People often refer to Kadane’s algorithm only in the context of the maximum subarray problem. However, the idea behind this algorithm allows one to use it for solving a variety of problems that have something to do with finding a continuous subarray with a given property. The algorithm can also be used in 2d or multidimensional arrays but in this post we will only consider regular one-dimensional arrays.

As already discussed in the previous post, any radix-b number `n`

with `n \bmod{m} \in E \subseteq Z`

can be accepted by finite automata in a digit-by-digit manner. However, the construction is not always optimal. The amount of states required is not always the amount of congruence classes. In this post we will examine when exactly the finite automata can be simplified by combining states. Reducing the amount of states will also help produce a much simpler regular expression, for example, with the Kleene construction.

In this post we will consider natural Radix-b numbers in positional number systems. The congruence class of any such arbitrary natural number can be determined by a finite automata, and thus, intuitively speaking, the language of all Radix-b numbers that satisfy some fixed properties modulo b is regular.

Typical implementation of the extended Euclidean algorithm on the internet will just iteratively calculate modulo until 0 is reached. However, sometimes you also need to calculate the linear combination coefficients for the greatest common divisor.

Buffer overflows are a kind of call stack vulnerability that occur when buffers are created on the stack, but accessed improperly. Buffer underruns are typically not so dangerous, because writing in the current stack frame or beyond the stack pointer will only affect local variables on that stack frame. On the other side, buffer overruns can allow the attacker to overwrite the return address and thus even modify the program’s behaviour.

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