day1/session4.tex
author Santosh G. Vattam <vattam.santosh@gmail.com>
Fri, 06 Nov 2009 18:40:13 +0530
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%Tutorial slides on Python.
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%
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% Author: FOSSEE 
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% Copyright (c) 2009, FOSSEE, IIT Bombay
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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\documentclass[14pt,compress]{beamer}
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%\documentclass[draft]{beamer}
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%\documentclass[compress,handout]{beamer}
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%\usepackage{pgfpages} 
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%\pgfpagesuselayout{2 on 1}[a4paper,border shrink=5mm]
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% Modified from: generic-ornate-15min-45min.de.tex
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\mode<presentation>
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{
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  \usetheme{Warsaw}
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  \useoutertheme{infolines}
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  \setbeamercovered{transparent}
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}
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\usepackage[english]{babel}
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\usepackage[latin1]{inputenc}
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%\usepackage{times}
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\usepackage[T1]{fontenc}
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\usepackage{amsmath}
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% Taken from Fernando's slides.
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\usepackage{ae,aecompl}
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\usepackage{mathpazo,courier,euler}
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\usepackage[scaled=.95]{helvet}
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\definecolor{darkgreen}{rgb}{0,0.5,0}
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\usepackage{listings}
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\lstset{language=Python,
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    basicstyle=\ttfamily\bfseries,
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    commentstyle=\color{red}\itshape,
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  stringstyle=\color{darkgreen},
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  showstringspaces=false,
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  keywordstyle=\color{blue}\bfseries}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% Macros
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\setbeamercolor{emphbar}{bg=blue!20, fg=black}
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\newcommand{\emphbar}[1]
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{\begin{beamercolorbox}[rounded=true]{emphbar} 
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      {#1}
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 \end{beamercolorbox}
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}
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\newcounter{time}
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\setcounter{time}{0}
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\newcommand{\inctime}[1]{\addtocounter{time}{#1}{\tiny \thetime\ m}}
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\newcommand{\typ}[1]{\lstinline{#1}}
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\newcommand{\kwrd}[1]{ \texttt{\textbf{\color{blue}{#1}}}  }
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%%% This is from Fernando's setup.
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% \usepackage{color}
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% \definecolor{orange}{cmyk}{0,0.4,0.8,0.2}
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% % Use and configure listings package for nicely formatted code
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% \usepackage{listings}
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% \lstset{
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%    language=Python,
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%    basicstyle=\small\ttfamily,
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%    commentstyle=\ttfamily\color{blue},
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%    stringstyle=\ttfamily\color{orange},
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%    showstringspaces=false,
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%    breaklines=true,
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%    postbreak = \space\dots
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% }
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% Title page
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\title[Matrices \& Curve Fitting]{Python for Science and Engg: Matrices \& Least Square Fit}
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\author[FOSSEE] {FOSSEE}
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\institute[IIT Bombay] {Department of Aerospace Engineering\\IIT Bombay}
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\date[] {7 November, 2009\\Day 1, Session 4}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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%\pgfdeclareimage[height=0.75cm]{iitmlogo}{iitmlogo}
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%\logo{\pgfuseimage{iitmlogo}}
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%% Delete this, if you do not want the table of contents to pop up at
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%% the beginning of each subsection:
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\AtBeginSubsection[]
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{
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  \begin{frame}<beamer>
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    \frametitle{Outline}
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    \tableofcontents[currentsection,currentsubsection]
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  \end{frame}
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}
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\AtBeginSection[]
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{
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  \begin{frame}<beamer>
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    \frametitle{Outline}
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    \tableofcontents[currentsection,currentsubsection]
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  \end{frame}
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}
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% If you wish to uncover everything in a step-wise fashion, uncomment
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% the following command: 
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%\beamerdefaultoverlayspecification{<+->}
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%\includeonlyframes{current,current1,current2,current3,current4,current5,current6}
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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% DOCUMENT STARTS
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\begin{document}
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\begin{frame}
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  \titlepage
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\end{frame}
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\begin{frame}
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  \frametitle{Outline}
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  \tableofcontents
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%  \pausesections
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\end{frame}
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\section{Matrices}
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\begin{frame}
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\frametitle{Matrices: Introduction}
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\alert{All matrix operations are done using \kwrd{arrays}}
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\end{frame}
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\begin{frame}[fragile]
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\frametitle{Matrices: Initializing}
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\begin{lstlisting}
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In []: A = array([[ 1,  1,  2, -1],
