edited atom

README.md

@@ -4,8 +4,7 @@ ME 3255 Homework 5
 # Problem 2
 
 ##Least Squares Function
-``
-`
+```
 function [a,fx,r2] = least_squares_2(Z,y)
 %least squares solution for input matrix Z
 %and measurements y
@@ -20,15 +19,12 @@ St=std(y);
 Sr=std(e);
 r2 = 1-Sr/St;
 end
-```
-
-```
 
 set defaults
-
+```
 ## Part A
 ```
-xa=[1 2 3 4 5]';
+xa=[1 2 3 4 5]'
 ya=[2.2 2.8 3.6 4.5 5.5]';
 
 Z=[ones(size(xa)) xa xa.^-1];
@@ -143,7 +139,7 @@ Part B
 User number 33 was the most precise with a standard deviation of 3.4073
 ```
 # Problem 4
-
+```
 Part A
 
 ```matlab
@@ -166,12 +162,15 @@ x2 = std(P_cr)
 P_test=1000*9.81/100;
 sum(P_cr<P_test)
 end
+```
+
 ```
 ```matlab
 Mean Buckle Load = 164.4154 N
 Standard Deviation = 63.6238 N
 ```
 Part B
+```
 ```matlab
 function [mean_buckle_load,std_buckle_load]=buckle_monte_carlo_2(E,r_mean,r_std,P_cr);
 
@@ -188,12 +187,14 @@ mean(L)
 end
 ```
 Output
+```
 ```matlab
 L = 5.0108 m
 ```
 #Problem 5
 
 Part A
+```
 ```matlab
 function [Cd_out] = sphere_drag(Re_in,spline_type)
 data = [2 	0.52
@@ -214,20 +215,25 @@ rho=1.3;V=linspace(4,40);D=23.5e-2;mu=1.78e-5;
 Re=rho*V*D/mu*1e-4;
 end
 ```
-
+```
 ```matlab
+
 Cd_out1 = sphere_drag(150,'linear')
 Cd_out2 = sphere_drag(150,'spline')
 Cd_out3 = sphere_drag(150,'pchip')
 ```
 Output
+
+```
 ```matlab
+
 Linear = 0.1400
 Spline = 0.1428
 Pchip = 0.1447
 ```
 
 Part B Code
+```
 ```matlab
 function [Cd_out] = sphere_drag(Re_in,spline_type)
 data = [2 	0.52
@@ -250,6 +256,7 @@ Re=rho*V*D/mu*1e-4;
 end
 ```
 Part B Script
+```
 ```matlab
 Re=linspace(data(1,1),data(end,1),1000);
 rho=1.3;V=linspace(4,40);D=23.5e-2;mu=1.78e-5;
@@ -270,6 +277,7 @@ saveas(a,'figure_14.png')
 
 
 Script
+```
 ```matlab
 Cd_out1 = sphere_drag(10,'linear')
 Cd_out2 = sphere_drag(10,'pchip')
@@ -284,12 +292,15 @@ legend('data','linear','pchip','spline')
 # Problem 6
 
 ##Analytical Solution
+```
 ```matlab
+
 fun = @(x) (1/6).*(x).^3+(1/2).*(x).^2+(x);
 q = integral(fun,2,3)
 ```
 
 ##Gauss Quadtrature
+```
 ```matlab
 %One Point
 x = [0];