GLENDALE, Ariz. — Chicago White Sox infielder Curtis Mead collected the first hit of the World Baseball Classic with a first-inning single March 5 for Team Australia against Chinese Taipei at the ...

In the months following Elon Musk’s $44 billion acquisition of Twitter in 2022, my experience with the platform (and perhaps yours too) got quickly, dramatically worse. My algorithmic timeline, better ...

On a Sunday morning filled with all kinds of emotion, American Breezy Johnson won the women’s Olympic downhill race. It was the first gold medal of Johnson’s career and the first awarded to the United ...

The finals for the Women’s Downhill Alpine Skiing competition at the 2026 Winter Olympics in Milan Cortina are already about to take place. Lindsey Vonn, who recently tore her ACL, will be competing ...

In less time than it takes to blink, Breezy Johnson eked out the United States’ first gold medal of these Winter Games with a blistering run down the Cortina d’Ampezzo women’s downhill. After a ...

It was an emotional final Olympic downhill for Truckee's three-time Olympian Bryce Bennett—and his family was there every second of the way. The 33-year-old skier came in 13th place in the men’s ...

Editor's note: Lindsey Vonn shared an injury update on Feb. 13, detailing she will need two more surgeries following three she has already undergone. CORTINA D’AMPEZZO, Italy — Next time we see ...

Vonn finished another training run with a few technical issues but no apparent injury difficulties. The women's downhill is scheduled for Sunday. François-Xavier MARIT / AFP via Getty Images CORTINA D ...

Lindsey Vonn passed her first test of the 2026 Winter Olympics on Friday morning when she completed her first downhill training run just a week after tearing her ACL. Whatever happens at the Milan ...

CORTINA D'AMPEZZO, Italy — Lindsey Vonn did exactly what she needed to do. Vonn was 11th in the first official training run at the 2026 Milano Cortina Winter Olympics on Friday, Feb. 6, with a time of ...

Abstract: The Nelder-Mead simplex method is a well-known algorithm enabling the minimization of functions that are not available in closed-form and that need not be differentiable or convex.