Abstract: The sparsity-regularized linear inverse problem has been widely used in many fields, such as remote sensing imaging, image processing and analysis, seismic deconvolution, compressed sensing, ...

Abstract: Reasonable allocation and utilization of resources in modern industrial production is the key to improve production efficiency and reduce costs. As an effective mathematical optimization ...

There’s been interest recently here in the land of Design Ideas (DIs) in a family of simple interface circuits for pulse width modulation (PWM) control of generic voltage regulators (both linear and ...

In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

This project demonstrates a simple linear regression model with a web interface built using Streamlit. Users can modify parameters such as the slope (a), intercept (b), noise level, and the number of ...

AI is changing how software engineers work by automating routine tasks and enhancing creativity. Engineers will need new skills like AI governance and machine learning to remain relevant.

In a world obsessed with linear career paths, Sharadha Kodadi’s story is a powerful testament to the power of a curi ...

Artificial intelligence has taken many forms over the years and is still evolving. Will machines soon surpass human knowledge and understanding?

In a contest designed to test the limits of the world’s best student programmers, an advanced version of Gemini 2.5 Deep Think did what no university team could, by cracking a problem that remained ...