👉 Custom math refers to the ability to extend or modify the standard mathematical operations and functions within a programming language, enabling developers to create specialized mathematical models tailored to specific applications or problems. This is achieved by defining custom operators, functions, and even new mathematical structures that go beyond the built-in ones. For example, a developer might create a custom function to calculate complex financial derivatives or define a new operator for vector addition in a physics simulation. By doing so, custom math allows for more precise and efficient problem-solving in areas like machine learning, scientific computing, and engineering, where domain-specific mathematical requirements are crucial. This flexibility is made possible through language features such as operator overloading, domain-specific languages (DSLs), or by leveraging existing libraries that support custom implementations.
