# Hypercube php jobs

Looking for an experienced python programmer to create structed P2P system that is organized as a ‘n’-dimensional **hypercube**.
You will do experiments to see how many dimensions the virtual machine can support. Each node will be simulated with a thread. Thus, you will create threads with different binary identifiers as necessary.

...the code creates an animation of a spinning **hypercube**. The animation should be similar to the one shown in the attachment file. The **hypercube** is shown as vertices connected by lines.
In the animation, the inner cube will increase and decrease in size (scaling) as the whole structure spins. The **hypercube** appears to rotate around a circular path, you

...according to cloud
. place word Mobile and Web under icons
. actuators one line going to it, line grouping them
. benefits cloud, groupd with line, DOTTED line going to it
. **hypercube**, make cube color reference, ok shades, make hyper white logo, bottome cube
. actuators, color, same as reference colors
Graph 3
[url removed, login to view]

...points as black dots. Calculate the approximation error for each N using a separate set of 100 test points generated using Latin **hypercube** sampling(see more info in file exercise). I have a function for the Latin **hypercube** sampling, but it needs to be altered to fit this project. Try to make the code in functions with one small script to run the functions

...problems
1. Sorting: Bitonic sort, hyperquick sort, sorting by regular sampling, bucket and sample sort
2. Fast Fourier Transform: **hypercube** topology
3. Solving Linear Systems: Row oriented Gaussian elimination on **hypercube** topology, Jacobi algorithm, Gauss Seidel algorithm, Conjugate gradient.
4. Shortest Paths in a Graph
5. Traveling Sales Person
6

...problems
1. Sorting: Bitonic sort, hyperquick sort, sorting by regular sampling, bucket and sample sort
2. Fast Fourier Transform: **hypercube** topology
3. Solving Linear Systems: Row oriented Gaussian elimination on **hypercube** topology, Jacobi algorithm, Gauss Seidel algorithm, Conjugate gradient.
4. Shortest Paths in a Graph
5. Traveling Sales Person
6

...problems
1. Sorting: Bitonic sort, hyperquick sort, sorting by regular sampling, bucket and sample sort
2. Fast Fourier Transform: **hypercube** topology
3. Solving Linear Systems: Row oriented Gaussian elimination on **hypercube** topology, Jacobi algorithm, Gauss Seidel algorithm, Conjugate gradient.
4. Shortest Paths in a Graph
5. Traveling Sales Person
6

...problems
1. Sorting: Bitonic sort, hyperquick sort, sorting by regular sampling, bucket and sample sort
2. Fast Fourier Transform: **hypercube** topology
3. Solving Linear Systems: Row oriented Gaussian elimination on **hypercube** topology, Jacobi algorithm, Gauss Seidel algorithm, Conjugate gradient.
4. Shortest Paths in a Graph
5. Traveling Sales Person

I need a visual application that simulates the following algorithms:
1) Fault tolerant routing algorithm in **hypercube**. It is described in detail in the attached pdf.
2) Algorithm for finding k shortest disjoint path-pair between nodes in regular graphs( see attached doc ). It can be any topology, a random topology
Use OpenGl to draw the graphs:

I need a visual application that simulates the following algorithms:
1) Fault tolerant routing algorithm in **hypercube**. It is described in detail in the attached pdf.
2) Algorithm for finding k shortest disjoint path-pair between nodes in regular graphs( see attached doc ). It can be any topology, a random topology
Use OpenGl to draw the graphs:

I need a visual application that simulates the following algorithms:
1) Fault tolerant routing algorithm in **hypercube**. It is described in detail in the attached pdf.
2) Algorithm for finding k shortest disjoint path-pair between nodes in regular graphs( see attached doc ). It can be any topology, a random topology
Use OpenGl to draw the graphs:

I need a visual application that simulates the following algorithms:
1) Fault tolerant routing algorithm in **hypercube**. It is described in detail in the following pdf.
2) Fault tolerant routing algorithm in crossed cube. Described in pdf.
3) Algorithm for finding k shortest disjoint path-pair between nodes in regular graphs. It can be any

I need a visual application that simulates the following algorithms:
1) Fault tolerant routing algorithm in **hypercube**. It is described in detail in the following pdf.
2) Fault tolerant routing algorithm in crossed cube. Described in pdf.
3) Algorithm for finding k shortest disjoint path-pair between nodes in regular graphs. It can be any

...neighboring blocks
3 - Powerup row explosion: destroys the blocks of the selected row
4 - Powerup column explosion: destroys the blocks of the selected column
5 - Powerup **hypercube**: destroys all blocks of the selected color
6 - Powerup row plus explosion: destroys the blocks of the selected row and column
7 - Powerup bombing: destroys 6 sets of 5 random

...a simulation of this project. Please use the following Run Preferences: 2000 Trials,
Use Same Sequence of Random Numbers with an Initial Seed Value of 999, and the Latin **Hypercube**
Sampling Method with a Sample Size of 500. Use the Set Cell Value to Distribution Mean option under Cell
Preferences. Also, be sure to clearly indicate which cells are assumption

Latin **Hypercube** Sampling - Orthogonal Set up a simple example of LHS Orthogonal sampling. Consider X1, X2 as normally distributed. Y = F(X1,X2) Provide the code in Visual Basic or C#.
## Deliverables
1) Complete and fully-functional working program(s) in executable form as well as complete source code of all work done.
2) Deliverables must be

...designer are required,
this is not a task for amateurs.
1. First image is the cube with a network on it:
(check attaches document)
Change the Cube picture. Keep, the **hypercube** concept,
but instead of the small cube in the middle, create a
sphere inside the cube. Inside the sphere in the middle,
put the concept map related together with links

...speedup factor / number of processors.
8. Cross product of an array’s extent determines its:
a. density. b. range. c. shape. d. rank.
9. Embedding chain topology in a **hypercube** involves the use of:
a. gray code ordering. [url removed, login to view] algorithm.
c. dynamic programming. d. branch and bound search.
10. The FORTRANâ€‘90 data parallel construct dp_locate