context free – Design a CFG that generates the language { x in {a,b}* | the length of x is odd and its middle symbol is a b }

I am trying to design a context-free grammar that generates the language { x in {a,b}* | the length of x is odd and its middle symbol is a b }.

This is really confusing me, I’m having trouble with making sure that b is always in the middle. Any help?

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c# – Is an iOS development license with Unity free?

I’m coding in Unity Personal and I’m going to try to put my game onto the App Store (through the Unity –> XCode –> App Store process). In the past, Unity has charged money to get a iOS license for this. The price was $400 I believe. I’ve certain articles that say that it has changed, and some that say it still costs money. So, I’m not sure which one is true. Is creating and publishing a commercial game with Unity Personal now free? (meaning that there is no license required). If there is a price, how much is it, and is it a one-time fee or per month/year/game published etc. Thanks! Also, can I legally make money with this game using the Unity Personal?

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algorithms – Method for combining derivative free optimization results of different data inputs

I am working on an algorithm that has multiple fixed parameters. The algorithm analyzes time series data and spits out a number. The fixed parameters need to be such that this number is as small as possible.

What I found, is that when optimizing the parameters for a specific time period, these parameters don’t necessarily work well when used on another time period.

The way I see it, is that there are two possible solutions to this problem:

  1. use a longer time period when optimizing the parameters
  2. find a method of combining the optimal parameters for different time periods, such that these “averaged” parameters work well on all time periods

Option 1. would be incredibly expensive in terms of computational time. And although it makes intuitive sense that this should fix the problem, I am not sure that this would indeed be the case.

Option 2. reminds me of training neural networks, where one would feed in a large number of “data points” and somehow take a (weighted) average of the results to find a set of parameters that work well for all data points. Unfortunately, I know very little to nothing about the algorithms used for this kind of optimization/learning.

Any help or suggestions are greatly appreciated. Please let me know if there is anything you’d like me to expand upon.

Thanks!

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