I like having some foundational understanding of the precise mathematical assumptions going into the model. My rough understanding is that we are constructing solutions to Navier-Cauchy equations by ...

NVIDIA's cuOpt leverages GPU technology to drastically accelerate linear programming, achieving performance up to 5,000 times faster than traditional CPU-based solutions. The landscape of linear ...

remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...

Nvidia CEO Jensen Huang caused a stir when he declared recently that kids no longer need to learn to code - AI will do that for us. “Over the last 10-15 years, almost everybody who sits on a stage ...

Integer linear programming can help find the answer to a variety of real-world problems. Now researchers have found a much faster way to do it. The traveling salesperson problem is one of the oldest ...

If you’re old enough, think back to the year 1999. I was at college then and I had an email account, but no cellphone on which to constantly check it. I mostly used my boxy desktop computer to type ...

Editorial Note: We earn a commission from partner links on Forbes Advisor. Commissions do not affect our editors' opinions or evaluations. Computer programming is the bedrock of the computer systems, ...

One of my favorite learning resources for gaining an understanding for the mathematics behind deep learning is “Math for Deep Learning” by Ronald T. Kneusel from No Starch Press. If you’re interested ...

For decades, coders wrote critical systems in C and C++. Now they turn to Rust. Many software projects emerge because—somewhere out there—a programmer had a personal problem to solve. That’s more or ...

Since its creation more than two decades ago by Daniel Spielman (above) and Shang-hua Teng, smoothed analysis has been used to analyze performance of algorithms other than the simplex method, ...