Yahoo

Girls and boys solve math problems differently – with similar short-term results but different long-term outcomes

Add Yahoo as a preferred source to see more of our stories on Google. Math teachers have to accommodate high school students' different approaches to problem-solving. RJ Sangosti/MediaNews Group/The ...
Interesting Engineering

Century-old math puzzle that stumped top supercomputers solved by quantum computing

Researchers have successfully used a quantum algorithm to solve a complex century-old mathematical problem long considered impossible for even the most powerful conventional supercomputers. The ...
C&EN

Novel Mixed-Integer Linear Programming Model for the Multiproduct Pipeline Network Scheduling Problem

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
C&EN

A Mixed-Integer Programming Approach to Optimal Operations of Drinking Water Treatment Plant with Verification on an Industrial Site

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. You are free to share(copy and redistribute) this ...
Wired

A New Quantum Algorithm Speeds Up Solving a Huge Class of Problems

The original version of this story appeared in Quanta Magazine. For computer scientists, solving problems is a bit like mountaineering. First they must choose a problem to solve—akin to identifying a ...
marktechpost

This Research Paper Discusses Space-Efficient Algorithms for Integer Programming with Few Constraints

Integer Linear Programming (ILP) is the foundation of combinatorial optimization, which is extensively applied across numerous industries to resolve challenging decision-making issues. Under a set of ...
Inc

Starbucks Leadership: ‘Everything Is Fine.’ Starbucks Customers: ‘Where’s My Coffee?’

I’m not a coffee drinker, so I rarely visit a Starbucks. But I can tell you that this is a classic case of how relying too much on technology becomes a problem. Technology is often cheaper than ...
marktechpost

REBEL: A Reinforcement Learning RL Algorithm that Reduces the Problem of RL to Solving a Sequence of Relative Reward Regression Problems on Iteratively Collected Datasets

Initially designed for continuous control tasks, Proximal Policy Optimization (PPO) has become widely used in reinforcement learning (RL) applications, including fine-tuning generative models. However ...