computer science

Use the attached html file and images folder for the exam. You can see the output of the attached code in below image:

Web Programming Lab Exam $3$

Initially you need to hide the first table all div's, like shown in the output below

Do the above steps with Colors and Footballer section also. Colors images are $[$Red$,$ Yellow, Green, Black, Blue$]$

Footballer images are $[$Karim$,$ Ronaldo, Messi, Neymar, MoSalah$]$

When you click on the image of any section its textfield name will be added to the

Addendum

The simplest central finite difference approximation for $2^{nd}$ order derivatives at $x=x_i$ uses three points $-x_i$ and the two adjacent points $x_{i-1}$ and $x_{i+1}.$

$\frac{d^{2}f}{d{x}^2}{|}_x|=x_i$~~$\frac{f_{i-1}-2f_i+f_{i+1}}{x^2}$

Remember, $f_i=f(x_i)$ and $x_{i+j}=x_i-jx$ where $x_i$ are points$/$nodes on the mesh, $x$ is the spacing between the points$/$nodes on the mesh and $j$ is an integer indicating how far apart the points$/$nodes are.

The leading term in the truncation error of the above approximation is of the order $x^2,$ i$.$e$.,$ the error is proportional to $x^2.$ For an approximation with higher accuracy $($assuming $x$ is small and less than $1),$ we need more points instead of the $3$ above. The following is a central finite difference approximation with the truncation error of the order $x^4.$

$\frac{d^{2}f}{d{x}^2}{|}_x|=x_i$~~$\frac{-f_{i-2}+16f_{i-1}-30f_i+16f_{i+1}+16f_{i+1}-f_{i+2}}{12x^2}$

Likewise, for $1^{st}$ order derivatives these would respectively be:

$\frac{df}{dx}{|}_x|=x_i$~~$\frac{f_{i+1}-f_{i-1}}{2x}$

$\frac{df}{dx}{|}_x|=x_i$~~$\frac{f_{i-2}-8f_{i-1}+8f_{i+1}-f_{i+2}}{12x}$

$\frac{208}{293}$

$1003$

$1003$

$+$

$[.]$

D

thindex$5$;

Int ugiy $=-$ ely lunsinext$-$glyindex $-1$

$q,$

$q,$

$$ it sucrifices al: $$ Cisers:

$.{?}^B$

$20\mathrm{.}6$

I

Hash Tables for Characters