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                  [ 2,  5, -1, -9],
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                  [ 2,  1, -1,  3],
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                  [ 1, -3,  2,  7]])
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In []: A
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Out[]: 
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array([[ 1,  1,  2, -1],
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       [ 2,  5, -1, -9],
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       [ 2,  1, -1,  3],
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       [ 1, -3,  2,  7]])
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\end{lstlisting}
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\end{frame}
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\begin{frame}[fragile]
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  \frametitle{Accessing elements}
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  \begin{lstlisting}
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In []: C = array([[1,1,2],
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                  [2,4,1],
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                  [-1,3,7]])
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In []: C[1][2]
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Out[]: 1
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In []: C[1,2]
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Out[]: 1
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In []: C[1]
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Out[]: array([2, 4, 1])
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  \end{lstlisting}
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\end{frame}
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\begin{frame}[fragile]
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  \frametitle{Changing elements}
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  \begin{small}
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  \begin{lstlisting}
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In []: C[1,1] = -2
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In []: C
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Out[]: 
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array([[ 1,  1,  2],
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       [ 2, -2,  1],
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       [-1,  3,  7]])
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In []: C[1] = [0,0,0]
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In []: C
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Out[]: 
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array([[ 1,  1,  2],
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       [ 0,  0,  0],
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       [-1,  3,  7]])
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  \end{lstlisting}
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  \end{small}
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How to change one \alert{column}?
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\end{frame}
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\begin{frame}[fragile]
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  \frametitle{Slicing}
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\begin{small}
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  \begin{lstlisting}
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In []: C[:,1]
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Out[]: array([1, 0, 3])
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In []: C[1,:]
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Out[]: array([0, 0, 0])
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In []: C[0:2,:]
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Out[]: 
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array([[1, 1, 2],
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       [0, 0, 0]])
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In []: C[1:3,:]
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Out[]: 
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array([[ 0,  0,  0],
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       [-1,  3,  7]])
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  \end{lstlisting}
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\end{small}
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\end{frame}
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\begin{frame}[fragile]
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  \frametitle{Slicing \ldots}
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\begin{small}
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  \begin{lstlisting}
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In []: C[:2,:]
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Out[]: 
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array([[1, 1, 2],
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       [0, 0, 0]])
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In []: C[1:,:]
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Out[]: 
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array([[ 0,  0,  0],
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       [-1,  3,  7]])
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In []: C[1:,:2]
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Out[]: 
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array([[ 0,  0],
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       [-1,  3]])
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  \end{lstlisting}
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\end{small}
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\end{frame}
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\begin{frame}[fragile]
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  \frametitle{Striding}
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  \begin{small}
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  \begin{lstlisting}
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In []: C[::2,:]
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Out[]: 
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array([[ 1,  1,  2],
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       [-1,  3,  7]])
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In []: C[:,::2]
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Out[]: 
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xarray([[ 1,  2],
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       [ 0,  0],
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       [-1,  7]])
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In []: C[::2,::2]
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Out[]: 
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array([[ 1,  2],
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       [-1,  7]])
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  \end{lstlisting}
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  \end{small}
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\end{frame}
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\begin{frame}[fragile]
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  \frametitle{Slicing \& Striding Exercises}
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\begin{small}
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  \begin{lstlisting}
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In []: A = imread('lena.png')
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In []: imshow(A)
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Out[]: <matplotlib.image.AxesImage object at 0xa0384cc>
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In []: A.shape 
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Out[]: (512, 512, 4)
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  \end{lstlisting}
282
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\end{small}
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  \begin{itemize}
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  \item Crop the image to get the top-left quarter
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  \item Crop the image to get only the face
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  \item Resize image to half by dropping alternate pixels
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  \end{itemize}
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\end{frame}
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282
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\begin{frame}[fragile]
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e072cadee389 Minor edits to session4.
