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gibson:teaching:spring-2016:math445:lab7

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gibson:teaching:spring-2016:math445:lab7 [2016/03/07 10:11]
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gibson:teaching:spring-2016:math445:lab7 [2016/03/12 06:39] (current)
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   * learn the most widely-used algorithm for solving nonlinear equations   * learn the most widely-used algorithm for solving nonlinear equations
   * solve a practical, real-world problem involving a nonlinear equation   * solve a practical, real-world problem involving a nonlinear equation
 +  * learn about anonymous functions
   * gain more experience in programming with ''​for''​ loops and ''​if''​ statements   * gain more experience in programming with ''​for''​ loops and ''​if''​ statements
  
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 ''​xguess''​ using the Newton search algorithm. ​ ''​xguess''​ using the Newton search algorithm. ​
  
-  -  ​Use a ''​for''​ loop to perform the Newton-search iteration $x_{n+1} = x_n + \Delta x$. Take up to ten Newton ​steps+Your Newton search algorithm should 
-  ​-  ​Use an ''​if''​ statement inside the ''​for''​ loop to test if either $|f(x)| < \epsilon$ ​ + 
-or $|\Delta x| < \epsilon$ for some specified tolerance $\epsilon$. If either ​condition ​is true,  +1. Use a ''​for''​ loop to perform the Newton-search iteration $x_{n+1} = x_n + \Delta x$. Take up to ten Newton-search iterations
-use a ''​break''​ statement to terminate the iteration and return from the function. For our  + 
-purposes $\epsilon = 10^{-7}$ is a decent choice. ​+2. Use an ''​if''​ statement inside the ''​for''​ loop to test if either $|f(x)| < \epsilon$ or $|\Delta x| < \epsilon$ for some specified tolerance $\epsilon$.  
 + 
 +3. If either ​of those conditions ​is true, use a ''​break''​ statement to terminate the iteration and return from the function. For our purposes $\epsilon = 10^{-7}$ is a decent choice. ​
  
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 where where
- * $T_s$ is the constant surface temperature during the cold spell, 
- * $T_i$ is the initial soil temperature before the cold spell started, 
- * $\alpha$ is the thermal conductivity of the soil, and  
- * $\erf$ is the {\it error function}, computed by the built-in Matlab function ''​erf''​. 
  
-If $x$ is in meters and $t$ is in seconds, the $\alpha = 0.138 \times 10^{-6} \; m^2/s$. +  * $T_s$ is the constant surface temperature during the cold spell, 
-Let $T_i= 20\,C$ and $T_S = -15\,C$, and recall that water freezes at $T = 0\,​C$. ​+  * $T_i$ is the initial soil temperature before the cold spell started, 
 +  * $\alpha$ is the thermal conductivity of the soil, and  
 +  * $\erf$ is the //error function//, computed by the built-in Matlab function **erf**. 
 + 
 +If $x$ is in meters and $t$ is in seconds, the thermal conductivity of soil is  
 +$\alpha = 0.138 \times 10^{-6} \; m^2/s$. 
 +Let $T_i= 20\,C$ and $T_S = -15\,C$, and recall that water freezes at $T(x,t) = 0\,​C$. ​
 Use your Newton-search algorithm to determine how deep a water main must be  Use your Newton-search algorithm to determine how deep a water main must be 
 buried so that it will not freeze until at least 60 days' exposure to these  buried so that it will not freeze until at least 60 days' exposure to these 
 conditions. ​ conditions. ​
 +
  
gibson/teaching/spring-2016/math445/lab7.1457374311.txt.gz · Last modified: 2016/03/07 10:11 by gibson