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PDLP (Primal-Dual Hybrid Gradient Enhanced for LP): A New FOM–based Linear Programming LP Solver that Significantly Scales Up Linear Programming LP Solving Capabilities
Linear programming (LP) solvers are crucial tools in various fields due to their ability to optimize complex problems.
Are plane crashes actually happening more frequently?
"If you see a little kid at a US airport, he or she is five times as likely to grow up to be president of the US as to perish on the flight."
Want to debunk conspiracy theories? Try AI.
"Conspiratorial rabbit holes may indeed have an exit."
Unlocking the power of data monetization and AI-driven business transformation
"Within the past decade, using data to improve the financial health of the organization became a must."
Will we squander the AI opportunity?
"AI will move in a pro-human direction only if technologists, engineers, and executives work together with democratic institutions."
How should managers use AI for critical infrastructure risk management?
Michael Siegel and Ranjan Pal present four action items for using AI as a tool to improve APT cyber-risk management in critical infrastructure.
How leaders champion culture: Six essential lessons
"Only a handful of companies buck the trend and consistently walk the talk of their espoused core values, according to employee reviews."
Google’s PDLP solver revolutionizes linear programming problem solving efficiency
Researchers have developed an algorithm called PDLP, which improves the efficiency of solving large-scale linear programming (LP) problems.