update

README.md

@@ -49,7 +49,7 @@ Jupiter notebook (with matlab or octave kernel)
 
 ### Note on Homework and online forms
 
-The Homeworks are graded based upon effort and completeness. The forms are not graded at
+The Homeworks are graded based upon effort, correctness, and completeness. The forms are not graded at
 all, if they are completed you get credit. It is *your* responsibility to make sure your
 answers are correct. Use the homeworks and forms as a study guide for the exams. In
 general, I will not post homework solutions. 

lecture_17/.ipynb_checkpoints/lecture_17-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

lecture_17/gen_examples.m

@@ -0,0 +1,5 @@
+x1=linspace(0,1,1000)';
+y1=0*x1+0.1*rand(length(x1),1);
+
+x2=linspace(0,1,10)';
+y2=1*x2;

lecture_17/sin_data.csv

@@ -0,0 +1,2 @@
+ 0.00000000e+00 1.26933037e-01 2.53866073e-01 3.80799110e-01 5.07732146e-01 6.34665183e-01 7.61598219e-01 8.88531256e-01 1.01546429e+00 1.14239733e+00 1.26933037e+00 1.39626340e+00 1.52319644e+00 1.65012947e+00 1.77706251e+00 1.90399555e+00 2.03092858e+00 2.15786162e+00 2.28479466e+00 2.41172769e+00 2.53866073e+00 2.66559377e+00 2.79252680e+00 2.91945984e+00 3.04639288e+00 3.17332591e+00 3.30025895e+00 3.42719199e+00 3.55412502e+00 3.68105806e+00 3.80799110e+00 3.93492413e+00 4.06185717e+00 4.18879020e+00 4.31572324e+00 4.44265628e+00 4.56958931e+00 4.69652235e+00 4.82345539e+00 4.95038842e+00 5.07732146e+00 5.20425450e+00 5.33118753e+00 5.45812057e+00 5.58505361e+00 5.71198664e+00 5.83891968e+00 5.96585272e+00 6.09278575e+00 6.21971879e+00 6.34665183e+00 6.47358486e+00 6.60051790e+00 6.72745093e+00 6.85438397e+00 6.98131701e+00 7.10825004e+00 7.23518308e+00 7.36211612e+00 7.48904915e+00 7.61598219e+00 7.74291523e+00 7.86984826e+00 7.99678130e+00 8.12371434e+00 8.25064737e+00 8.37758041e+00 8.50451345e+00 8.63144648e+00 8.75837952e+00 8.88531256e+00 9.01224559e+00 9.13917863e+00 9.26611167e+00 9.39304470e+00 9.51997774e+00 9.64691077e+00 9.77384381e+00 9.90077685e+00 1.00277099e+01 1.01546429e+01 1.02815760e+01 1.04085090e+01 1.05354420e+01 1.06623751e+01 1.07893081e+01 1.09162411e+01 1.10431742e+01 1.11701072e+01 1.12970402e+01 1.14239733e+01 1.15509063e+01 1.16778394e+01 1.18047724e+01 1.19317054e+01 1.20586385e+01 1.21855715e+01 1.23125045e+01 1.24394376e+01 1.25663706e+01
+ 9.15756288e-02 3.39393873e-01 6.28875306e-01 7.67713096e-01 1.05094584e+00 9.70887288e-01 9.84265740e-01 1.02589034e+00 8.53218113e-01 6.90197665e-01 5.51277193e-01 5.01564914e-01 5.25455797e-01 5.87052838e-01 5.41394658e-01 7.12365594e-01 8.14839678e-01 9.80181855e-01 9.44430709e-01 1.06728057e+00 1.15166322e+00 8.99464065e-01 7.77225453e-01 5.92618124e-01 3.08822183e-01 -1.07884730e-03 -3.46563271e-01 -5.64836023e-01 -8.11931510e-01 -1.05925186e+00 -1.13323611e+00 -1.11986890e+00 -8.88336727e-01 -9.54113139e-01 -6.81378679e-01 -6.02369117e-01 -4.78684439e-01 -5.88160325e-01 -4.93580777e-01 -5.68747320e-01 -7.51641934e-01 -8.14672884e-01 -9.53191554e-01 -9.55337518e-01 -9.85995556e-01 -9.63373597e-01 -1.01511061e+00 -7.56467517e-01 -4.17379564e-01 -1.22340361e-01 2.16273929e-01 5.16909714e-01 7.77031694e-01 1.00653798e+00 9.35718089e-01 1.00660116e+00 1.11177057e+00 9.85485116e-01 8.54344900e-01 6.26444042e-01 6.28124048e-01 4.27764254e-01 5.93991751e-01 4.79248018e-01 7.17522492e-01 7.35927848e-01 9.08802925e-01 9.38646871e-01 1.13125860e+00 1.07247935e+00 1.05198782e+00 9.41647332e-01 6.98801244e-01 4.03193543e-01 1.37009682e-01 -1.43203880e-01 -4.64369445e-01 -6.94978252e-01 -1.03483196e+00 -1.10261288e+00 -1.12892727e+00 -1.03902484e+00 -8.53573083e-01 -7.01815315e-01 -6.84745997e-01 -6.14189417e-01 -4.70090797e-01 -5.95052432e-01 -5.96497000e-01 -5.66861911e-01 -7.18239679e-01 -9.52873043e-01 -9.37512847e-01 -1.15782985e+00 -1.03858206e+00 -1.03182712e+00 -8.45121554e-01 -5.61821980e-01 -2.83427014e-01 -8.27056140e-02