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  \frametitle{Solutions}
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\begin{small}
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  \begin{lstlisting}
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In []: imshow(A[:256,:256])
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Out[]: <matplotlib.image.AxesImage object at 0xb6f658c>
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In []: imshow(A[200:400,200:400])
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Out[]: <matplotlib.image.AxesImage object at 0xb757c2c>
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In []: imshow(A[::2,::2])
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Out[]: <matplotlib.image.AxesImage object at 0xb765c8c>
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  \end{lstlisting}
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\end{small}
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\end{frame}
214
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\begin{frame}[fragile]
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\frametitle{Transpose of a Matrix}
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\begin{lstlisting}
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In []: A.T
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Out[]:
274
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array([[ 1,  2,  2,  1],
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       [ 1,  5,  1, -3],
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       [ 2, -1, -1,  2],
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       [-1, -9,  3,  7]])
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\end{lstlisting}
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\end{frame}
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\begin{frame}[fragile]
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  \frametitle{Sum of all elements}
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  \begin{lstlisting}
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In []: sum(A)
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Out[]: 12
214
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  \end{lstlisting}
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\end{frame}
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\begin{frame}[fragile]
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  \frametitle{Matrix Addition}
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  \begin{lstlisting}
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In []: B = array([[3,2,-1,5],
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                  [2,-2,4,9],
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                  [-1,0.5,-1,-7],
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                  [9,-5,7,3]])
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In []: A + B
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Out[]: 
274
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array([[  4. ,   3. ,   1. ,   4. ],
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       [  4. ,   3. ,   3. ,   0. ],
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       [  1. ,   1.5,  -2. ,  -4. ],
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       [ 10. ,  -8. ,   9. ,  10. ]])
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  \end{lstlisting}
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\end{frame}
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\begin{frame}[fragile]
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\frametitle{Elementwise Multiplication}
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\begin{lstlisting}
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In []: A*B
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Out[]: 
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array([[  3. ,   2. ,  -2. ,  -5. ],
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       [  4. , -10. ,  -4. , -81. ],
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       [ -2. ,   0.5,   1. , -21. ],
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       [  9. ,  15. ,  14. ,  21. ]])
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   340
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\end{lstlisting}
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\end{frame}
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   343
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\begin{frame}[fragile]
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\frametitle{Matrix Multiplication}
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\begin{lstlisting}
274
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In []: dot(A,B)
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Out[]: 
274
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array([[ -6. ,   6. ,  -6. ,  -3. ],
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       [-64. ,  38.5, -44. ,  35. ],
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       [ 36. , -13.5,  24. ,  35. ],
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       [ 58. , -26. ,  34. , -15. ]])
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\end{lstlisting}
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\end{frame}
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   355
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\begin{frame}[fragile]
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\frametitle{Inverse of a Matrix}
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\begin{lstlisting}
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In []: inv(A)
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\end{lstlisting}
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\begin{small}
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\begin{lstlisting}
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   363
Out[]: 
274
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array([[-0.5 ,  0.55, -0.15,  0.7 ],
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       [ 0.75, -0.5 ,  0.5 , -0.75],
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       [ 0.5 , -0.15, -0.05, -0.1 ],
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       [ 0.25, -0.25,  0.25, -0.25]])
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\end{lstlisting}
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\end{small}
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\end{frame}
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\begin{frame}[fragile]
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\frametitle{Determinant}
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\begin{lstlisting}
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In []: det(A)
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   376
Out[]: 80.0
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\end{lstlisting}
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\end{frame}
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263
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%%use S=array(X,Y)
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\begin{frame}[fragile]
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\frametitle{Eigenvalues and Eigen Vectors}
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   383
\begin{small}
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\begin{lstlisting}
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   385
In []: E = array([[3,2,4],[2,0,2],[4,2,3]])
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diff changeset
   386
274
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   387
In []: eig(E)
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   388
Out[]: 
253
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(array([-1.,  8., -1.]),
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   390
 array([[-0.74535599,  0.66666667, -0.1931126 ],
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        [ 0.2981424 ,  0.33333333, -0.78664085],
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   392
        [ 0.59628479,  0.66666667,  0.58643303]]))
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   393
274
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In []: eigvals(E)
253
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Out[]: array([-1.,  8., -1.])
