The need for accurate monitoring and analysis of sequential data arises in many scientic, industrial
and nancial problems. Although the Kalman lter is effective in the linear-Gaussian
case, new methods of dealing with sequential data are required with non-standard models.
Recently, there has been renewed interest in simulation-based techniques. The basic idea behind
these techniques is that the current state of knowledge is encapsulated in a representative
sample from the appropriate posterior distribution. As time goes on, the sample evolves and
adapts recursively in accordance with newly acquired data. We give a critical review of recent
developments, by reference to oil well monitoring, ion channel monitoring and tracking
problems, and propose some alternative algorithms that avoid the weaknesses of the current
methods.
We have a group of N items (represented by integers from 1 to N), and we know that there is some total order defined for these items. You may assume that no two elements will be equal (for all a, b: a<b or b<a). However, it is expensive to compare two items. Your task is to make a number of comparisons, and then output the sorted order. The cost of determining if a < b is given by the bth integer of element a of costs (space delimited), which is the same as the ath integer of element b. Naturally, you will be judged on the total cost of the comparisons you make before outputting the sorted order. If your order is incorrect, you will receive a 0. Otherwise, your score will be opt/cost, where opt is the best cost anyone has achieved and cost is the total cost of the comparisons you make (so your score for a test case will be between 0 and 1). Your score for the problem will simply be the sum of your scores for the individual test cases.
This project aims to distribute a facial animation system with speech, developed to brazilian portuguese case. This system is composed by many modules: movement extraction, facial animation and speech, through a text-to-speech system.
TFIND
searches for one or more strings (boolean AND) in a text file.
TFIND reports all lines where the string(s) were found (or NOT found
by option).
The search can be limited to a field in a fixed field (i.e. column
oriented) list.
An extended search mode is available, where only letters and digits
are relevant.
Other options:
case sensitive search,
alternative errorlevel with number of hits,
header line with file name, LFN, custom prefix
這是linux下的進化計算的源代碼。
=== === === === === === === === === === === =====
check latest news at http://eodev.sourceforge.net/
=======================================================================
Welcome to EO, the Evolving Objects library.
The latest news about EO can be found on the sourceforge repository at
http://eodev.sourceforge.net/
In case of any problem, please e-mail us at
eodev-help@lists.sourceforge.net, eodev@egroups.com
To get started, take a look at the tutorial, starting with
./tutorial/html/eoTutorial.html
The easiest way to start programming a new genome with all EO
evolution engines handy is to create a new standalone EO project from
the tutorial/Templates/ directory. Read Lesson 5 of the tutorial for
an introduction )
Session 1: common and useful built-in Mathematica functions variable assignment and function definition
the Front End and the Kernel Notebooks.
Session 2: organisation of data in Mathematica lists and expressions simple programming functions
nesting.
Session 3: the opportunity to develop your proficiency as a Mathematica user through work on an extended
problem Case Studies Mathematica resources on the Internet.
Parking Lot Simulation：
Parking lot attendants often park cars bumper-to-bumper, several cars deep. This maximizes the number of cars they can fit into a parking lot at the expense of complicating the process of retrieving someone s car when they want to leave. Consider the case of a person wanting to leave the parking lot but their car is parked in the back of a row of cars. In this case, all the cars parked in front of this person s car must be temporarily moved to allow this person to leave.
The market for miniature computer programming is exploding. C++ Footprint and Performance Optimization supplies programmers the knowledge they need to write code for the increasing number of hand-held devices, wearable computers, and intelligent appliances.
This book gives readers valuable knowledge and programming techniques that are not currently part of traditional programming training.
In the world of C++ programming, all other things being equal, programs that are smaller and faster are better.
C++ Footprint and Performance Optimization contains case studies and sample code to give readers concrete examples and proven solutions to problems that don t have cut and paste solutions.
這個工具集提供以下結構化分析和UML分析中所用的圖形化繪圖工具：ER-diagrams, data and event flow diagrams and state-transition diagrams，class-diagram editor, a use-case diagram editor and an activity diagram editor
