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.

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. Trump adopts new nickname ...

Abstract: Endmember extraction is very important in hyperspectral image analysis. The accurate identification of endmembers enables target detection and classification and efficient spectral unmixing.

Learn the easiest Photoshop techniques for beginners using a simple, underrated method that saves time and boosts creativity. Perfect for anyone starting out in design. #PhotoshopTutorial ...

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: This paper deals with linear programming techniques and their application in optimizing lecture rooms in an institution. This linear programming formulated based on the available secondary ...

Reflection was essential to the advanced Java toolkit for years. Now it's being superseded by newer, safer options. Here's how to use MethodHandle and VarHandle to gain programmatic access to methods ...

Despite decades of explosive growth in computing power, despite far more and deeper mathematical and computer science knowledge, despite far more scientists working in the field of algorithms, it is ...

Since its creation more than two decades ago by Daniel Spielman (above) and Shang-hua Teng, smoothed analysis has been used to analyze performance of algorithms other than the simplex method, ...