lecture_17/xy_data.csv

@@ -0,0 +1,2 @@
+ 0.00000000e+00 2.00000000e+00 4.00000000e+00 6.00000000e+00 8.00000000e+00 1.00000000e+01 1.20000000e+01 1.40000000e+01 1.60000000e+01 1.80000000e+01 2.00000000e+01
+ 2.15011412e+01 2.08415256e+01 2.31920098e+01 2.26949773e+01 3.02668745e+01 4.01107461e+01 4.33054255e+01 5.47873036e+01 7.08844291e+01 8.94836828e+01 9.72813533e+01

lecture_18/.ipynb_checkpoints/lecture_18-checkpoint.ipynb

@@ -0,0 +1,6 @@
+{
+ "cells": [],
+ "metadata": {},
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

lecture_18/Newtint.m

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+function yint = Newtint(x,y,xx)
+% Newtint: Newton interpolating polynomial
+% yint = Newtint(x,y,xx): Uses an (n - 1)-order Newton
+%   interpolating polynomial based on n data points (x, y)
+%   to determine a value of the dependent variable (yint)
+%   at a given value of the independent variable, xx.
+% input:
+%   x = independent variable
+%   y = dependent variable
+%   xx = value of independent variable at which
+%        interpolation is calculated
+% output:
+%   yint = interpolated value of dependent variable
+
+% compute the finite divided differences in the form of a
+% difference table
+n = length(x);
+if length(y)~=n, error('x and y must be same length'); end
+b = zeros(n,n);
+% assign dependent variables to the first column of b.
+b(:,1) = y(:); % the (:) ensures that y is a column vector.
+for j = 2:n
+  for i = 1:n-j+1
+    b(i,j) = (b(i+1,j-1)-b(i,j-1))/(x(i+j-1)-x(i));
+  end
+end
+%b
+% use the finite divided differences to interpolate
+xt = 1;
+yint = b(1,1);
+for j = 1:n-1
+  xt = xt*(xx-x(j));
+  yint = yint+b(1,j+1)*xt;
+end

lecture_18/challenger_oring.csv

@@ -0,0 +1,24 @@
+Flight#,Temp,O-Ring Problem
+1,53,1
+2,57,1
+3,58,1
+4,63,1
+5,66,0
+6,66.8,0
+7,67,0
+8,67.2,0
+9,68,0
+10,69,0
+11,69.8,1
+12,69.8,0
+13,70.2,1
+14,70.2,0
+15,72,0
+16,73,0
+17,75,0
+18,75,1
+19,75.8,0
+20,76.2,0
+21,78,0
+22,79,0
+23,81,0