Traveling Salesman Problem (TSP) has been an interesting problem for a long
time in classical optimization techniques which are based on linear and nonlinear
programming. TSP can be described as follows: Given a number of cities to visit
and their distances from all other cities know, an optimal travel route has to be
found so that each city is visited one and only once with the least possible distance
traveled. This is a simple problem with handful of cities but becomes complicated
as the number increases.
SDP, Service Delivery Platform, is more for telecom operators who want to manage the Data Service better delivered to the end device users by bridging with back-end content providers. Operators rely on the content provider to create & distribute data content to different types of devices. This is different from the open world in the internet communication. Operators must control who can access what content based on his rate plans. Also, based the content access results, the process will be recorded as the transaction records based on which billing statements can be generated to collected the money and shared by operators and content providers. I am working on the conceptual architecture level and the real implementation is very complicated due to too many types of service from different content providers to different types of devices based on the different types of the rate plans.
SDP, Service Delivery Platform, is more for telecom operators who want to manage the Data Service better delivered to the end device users by bridging with back-end content providers. Operators rely on the content provider to create & distribute data content to different types of devices. This is different from the open world in the internet communication. Operators must control who can access what content based on his rate plans. Also, based the content access results, the process will be recorded as the transaction records based on which billing statements can be generated to collected the money and shared by operators and content providers. I am working on the conceptual architecture level and the real implementation is very complicated due to too many types of service from different content providers to different types of devices based on the different types of the rate plans.
In recent years, the UNIX operating system has seen a huge boost in its popularity, especially with the
emergence of Linux. For programmers and users of UNIX, this comes as no surprise: UNIX was designed to
provide an environment that s powerful yet easy to use.
One of the main strengths of UNIX is that it comes with a large collection of standard programs. These
programs perform a wide variety of tasks from listing your files to reading email. Unlike other operating
systems, one of the key features of UNIX is that these programs can be combined to perform complicated
tasks and solve your problems.
One of the most powerful standard programs available in UNIX is the shell. The shell is a program that
provides you with a consistent and easy-to-use environment for executing programs in UNIX. If you have
ever used a UNIX system, you have interacted with the shell.
As science advances, novel experiments are becoming more and more complex, requiring a zoo of control devices and electronics executing complicated sequences of steps. Device availability and monetary constrains usually lead to a highly heterogeneous setup with components from several different manufacturers using many different protocols and interfacing mechanisms. This often results in control software being puzzled together to use and provide a multitude of interfacing and control functionality, each using their own calling conventions, data structures, etc. To make matters worse, usually a group of relatively independent programmers is trying to write and maintain the code base. Often this causes extensive duplication of effort as program segments are hard to reuse, since unpredictable changes to the segments by the original authors might compromise other code using these segments.
If you d like to create web-based applications easily, then this book is for you. More importantly, it shows you
how to do that with joy and feel good about your own work! You don t need to know servlet or JSP while your
productivity will be much higher than using servlet or JSP directly. This is possible because we re going to
use a library called "Tapestry" that makes complicated stuff simple and elegant.
FreeFEM is an implementation of the GFEM language dedicated
to the finite element method. It provides you a way to solve Partial
Differential Equations (PDE) simply. Although you can solve quite complicated
problems can be solved also.
this a Navier-Stokes equations solver. It support grids contains of multiple connected rectangles. So you can simulate viscous flows in any complicated tubes
"Readers can pick up this book and become familiar with C++ in a short time. Stan has taken a very broad and complicated topic and reduced it to the essentials that budding C++ programmers need to know to write real programs. His case study is effective and provides a familiar thread throughout the book.
This contribution provides functions for finding an optimum parameter set using the evolutionary algorithm of Differential Evolution. Simply speaking: If you have some complicated function of which you are unable to compute a derivative, and you want to find the parameter set minimizing the output of the function, using this package is one possible way to go.
