Behind every powerful AI model lies a world of mathematics—linear algebra, calculus, probability, and more—that makes it all work. Understanding these concepts bridges the gap between theory and ...

Mathematical modeling is the process of developing mathematical descriptions, or models, of real-world systems. These models can be linear or nonlinear, discrete or continuous, deterministic or ...

Linear algebra is the hidden language of artificial intelligence, powering everything from neural networks to dimensionality reduction. Mastering concepts like vectors, matrices, eigenvalues, and ...

A survey of contemporary topics in mathematics such as: voting systems and power, apportionment, fair division of divisible and indivisible assets, efficient distribution, scheduling and routing, ...

The whole picture of Mathematical Modeling is systematically and thoroughly explained in this text for undergraduate and graduate students of mathematics, engineering, economics, finance, biology, ...

In recent years, artificial intelligence has become more accessible than ever before. Powerful libraries, automated platforms ...

You can probably think of a time when you’ve used math to solve an everyday problem, such as calculating a tip at a restaurant or determining the square footage of a room. But what role does math play ...

A famous Vietnamese mathematician has said that current math teaching and learning reveal two major bottlenecks: curricula ...