% $$B = \left[\begin{array}{ccccccc}1 & 2 & 3 & 4 & 5 & 6 & 7 \\9 & 7 & 5 &
% 3 & 1 & -1 & -3 \\4 & 8 & 16 & 32 & 64 & 128 & 256\end{array} \right]$$
%
%
%
% *Ejercicio 2*: Dé una expresión en MATLAB que use solamente una multiplicación
% de matrices con $B$ para obtener
%
% a) la suma de las columnas 5 y 7 de $B$
%
% b) la última fila de $B$
%
% c) una versión de $B$ con las filas 2 y 3 intercambiadas
%
%
%
% *Ejercicio 3*: Dé una expresión en MATLAB que multiplique dos vectores para
% obtener
%
% a) la matriz $\left[\begin{array}{ccccc} 1 & 2 & 3 & 4 & 5 \\ 1 & 2
% & 3 & 4 & 5 \\ 1 & 2 & 3 & 4 & 5\end{array}\right]$
%
% b) la matriz $\left[\begin{array}{ccc} 0 & 0 & 0 \\ 1 & 1 & 1 \\
% 2 & 2 & 2 \\ 3 & 3 & 3 \\ 4 & 4 & 4\end{array}\right]$
%
%
%
% *Ejercicio 4*: Modifique la diapositiva 30 para producir tonos de frecuencia
% descendente en su lugar.
%
%
%
% *Ejercicio 5*:
%
% a) Escriba la función $g(t)$ que tiene la forma de una onda sinusoidal que
% aumenta linealmente en frecuencia desde 0 Hz en $t=0$ s hasta 5 Hz en $t=10$
% s.
%
% b) Trace el gráfico de esta función usando el comando |plot| de MATLAB.
%
%
%%
% Funciones de usuario:
function delta=error_rel(valor_exacto,valor_aprox)
% Doc de la función (ejercicio)
% el símbolo ; es para que no imprima en consola
delta = abs(valor_exacto-valor_aprox) / abs(valor_exacto);
end
function output_arg =compute_square( input_arg )
output_arg = input_arg .^ 2;
end
##### SOURCE END #####
-->
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