👉 Device math, also known as embedded or embedded computing math, is a specialized area of computer science focused on optimizing mathematical computations for devices with limited processing power, memory, and energy resources, such as microcontrollers, sensors, and wearables. It involves developing efficient algorithms and data structures tailored to these constraints, enabling devices to perform complex mathematical operations like signal processing, machine learning, and control systems in real-time. By minimizing computational overhead, reducing power consumption, and leveraging hardware-specific optimizations (e.g., fixed-point arithmetic, parallel processing), device math ensures reliable and efficient performance in resource-constrained environments, critical for applications like IoT, robotics, and embedded systems.
