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Re: A little odd puzzle solution

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Tom Roberts wrote:

> On 10/3/15 10/3/15   5:55 PM, rotchm wrote:
>> Yes it *seems* that Tom was the only one who understood it correctly,
>> but hasnt offered an answer.
> 
> And I won't. I know how to solve the puzzle, but am not interested in
> spending the time to do so -- I know how tricky such calculations can
> be, and would not trust an answer without a supporting simulation. So I
> have limited myself to commenting on obvious blunders.

Amazing, you are not going to say what rotchm said, that he used Monte 
Carlo simulation to solve it? You didnt came out a result, it suffices 
that you know how to do it.

*   In microelectronics engineering, Monte Carlo methods are applied to 
analyze correlated and uncorrelated variations in analog and digital 
integrated circuits.
    In geostatistics and geometallurgy, Monte Carlo methods underpin the 
design of mineral processing flowsheets and contribute to quantitative 
risk analysis.
    In wind energy yield analysis, the predicted energy output of a wind 
farm during its lifetime is calculated giving different levels of 
uncertainty (P90, P50, etc.)
    impacts of pollution are simulated[52] and diesel compared with petrol.
[53]
    In Fluid Dynamics, in particular Rarefied Gas Dynamics, where the 
Boltzmann equation is solved for finite Knudsen number fluid flows using 
the Direct Simulation Monte Carlo [54] method in combination with highly 
efficient computational algorithms.[55]
    In autonomous robotics, Monte Carlo localization can determine the 
position of a robot. It is often applied to stochastic filters such as the 
Kalman filter or Particle filter that forms the heart of the SLAM 
(Simultaneous Localization and Mapping) algorithm.
    In telecommunications, when planning a wireless network, design must 
be proved to work for a wide variety of scenarios that depend mainly on 
the number of users, their locations and the services they want to use. 
Monte Carlo methods are typically used to generate these users and their 
states. The network performance is then evaluated and, if results are not 
satisfactory, the network design goes through an optimization process.
    In reliability engineering, one can use Monte Carlo simulation to 
generate mean time between failures and mean time to repair for components.
    In signal processing and Bayesian inference, particle filters and 
sequential Monte Carlo techniques are a class of mean field particle 
methods for sampling and computing the posterior distribution of a signal 
process given some noisy and partial observations using interacting 
empirical measures. *

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Thread

A little odd puzzle solution rotchm <rotchm@gmail.com> - 2015-10-01 20:45 -0700
  Re: A little odd puzzle solution Kent Beeler <kenbee@jefffast.au> - 2015-10-02 12:09 +0000
    Re: A little odd puzzle solution rotchm <rotchm@gmail.com> - 2015-10-02 05:34 -0700
      Re: A little odd puzzle solution Kent Beeler <kenbee@jefffast.au> - 2015-10-02 12:43 +0000
        Re: A little odd puzzle solution rotchm <rotchm@gmail.com> - 2015-10-02 06:37 -0700
        Re: A little odd puzzle solution rotchm <rotchm@gmail.com> - 2015-10-02 06:38 -0700
          Re: A little odd puzzle solution Kent Beeler <kenbee@jefffast.au> - 2015-10-02 19:55 +0000
            Re: A little odd puzzle solution rotchm <rotchm@gmail.com> - 2015-10-02 13:07 -0700
              Re: A little odd puzzle solution Kent Beeler <kenbee@jefffast.au> - 2015-10-02 20:14 +0000
                Re: A little odd puzzle solution rotchm <rotchm@gmail.com> - 2015-10-02 13:21 -0700
                Re: A little odd puzzle solution xxein1@att.net - 2015-10-03 12:02 -0700
                Re: A little odd puzzle solution rotchm <rotchm@gmail.com> - 2015-10-03 15:55 -0700
                Re: A little odd puzzle solution Tom Roberts <tjroberts137@sbcglobal.net> - 2015-10-03 19:03 -0500
                Re: A little odd puzzle solution xxein1@att.net - 2015-10-03 17:51 -0700
                Re: A little odd puzzle solution rotchm <rotchm@gmail.com> - 2015-10-03 18:03 -0700
                Re: A little odd puzzle solution xxein1@att.net - 2015-10-03 18:07 -0700
                Re: A little odd puzzle solution Kent Beeler <kenbee@jefffast.au> - 2015-10-04 17:21 +0000
                Re: A little odd puzzle solution xxein1@att.net - 2015-10-03 17:47 -0700
                Re: A little odd puzzle solution rotchm <rotchm@gmail.com> - 2015-10-03 18:06 -0700
                Re: A little odd puzzle solution xxein1@att.net - 2015-10-03 18:35 -0700
              Re: A little odd puzzle solution Kent Beeler <kenbee@jefffast.au> - 2015-10-02 21:16 +0000
  Re: A little odd puzzle solution rotchm <rotchm@gmail.com> - 2015-10-02 11:29 -0700

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