lobo/ss-tp1

System Simulation: Cell Index Method

System Simulation: Cell Index Method

The program receives the following parameters:

1. The positions (x,y) coordinates of the N particles that the system has.
2. The radii of those particles
3. N = number of particles
4. L = length of the side
5. M = number of cells
6. RC
7. Walls included: this is a boolean value. If true, the algorithm considers the wall

The program outputs the following:

• For every particle, a list with all the particles that are near in less than RC
• Execution time
• A picture that shows the position of all the particles, which can also enable the selection of one of them and its neighbors.

Build

To build the project, it is necessary to have Maven and Java 1.8 installed. Then, run

$ mvn clean package

This will generate a jar in the target folder.

Execute

Cell Index Method

Using this with input files

$ java -jar target/tp1-1.0-SNAPSHOT.jar cellfile <staticFile> <dynamicFile> <RC> <true | false> <M> <filename>

Using this without input files

$ java -jar target/tp1-1.0-SNAPSHOT.jar cell <N> <R> <L> <RC> <true | false> <M> <filename>

Brute Force

Using this with input files

$ java -jar target/tp1-1.0-SNAPSHOT.jar brutefile <staticFile> <dynamicFile> <RC> <true | false> <filename>

Using this without input files

$ java -jar target/tp1-1.0-SNAPSHOT.jar brute <N> <R> <L> <RC> <true | false> <filename>

Where:

• [N] is the number of particles
• [R] is the radius
• [L] is the length of the side of the square
• [M] is an optional parameter (just for the Cell Index Method)
• [RC] is the radius
• The fifth parameter can be true or false: true to include particle walls, false to exclude them.
• <filename> is the name of the file (without the extension). If entered null the output will only be via console. The output file can be found on the root of the project with a .txt extension.

Help

$ java -jar target/tp1-1.0-SNAPSHOT.jar help

Input files format

Static

N
L
r1 pr1
r2 pr2
r3 pr3
...
rn prN

Dynamic

Note: the first line represents the time. Given the fact that the detection of the neighbors occurs at a given instant of the system, there's only one time in this file. Like a snapshot.

t0
x1 y1
x2 y2
x3 y3
...
xN yN

Output file format

[id-of-particle-i id's of the particles which border-border distance is less than rc]

Developers

This project has been built, designed and maintained by the following authors:

• Daniel Lobo
• Agustín Golmar