118
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\end{lstlisting}
131
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   397
\end{small}
118
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   398
\end{frame}
127
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   399
272
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%% \begin{frame}[fragile]
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%% \frametitle{Computing Norms}
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   402
%% \begin{lstlisting}
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%% In []: norm(E)
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%% Out[]: 8.1240384046359608
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%% \end{lstlisting}
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%% \end{frame}
214
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   407
272
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%% \begin{frame}[fragile]
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%%   \frametitle{Singular Value Decomposition}
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   410
%%   \begin{small}
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%%   \begin{lstlisting}
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%% In []: svd(E)
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%% Out[]: 
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%% (array(
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%% [[ -6.66666667e-01,  -1.23702565e-16,   7.45355992e-01],
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%%  [ -3.33333333e-01,  -8.94427191e-01,  -2.98142397e-01],
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   417
%%  [ -6.66666667e-01,   4.47213595e-01,  -5.96284794e-01]]),
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   418
%%  array([ 8.,  1.,  1.]),
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%%  array([[-0.66666667, -0.33333333, -0.66666667],
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%%         [-0.        ,  0.89442719, -0.4472136 ],
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%%         [-0.74535599,  0.2981424 ,  0.59628479]]))
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%%   \end{lstlisting}
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%%   \end{small}
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%% \inctime{15}
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%% \end{frame}
214
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   426
268
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   427
\section{Least Squares Fit}
214
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   428
\begin{frame}[fragile]
272
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   429
\frametitle{$L$ vs. $T^2$}
268
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   430
\vspace{-0.15in}
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   431
\begin{figure}
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   432
\includegraphics[width=4in]{data/L-Tsq-points}
268
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   433
\end{figure}
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   434
\end{frame}
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   435
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   436
\begin{frame}[fragile]
272
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   437
\frametitle{$L$ vs. $T^2$}
268
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   438
\vspace{-0.15in}
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   439
\begin{figure}
282
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   440
\includegraphics[width=4in]{data/L-Tsq-Line}
268
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   441
\end{figure}
232
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   442
\end{frame}
127
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   443
232
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   444
\begin{frame}[fragile]
268
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   445
\frametitle{Least Squares Fit}
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   446
\vspace{-0.15in}
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   447
\begin{figure}
282
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   448
\includegraphics[width=4in]{data/least-sq-fit}
268
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   449
\end{figure}
232
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   450
\end{frame}
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   451
268
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   452
\begin{frame}
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   453
\frametitle{Least Square Fit Curve}
274
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diff changeset
   454
\begin{itemize}
268
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diff changeset
   455
\item $T^2$ and $L$ have a linear relationship
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diff changeset
   456
\item Hence, Least Square Fit Curve is a line
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diff changeset
   457
\item we shall use the \typ{lstsq} function
274
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diff changeset
   458
\end{itemize}
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diff changeset
   459
\end{frame}
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diff changeset
   460
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diff changeset
   461
\begin{frame}[fragile]
268
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   462
\frametitle{\typ{lstsq}}
274
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diff changeset
   463
\begin{itemize}
268
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   464
\item We need to fit a line through points for the equation $T^2 = m \cdot L+c$
285
e072cadee389 Minor edits to session4.
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   465
\item In matrix form, the equation can be represented as $T^2 = A \cdot p$, where A is   
268
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   466
  $\begin{bmatrix}
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   467
  L_1 & 1 \\
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   468
  L_2 & 1 \\
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   469
  \vdots & \vdots\\
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   470
  L_N & 1 \\
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   471
  \end{bmatrix}$
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diff changeset
   472
  and p is 
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   473
  $\begin{bmatrix}
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   474
  m\\
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   475
  c\\
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   476
  \end{bmatrix}$
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diff changeset
   477
\item We need to find $p$ to plot the line
274
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diff changeset
   478
\end{itemize}
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diff changeset
   479
\end{frame}
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diff changeset
   480
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diff changeset
   481
\begin{frame}[fragile]
268
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diff changeset
   482
\frametitle{Generating $A$}
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diff changeset
   483
\begin{lstlisting}
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diff changeset
   484
In []: A = array([L, ones_like(L)])
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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diff changeset
   485
In []: A = A.T
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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diff changeset
   486
\end{lstlisting}
277
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diff changeset
   487
\begin{small}
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diff changeset
   488
\begin{block}{}
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diff changeset
   489
  \begin{lstlisting}
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diff changeset
   490
In []: ones((3,5))
ef9337f7048c Added example for ones_like in session4.
