Inhaltsverzeichnis

Computer und Mathematik

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LaTeX

\documentclass[11pt,fleqn]{scrartcl}
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\usepackage{ngerman}
\usepackage{graphicx}
\usepackage{amsmath,amssymb,amstext,bbm}
\usepackage[automark]{scrpage2}
\title{Formelheft}
\author{Helmuth Peer}
\date{\today{}, Weiz}
\begin{document}
\maketitle
\thispagestyle{empty}% weil \maketitle ggf. ein \thispagestyle{plain} enthält 
\tableofcontents
%\pagestyle{empty}
%\ifoot[]{Peer}
%\cfoot{}
%\ofoot{}
\section{Potenzen}
$a, b \in \mathbb{R}, r, s \in \mathbb{R}, k \in \mathbb{Z}, m, n \in
\mathbb{N}^{\ast}$
 
$a^0 = 1$
 
$a^{- n} = \frac{1}{a^n} = \left( \frac{1}{a} \right)^n$
 
$a^{\frac{1}{n}} = \sqrt[n]{a}$
 
$a^r \cdot a^s = a^{r + s}$
 
$\sqrt[n]{a^k} = \sqrt[n \cdot m]{a^{k \cdot m}}$
 
$( \sqrt[n]{a})^k = \sqrt[n]{a^k}$
 
$(a \pm b)^2 = a^2 \pm 2 ab + b^2$
 
\section{Logarithmen}
 
$a, b \in \mathbbm{R}^+ \backslash \left\{ 1 \right\},
u, v \in \mathbbm{R}^+, r \in \mathbbm{R}, n \in \mathbbm{N}^{\ast} \bot \in
\backslash$
 
\[e = \lim_{n \rightarrow \infty}^{} \left( 1 + \frac{1}{n} \right)^n\]
 
\[ \lim_{n \rightarrow \infty} \left( 1 + \frac{1}{n} \right)^n = 2, 71828 \ldots \]
 
\section{Quadratische Gleichungen}
 
\[x^2 + px + q = 0\]
 
\[x = - \frac{p}{2} \pm \sqrt{\left( \frac{p}{2} \right)^2 - q}\]
 
 
 
\begin{tabular}{|l|l|l|}
  \hline
  $x^2 + px + q = 0$  &  & $ax^2 + bx + c = 0$\\
  \hline
  $x = - \frac{p}{2} \pm \sqrt{\left( \frac{p}{2} \right)^2 - q}$ &  & $x = \frac{- b \pm \sqrt{b^2 - 4 ac}}{2 a}$\\
 \hline
\end{tabular}
 
\section{Komplexe Zahlen}
 
$z = a + bi \in \mathbbm{C} \Leftrightarrow a, b \in \mathbbm{R}
\ \mbox{und} \ i^2 = - 1 ; \sqrt{- a} = i \sqrt{a} \ \mbox{mit} \ a > 0$ \\
$(a + bi) (a - bi) = a^2 + b^2$
 
$\left| z \right| = r = \sqrt{a^2 + b^2}$
 
$\arg z = \varphi \in [0^{\circ} ; 360^{\circ} [$
 
%\includegraphics{oelta002.png}
 
\section{Schaltalgebra}
 
 
 
$a \vee b = b \vee a$
 
$a \wedge b = b \wedge a$
\section{Vektoren}
 
\subsection{Vektorielles Produkt}
 
$\vec{a} = \left(\begin{array}{c}
  a_1\\
  a_2\\
  a_3
\end{array}\right) \times \left(\begin{array}{c}
  b_1\\
  b_2\\
  b_3
\end{array}\right) = \left(\begin{array}{c}
  \left|\begin{array}{c}
    a_2 b_2\\
    a_3 b_3
  \end{array}\right|\\
  - \left|\begin{array}{c}
    a_1 b_1\\
    a_3 b_3
  \end{array}\right|\\
  \left|\begin{array}{c}
    a_1 b_1\\
    a_2 b_2
  \end{array}\right|
\end{array}\right) = \left(\begin{array}{c}
  a_2 b_3 - a_3 b_2\\
  a_3 b_1 - a_1 b_3\\
  a_1 b_2 - a_2 b_1
\end{array}\right)$
 
\section{Analytische Geometrie}
 
$\overrightarrow{\text{AB}} = B - A$
 
\subsection{Fl\"acheninhalt Parallelogramm}
 
$A_p = \sqrt{\vec{a}^2 \cdot \vec{b}^2 - ( \vec{a} \cdot \vec{b})^2}$
 
 
 
\subsection{Parameterdarstellung einer Geraden}
 
$\vec{x} = \left(\begin{array}{c}
  1\\
  2\\
  3
\end{array}\right) + t \cdot \left(\begin{array}{c}
  4\\
  5\\
  6
\end{array}\right)$
 
\section{Differential- und Integralrechnung}
 
\subsection{Ableitungs- und Stammfunktionen}
 
\begin{tabular}{|l|l|l|}
  \hline
  Funktion & Ableitungsfunktion & Stammfunktionen\\
  \hline
  $y = f (x) = k$ & $y' = f' (x) = 0$ & $F (x) = \int \mbox{kdx} = \mbox{kx} +
  C$\\
  \hline
  $y = f (x) = x^q$ & $y' = f' (x) = q \cdot x^{q - 1}$ & $q \neq - 1 :$ \\
  \hline
  &  & $F (x) = \int x^q \mbox{dx} = \frac{x^{q + 1}}{q + 1} + C$\\
  \hline
\end{tabular}
 
