Abstract: This article analyzes the stability of probabilistic Boolean networks (PBNs) with switching discrete probability distribution (DPD). First, the dynamics of PBNs with switching DPD is ...

But there is a strong push for Indian Knowledge Systems, as evident from the addition of courses on Kala Ganana (traditional Indian time keeping), Bharatiya Bijganit (Indian algebra), Shulva Sutra ...

Mathematics education in India must stay strongly focused on areas that directly contribute to employability, research ...

A discrete random variable is a type of random variable that can take on a countable set of distinct values. Common examples include the number of children in a family, the outcome of rolling a die, ...

The mathematics behind artificial intelligence (AI) and machine learning (ML) rely on linear algebra, calculus, probability, and statistics. These provide the foundation for developing the needed ...

Hybrid delivery: sessions held in-person and online on alternate weeks. This foundational module introduces core mathematical concepts essential for computing, data science, and algorithm development.

We draw six conclusions from the data. First, 198 of the 199 degrees analyzed require discrete math be taken at some point in the degree. i However, the results shown in Table 2 illustrate that there ...

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Cumulative probability is an essential concept in the world of statistics and probability theory. It refers to the likelihood that a random variable will take a value equal to or less than a specific ...

Students are expected to be familiar with the following concepts. While some of this material will be reviewed in class, students are ultimately responsible for acquiring any background knowledge they ...