Abstract: We develop a numerically efficient algorithm for computing controls for nonlinear systems that minimize a quadratic performance measure. We formulate the optimal control problem in ...

Abstract: It has always been a challenging task to develop a fast and an efficient incremental linear discriminant analysis (ILDA) algorithm. For this purpose, we conduct a new study for linear ...

These implementations are for demonstration purposes. They are less efficient than the implementations in the Python standard library.

The Decision & Action Layer translates fused predictions into concrete actions. The Decision Engine performs inference, ...

A secondary purpose of this repository is to provide a generalized graph API that enables implementation of a very wide range of in-memory graph algorithms including basic methods for reading, writing ...

Cook County's machine-learning tax model made assessments fairer, yet homeowner bills soared. The appeals system, not the algorithm, is the culprit.

Siteline tested a Claude agent on top B2B products. When it couldn't find the prices, it often turned to third-party sources ...

This annex includes 3 diskettes containing source code and test sequences for implementation verification of the algorithm of the G.729 reduced complexity 8 kbit/s CS-ACELP speech coder Superseded ...

Post-quantum cryptography military deadline: the Department of War’s first PQC strategy sets a binding 2031 mandate for every ...

People use their bodies—not just their brains—to think. So the MIT Project on Embodied Education brings movement to the ...