\subsection{Rauminhalte}
 
\subsubsection{Drehk\"orper}
 
Drehung um die x-Achse:
 
\(V = \pi \int^b_a y^2 \mbox{dx}\)
 
\subsection{Numerische Integration}
 
\subsubsection{Rechtecksformel}
 
$\int^b_a f (x) \mbox{dx} \approx \frac{b - a}{n} \cdot [f (x_0) + f (x_1) + f
(x_2) + \ldots . + f (x_{n - 1})] = \Delta x \cdot \sum^{n - 1}_{i = 0} f
(x_i)$
\[ \Delta x \cdot \sum_{i = 0}^{i - 1} f (x_i) \]
 
\subsection{Binomialverteilung}
 
$P (X = k) = b_{n, p} (k) = \left(\begin{array}{c}
  n\\
  k
\end{array}\right) p^k (1 - p)^{n - k}$
 
\subsection{Normalverteilung}
 
$\varphi (x) = \frac{1}{\sqrt{2 \pi}} e^{- \frac{x^2}{2}}$
 
 
\[ \Phi (z) = \int^z_{- \infty} \varphi (x) \text{dx} = \frac{1}{\sqrt{2 \pi}}
   \int^z_{- \infty} e^{- \frac{x^2}{2}} \mbox{dx} \]
 
 
\end{document}

Wiederholung und Fortsetzung Formelheft

http://de.wikibooks.org/wiki/LaTeX-Kompendium:_F%C3%BCr_Mathematiker http://mirror.ctan.org/info/symbols/comprehensive/symbols-a4.pdf

\documentclass[11pt,fleqn]{scrartcl}
\usepackage{ucs}
\usepackage[utf8x]{inputenc}
\usepackage{ngerman}
\usepackage{graphicx}
\usepackage{amsmath,amssymb,amstext,bbm}
\usepackage[automark]{scrpage2}
\usepackage{cancel}
\title{Formelheft}
\author{Helmuth Peer}
\date{\today{}, Weiz}
\begin{document}
\maketitle
\thispagestyle{empty}% weil \maketitle ggf. ein \thispagestyle{plain} enthält 
\tableofcontents
%\pagestyle{empty}
%\ifoot[]{Peer}
%\cfoot{}
%\ofoot{}
\section{Potenzen}
$a, b \in \mathbbm{N}^{\ast}$
 
$x^0=1$
 
$a^{-n}=\frac{1}{a^n}=\left(\frac{1}{a}\right)^n$
 
$a^{\frac{1}{n}}=\sqrt[n]{a}$
 
$a^r \cdot a^s=a^{r+s}$
 
\section{Logarithmen}
$a, b \in \mathbb{R}^+ \backslash \left\{1 \right\}$
 
\[e=\lim_{n \rightarrow \infty} \left(1+ \frac{1}{n} \right)^n\]
 
\section{Approximation}
X ist binomialverteilt mit den Parametern $\mu=np \mbox{ und } \sigma=\sqrt{np(1-p)}$
 
Für alle Zahlen \(a_1 \dots a_n\) gilt \dots  %Formel in der Textzeile
 
\(\frac{13}{39} = \cancel{{\frac{13}{13}}} \cdot \frac{1}{3}\)
\(\frac{13}{39} = \frac{\cancel{13} \cdot 1}{\cancel{13} \cdot 3}\)
\(\frac{13}{39} = \cancelto{1}{\frac{13}{13}} \frac{1}{3}\)
 
\section{Weitere Verteilungen}
\subsection{Hypergeometrische Verteilung}
\(n,N,M \in \mathbb{N}^{\ast}, k \in \mathbb{N}, n \le N, k \le n, k \le M, n-k \le N, M \le N\)
 
\[P(X=k)= \frac{\left(\begin{array}{c}
                       M\\
                       k
                      \end{array}
                \right)
                \left(\begin{array}{c}
                       N-M\\
                       n-k
                      \end{array}
                \right)}
               {\left(\begin{array}{c}
                       N\\
                       n
                       \end{array}
                \right)}
\]
\[\mu=E(X)=n \cdot \frac{M}{N} \hspace*{2.5cm} \sigma^2=V(X)=n \cdot \frac{M}{N} \cdot \left(1-\frac{M}{N}\right) \cdot \frac{N-n}{N-1}
\]
\subsection{Poisson-Verteilung}
\(n \in \mathbb{N}^{\ast},0 \le p \le 1, \mu=n \cdot p \)
 
 
\(P(X=x)=f(x)=\frac{\mu^x}{x!} \cdot e^{-\mu} \hspace{1.5cm} \mu=E(X)=n \, p \hspace{1.5cm} \sigma^2=V(X)=n\,p\)
 
\section{Chi-Quadrat-Abweichungsmaß}
\(b_i \dots \mbox{beobachtete Häufigkeit in der Klasse i}\, (i=1,2, \dots , n)\)
 
\(e_i \dots \mbox{erwartete Häufigkeit in der Klasse i}\)
\[\chi^2=\frac{(b_1-e_1)^2}{e_1}+\frac{(b_2-e_2)^2}2{e_2}+ \dots + \frac{(b_n-e_n)^2}{e_n}=\sum_{i=1}^{n} \frac{(b_i-e_i)^2}{e_i}\]
 
\end{document}