A mathematician analyzed 150 years of women’s fashion to understand 20-year trend cycles, and how “optimal distinctiveness” dives change.

Learn how to find the inverse of a linear function. A linear function is a function whose highest exponent in the variable(s) ...

Anyone with a chronic illness understands the struggle of living with a disease that is deeply unpredictable. Many such ...

👉 Learn how to graph quadratic equations in vertex form. A quadratic equation is an equation of the form y = ax^2 + bx + c, where a, b and c are constants. The graph of a quadratic equation is in the ...

During the pandemic, Rishik Shenolikar offered to help tutor neighborhood kids in his garage. It was a small group of elementary schoolers, and he used a mental math book that intrigued him. He helped ...

Remainder. Product. Algorithm. Ordered pair. Seemingly jargony words and phrases like these, referring to specific math concepts, might seem complex for elementary school students to grasp. But ...

The Hechinger Report covers one topic: education. Sign up for our newsletters to have stories delivered to your inbox. Consider becoming a member to support our nonprofit journalism. Students, parents ...

Students, parents and school principals all instinctively know that some teachers are better than others. Education researchers have spent decades trying — with mixed success — to calculate exactly ...

This year has seen some amazing advancements in fundamental mathematics. Researchers have made breakthroughs in geometry, topology, chaos theory, and more. And a startling three of our top 10 ...

In late 2021, as the housing market overheated and the Federal Reserve’s benchmark interest rate hovered near zero, Tony Yang found an unconventional way to fund his down payment. He logged into his ...

Descriptive set theorists study the niche mathematics of infinity. Now, they’ve shown that their problems can be rewritten in the concrete language of algorithms. All of modern mathematics is built on ...

Researchers at the University of California, Los Angeles (UCLA) have developed an optical computing framework that performs large-scale nonlinear computations using linear materials. Reported in ...