@article{wikipedia,
title = "Scripting language",
author = "[1]",
url = {http://en.wikipedia.org/wiki/Scripting_language},
}
@book{kailath1980linear,
title={Linear Systems},
author={Kailath, T.},
isbn={9780135369616},
lccn={79014928},
series={Information and System Sciences Series},
year={1980},
publisher={Prentice-Hall}
}
here is my bib file and here is my latex
\section{Introduction}
The project will consider direct methods for solving linear systems of equations. A number of methods will be investigated. The project will examine methods for solving general linear systems including Gaussian elimination and LU factorisation as well as methods for special linear systems such as the Cholesky and LDL decompositions.
\section{Structure of the thesis}
In this project, we will start from the analysis of linear system using the linear equations and matrix, and then we will enter the general linear system we will start from the first semester this include the method of Gaussian elimination and the LU method also part the end of the semester we will have completed the first two parts and also start working on the third part third is the method chelosky LDL, in the end, at this three-part there will have been completed the report as well include the final presentation of the project.
\section{Aims of the Project}
In this project I will gain on linear systems how they work in real life. I will be examined in methods of resolving tables and various other methods.
\chapter{PROJECT SCOPE}
\section{Brief definition of a linear system}
Linear systems are systems of equations in which the variables are never multiplied with each other but only with constants and then summed up.A Linear systems,also it's a set of collection of linear equations with the same unknowns,which we're trying to define so that they verify all the equations. For example $n$ linear equations in $n$ unknowns $x_1,x_2,...,x_n$.
We also we will use the formula,
$$\sum_{j=1}^n a_{i,j}x_j=b_i,\quad i=1,2,\ldots,n.\cite{poole2005linear}$$
\section{A Historical Background about linear equation}
First we will start to tell some of the important information and dates concerning linear systems.Starting first I will refer to the year in which the first linear has written 300 of the ancient Babylonians who solved 2 equation with 2 unknowns.The Chinese are between 200 with 100 used matrix.The method used is essentially the Gauss method.The Cardan in the book of Ars Magna at 1545 it's been invented the cramer's rules to resolve 2 equations, approaching the concept of determinants.The Cramer to 1750 gives the general rule that he is now known by his name Cramer's rules for the one solution
nxn systems.
\section{Number of solution in Linear equation}
In linear systems can exist two types of solutions.A solution of a linear system is an assignment of values to the variables\quad$x_1,x_2 \ldots x_n$ such that each of the equations is satisfied with type of solution set.
In general a linear system may have:
\begin{enumerate}
\item infinitely solution,
\item unique solution,
\item no solution
\end{enumerate}
\section{Geometric interpretation}
For a linear system equation has to variable $x$ and $y$ each then determinate a
line.Because is a solution to a linear system must satisfy all of the equations,
the solution set is the intersection of these lines, and is hence either a line, a
single point, or the empty set.
For example,in the Cramer's rule has a geometric interpretation that can be considered also a proof or simply giving insight about its geometric nature. These geometric arguments work in general and not only in the case of two equations with two unknowns.Have an example to illustrate, \label{geometriacal example}
\begin{figure}[htp]
\centering
\includegraphics[scale=.6]{pics/geogebra-export}
\caption{geometrical example}
\label{fig:illustration}
\end{figure}
\subsection{Cramer's rule}
In linear algebra, Cramer's rule is an formula for the solution of a system of linear equations with as many equations as unknowns, valid whenever the linear system has a unique solution.Cramer’s Rule is a method that uses determinants to solve systems of equations that have the same number of equations as variables.This considers a system of two linear equations in two variables.
Why Cramer's rule is not suitable for solving large linear systems?\\
This is a good question the solution through the rules of the Cramer nation is impossible because the time required to solve a linear equation is long there is no solution in Cramer's rule in large linear systems.
\section{Numerical method}
The Linear System also can be applied with method of solution:
\begin{itemize}
\item Direct method
\item iterative method
\end{itemize}
\paragraph{Direct method}
\vspace{0.8cm}
A direct method are the results in linear systems can be counted after the experience and many operations.In the absence of a path leads to the exact solution of the linear system equation.In practice however, the accumulation of rounding errors combined with possible algorithm instability or system function, using the method can lead to a completely useless solution. Essentially, all direct methods used are variants of the Gauss elimination method.
\textbf{Iterative method}
$x_{1} \quad x_{2} \quad .... \in\mathbb{R}^n$.In the project will not use this method we use the direct method as well.
\cite{wikipedia}
\chapter{General Linear Systems}
\section{Gaussian Elimination}
Gaussian Elimination also known as
Gaussian elimination works following this step
First Steps:
\bibliographystyle{plain}
\bibliography{bibliography}
\end{document}
the error u I can't see my bibliography on my pdf and he said cite ..... on page 5 is undefined which is wrong.
{}. – koleygr Nov 09 '19 at 07:17bibtexon your file and then againpdflatextwice. (See here : https://tex.stackexchange.com/a/433048/120578) – koleygr Nov 09 '19 at 07:20