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Consulting Process

We Will Make The Consulting Process A Smooth Experience For You!

We offer professional services to our clients by delivering quality products with timely turnaround.

Consulting Process

Step 1
You provide us with the description of the project and we will give you an estimate and an approximate date of delivery for the service.
Step 2
Upon accepting the terms from each party, we will start to work on the project.

* Clients will be required to deposit a retainer as a commitment to the project. For small project, a full advance payment is required.

Step 3
We send you the initial project for your review and testing.

* When necessary, we can arrange checkpoints throughout the project development to ensure that the project is on the right track.

Step 4
We can make changes to meet your needs.

Step 5
You approve the project and make any residual payment.

Step 6
You assign us our next project!

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Monte Carlo Simulation

A Monte Carlo algorithm is often a numerical Monte Carlo method used to find solutions to mathematical problems (which may have many variables) that cannot easily be solved, for example, by integral calculus, or other numerical methods. For many types of problems, its efficiency relative to other numerical methods increases as the dimension of the problem increases. Or it may be a method for solving other mathematical problems that relies on (pseudo-)random numbers. Monte Carlo methods are useful for modeling phenomena with significant uncertainty in inputs, such as the calculation of risk in business. Monte Carlo methods have also proven efficient in solving coupled integral differential equations of radiation fields and energy transport, and thus these methods have been used in global illumination computations which produce photorealistic images of virtual 3D models, with applications in video games, architecture, design, computer generated films, special effects in cinema, business, economics and other fields. The advantage Monte Carlo methods offer increases as the dimensions of the problem increase.
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