# Category Archives: Math

## MH370 and Bayesian reasoning: example of SAR optimization

In two previous posts, [1,2] I’ve covered the fundamentals of Bayesian probability theory.  The second post looked into how the air distaster investigation team might have proceeded, once they received Inmarsat’s satellite data, to assess the likelihood of the flight path … Continue reading

## Bayesian reasoning and SAR for flight MH370

I covered the basics of Bayesian reasoning in a previous post. So, let’s apply Bayesian reasoning to the search & rescue operation of flight MH370. As we now know, Inmarsat’s identification of the most likely path taken by MH370, by … Continue reading

## Bayesian reasoning made simple by Golden Retrievers and other canines

Just finished reading Brian Clegg’s excellent ‘Dice World – science and life in a random universe‘. Highly recommended to anyone who’s interested in the inherent unpredictability of our world, and even more highly recommended to all those empty … Continue reading

## Python image processing – object recognition

When looking for a function enabling me to do normalized cross correlation of images, for purposes of object recognition, I stumbled upon an extension to the SciPy library: SciKit-image. After a few minutes of browsing that site I was able … Continue reading

## Image processing with Python, Numpy & Scipy – image convolution

I spent a few hours tonight learning the basics of image processing. In particular, I wanted to understand convolution, that is, a techique for applying various types of filters to images. I’m not going to cover all the nitty gritty … Continue reading

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## Optimization: 100x performance boost (even without DevOps!) :-)

(First of all, apologies for the mention of ‘DevOps’ above:this post has, as far as I can tell – since I really don’t know what DevOps is, haven’t found any place where to download it… – nothing what so ever … Continue reading

Posted in development, Math, software | | 1 Comment

## Python – plotting with different scales

Ever wondered whether the data set you are dealing with is governed by a power law, or by some other distribution…? A quick and easy way to assess whether your data conforms to a power law is to plot the … Continue reading