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diff changeset
   491
Out[]: 
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diff changeset
   492
array([[ 1.,  1.,  1.,  1.,  1.],
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diff changeset
   493
       [ 1.,  1.,  1.,  1.,  1.],
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diff changeset
   494
       [ 1.,  1.,  1.,  1.,  1.]])
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diff changeset
   495
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diff changeset
   496
In []: ones_like([1, 2, 3, 4, 5]) 
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diff changeset
   497
Out[]: array([1, 1, 1, 1, 1])   
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diff changeset
   498
  \end{lstlisting}
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diff changeset
   499
Also available \alert{\typ{zeros, zeros_like, empty, empty_like}}
ef9337f7048c Added example for ones_like in session4.
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diff changeset
   500
\end{block}
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diff changeset
   501
\end{small}
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diff changeset
   502
268
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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diff changeset
   503
%% \begin{itemize}
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diff changeset
   504
%% \item A is also called a Van der Monde matrix
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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diff changeset
   505
%% \item It can also be generated using \typ{vander}
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diff changeset
   506
%% \end{itemize}
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diff changeset
   507
%% \begin{lstlisting}
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diff changeset
   508
%% In []: A = vander(L, 2)
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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diff changeset
   509
%% \end{lstlisting}
274
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diff changeset
   510
\end{frame}
34f71bdd0263 Loads of changes done.
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parents: 253
diff changeset
   511
34f71bdd0263 Loads of changes done.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 253
diff changeset
   512
\begin{frame}[fragile]
268
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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parents: 263
diff changeset
   513
\frametitle{\typ{lstsq} \ldots}
f978ddc90960 Moved least square fitting to session 4; removed vander function.
Puneeth Chaganti <punchagan@fossee.in>
parents: 263
diff changeset
   514
\begin{itemize}
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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parents: 263
diff changeset
   515
\item Now use the \typ{lstsq} function
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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parents: 263
diff changeset
   516
\item Along with a lot of things, it returns the least squares solution
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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parents: 263
diff changeset
   517
\end{itemize}
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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parents: 263
diff changeset
   518
\begin{lstlisting}
272
e5fc37a9ca96 Added initial slides of Slicing and Striding to session 4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 268
diff changeset
   519
In []: result = lstsq(A,TSq)
e5fc37a9ca96 Added initial slides of Slicing and Striding to session 4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 268
diff changeset
   520
In []: coef = result[0]
268
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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parents: 263
diff changeset
   521
\end{lstlisting}
253
e446ed7287d7 Updated session 2 and session 4 slides of day 1.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 240
diff changeset
   522
\end{frame}
e446ed7287d7 Updated session 2 and session 4 slides of day 1.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 240
diff changeset
   523
e446ed7287d7 Updated session 2 and session 4 slides of day 1.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 240
diff changeset
   524
\begin{frame}[fragile]
268
f978ddc90960 Moved least square fitting to session 4; removed vander function.
Puneeth Chaganti <punchagan@fossee.in>
parents: 263
diff changeset
   525
\frametitle{Least Square Fit Line \ldots}
f978ddc90960 Moved least square fitting to session 4; removed vander function.
Puneeth Chaganti <punchagan@fossee.in>
parents: 263
diff changeset
   526
We get the points of the line from \typ{coef}
f978ddc90960 Moved least square fitting to session 4; removed vander function.
Puneeth Chaganti <punchagan@fossee.in>
parents: 263
diff changeset
   527
\begin{lstlisting}
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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parents: 263
diff changeset
   528
In []: Tline = coef[0]*L + coef[1]
f978ddc90960 Moved least square fitting to session 4; removed vander function.
Puneeth Chaganti <punchagan@fossee.in>
parents: 263
diff changeset
   529
\end{lstlisting}
f978ddc90960 Moved least square fitting to session 4; removed vander function.
Puneeth Chaganti <punchagan@fossee.in>
parents: 263
diff changeset
   530
\begin{itemize}
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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parents: 263
diff changeset
   531
\item Now plot Tline vs. L, to get the Least squares fit line. 
f978ddc90960 Moved least square fitting to session 4; removed vander function.
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parents: 263
diff changeset
   532
\end{itemize}
f978ddc90960 Moved least square fitting to session 4; removed vander function.
Puneeth Chaganti <punchagan@fossee.in>
parents: 263
diff changeset
   533
\begin{lstlisting}
f978ddc90960 Moved least square fitting to session 4; removed vander function.
