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.

Lindsey Ellefson is Lifehacker’s Features Editor. She currently covers study and productivity hacks, as well as household and digital decluttering, and oversees the freelancers on the sex and ...

The original version of this story appeared in Quanta Magazine. In 1939, upon arriving late to his statistics course at UC Berkeley, George Dantzig—a first-year graduate student—copied two problems ...

No more struggling with sleeve plackets! This beginner-friendly method shows you the fastest and most efficient way to sew clean, professional-looking plackets in no time. Ohio sheriff takes defiant ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better. In 1939, upon arriving late to his statistics course at the ...

Invest in distressed properties, rehab them for equity, then rent for passive income using the BRRRR method. Ensure total purchase and rehab costs do not exceed 70% of the after repair value (ARV) to ...

A common problem in many domains is to optimize the weights for a mixture of K components. In this case the search space is a simplex. I didn't see this covered in the tutorials/docs (apologies if it ...

The internet became a thing just over four decades ago, and has now transformed into an essential service that connects billions of people worldwide. Every major industry, including healthcare, ...

Standard computer implementations of Dantzig's simplex method for linear programming are based upon forming the inverse of the basic matrix and updating the inverse ...

Abstract: An adaptive spherical simplex radial cubature information filter-based phase unwrapping (ASSRCIFPU) method is introduced. First, the ASSRCIF method with adaptive adjustment of observation ...