Friday, January 29, 2010

Thursday@KEMA

We prepared our presentation this Thursday.

We set up a small network with a loop and a radial structure as a numerical example to demonstrate our linear programming approach for DPG optimization problem. The algorithm works surprisingly fast in Matlab which gives us a lot of confidence in solving a more complex network problem.

Around 6, the nice smell of Pizza in the hall attracts our attention for a while. After a quick "avondeten", we begin to prepare our presentation. By 8, we've already got 16 slides. We decide to finalize our slides tomorrow morning.

Tomorrow is the show time!

Thursday, January 28, 2010

Thursday@Marin: day of preparations

Arriving bright and early we went to work on our To Do list.


Synchronizing the optimization code with the visualisation code. Deciding on what to do when the seas are too rough, so that the capacity of the thrusters is exceeded. And then also that most pressing of studygroup questions: who is willing to give the presentation on Friday? And how to keep the attention of the audience past the first 5 minutes? Well, we have got a great movie to show you and we will reveal how much money can be saved by replacing linear theory by nonlinear theory.

Wednesday@KEMA

We try to solve the problem stochasticly with stationary distributed patterns this morning. We take the expectation of the energy production as our objective function, and reformulate our constraints. Rather than imposing upper bounds for the absolute value of the currents, we require the probability that the absolute value of the currents exceed their upper bounds to be below a certain level. However, we realize that constructing the probability distributions for the currents from the power production and consumption patterns will be difficult, partly because of the correlation of power production at different locations. Another difficulty is that it is questionable that the production and consumption patterns are close to some known distributions (such as Gaussian). Monte-Carlo simulation may provide some useful information, but it could be quite time-consuming.

In the afternoon, we meet Mr. Bloemhof and discuss with him about some of our results and our doubts. We realize that power production can not go beyond the capacity because of the safety issues, so the distributions will not have long tails.

After one day inspirational work, we go to the "Polder" and have some drinks together. The dinner later on are quite good.

Wednesday, January 27, 2010

Wednesday@Marin: day of visualisation

This morning half of our group had mysteriously disappeared. Or were they hiding in the library?


On the other hand, Ed from Marin unexpectedly showed up in the morning and we had a lot to discuss. As it turned out, yesterday's code encountered some problems (under more severe weather conditions), so we had hit on a nice new problem: what strategic decision to take when the required constraints cannot possibly be met? Another major point was visualisation. Ed was very specific about what he wanted to see, so one of us spent the entire afternoon on implementing Ed's vision. Everybody will be able to see the results on Friday. In the mean time, Lagrange's multiplier method was revived as an alternative to the black-box and houtje-touwtje approaches. Still lots of work to be done tomorrow!




Phytocare on Wednesday

Not much to write... Each group pursued their paths: more literature search, more modelling, some numerics and some analysis. We had some intermediate exchange about the state, news and how to continue tomorrow.

More SWI2010 Photos on a Picasa Web Album

Dear Participants and other Blog-Visitors,

Please note that more photos of SWI2010 can be found at (and will be put on) Picasa:
http://picasaweb.google.com/SWI2010CWI

The SWI-2010 organizing committee
Arnoud den Boer, Joost Bosman, Niek Bouman, Jason Frank, Rob van der Mei, Chrétien Verhoef

A note to the participants: You can upload your own photos to the SWI2010 Picasa Web Album, by logging in to Picasa with the same credentials as for the weblog.

Dynamic behavior of meat mass flow (27 Jan 2010)

We argued about the previous model obtained by group. The model is now better. Furthermore, we have obtained a dynamical model of meat mass flow for the unstable regime. As next step, we are trying to calculate an approximate solution of the obtained system of two coupled time-dependent nonlinear PDEs.