Puneeth Chaganti <punchagan@fossee.in>
parents: 263
diff changeset
   534
In []: plot(L, Tline)
f978ddc90960 Moved least square fitting to session 4; removed vander function.
Puneeth Chaganti <punchagan@fossee.in>
parents: 263
diff changeset
   535
\end{lstlisting}
127
44c2f614e321 Updated Integration section in Session 4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 124
diff changeset
   536
\end{frame}
44c2f614e321 Updated Integration section in Session 4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 124
diff changeset
   537
285
e072cadee389 Minor edits to session4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 282
diff changeset
   538
\begin{frame}[fragile]
e072cadee389 Minor edits to session4.
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parents: 282
diff changeset
   539
\frametitle{Least Squares Fit}
e072cadee389 Minor edits to session4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 282
diff changeset
   540
\vspace{-0.15in}
e072cadee389 Minor edits to session4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 282
diff changeset
   541
\begin{figure}
e072cadee389 Minor edits to session4.
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parents: 282
diff changeset
   542
\includegraphics[width=4in]{data/least-sq-fit}
e072cadee389 Minor edits to session4.
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parents: 282
diff changeset
   543
\end{figure}
e072cadee389 Minor edits to session4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 282
diff changeset
   544
\end{frame}
e072cadee389 Minor edits to session4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 282
diff changeset
   545
213
ce62706cf870 Resolved conflicts manually.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 203
diff changeset
   546
\section{Summary}
185
e59ab9ab1a89 Manual Merge with Mainline.
Puneeth Chaganti <punchagan@fossee.in>
parents: 179
diff changeset
   547
\begin{frame}
285
e072cadee389 Minor edits to session4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 282
diff changeset
   548
  \frametitle{What did we learn?}
185
e59ab9ab1a89 Manual Merge with Mainline.
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parents: 179
diff changeset
   549
  \begin{itemize}
213
ce62706cf870 Resolved conflicts manually.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 203
diff changeset
   550
  \item Matrices
214
19592f802dde Added matrix operations.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 213
diff changeset
   551
    \begin{itemize}
263
8a4a1e5aec85 Changes made for Goa workshop .
Shantanu <shantanu@fossee.in>
parents: 253
diff changeset
   552
      \item Accessing elements
285
e072cadee389 Minor edits to session4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 282
diff changeset
   553
      \item Slicing and Striding
214
19592f802dde Added matrix operations.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 213
diff changeset
   554
      \item Transpose
19592f802dde Added matrix operations.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 213
diff changeset
   555
      \item Addition
19592f802dde Added matrix operations.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 213
diff changeset
   556
      \item Multiplication
19592f802dde Added matrix operations.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 213
diff changeset
   557
      \item Inverse of a matrix
19592f802dde Added matrix operations.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 213
diff changeset
   558
      \item Determinant
274
34f71bdd0263 Loads of changes done.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 253
diff changeset
   559
      \item Eigenvalues and Eigen vector
277
ef9337f7048c Added example for ones_like in session4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 273
diff changeset
   560
      %% \item Norms
ef9337f7048c Added example for ones_like in session4.
Puneeth Chaganti <punchagan@fossee.in>
parents: 273
diff changeset
   561
      %% \item Singular Value Decomposition
214
19592f802dde Added matrix operations.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents: 213
diff changeset
   562
    \end{itemize}
268
f978ddc90960 Moved least square fitting to session 4; removed vander function.
Puneeth Chaganti <punchagan@fossee.in>
parents: 263
diff changeset
   563
  \item Least Square Curve fitting
185
e59ab9ab1a89 Manual Merge with Mainline.
Puneeth Chaganti <punchagan@fossee.in>
parents: 179
diff changeset
   564
  \end{itemize}
e59ab9ab1a89 Manual Merge with Mainline.
Puneeth Chaganti <punchagan@fossee.in>
parents: 179
diff changeset
   565
\end{frame}
e59ab9ab1a89 Manual Merge with Mainline.
Puneeth Chaganti <punchagan@fossee.in>
parents: 179
diff changeset
   566
118
c7f85ba59af3 Added session4.tex.
Santosh G. Vattam <vattam.santosh@gmail.com>
parents:
diff changeset
   567
\end{document}