We propose a new trust region algorithm for nonlinear constrained optimization problems. In each iteration of our algorithm, the trial step is computed by minimizing a quadratic approximation to the ...

A line of engineering research seeks to develop computers that can tackle a class of challenges called combinatorial optimization problems. These are common in real-world applications such as ...

Did you consider yourself a mathematician the last time you sat down to solve a Sudoku puzzle? It’s certainly a mentally ...

Forget funnels. Today’s customer journeys are fractured, AI-driven, and nonlinear. Here’s why signal-based marketing is your ...

The constant scaling of AI applications and other digital technologies across industries is beginning to tax the energy grid ...

In the fast-evolving field of electronic systems design, engineers are under increasing pressure to deliver innovative, high-performance products within ever ...

Building an integrated "source-grid-load-storage" system (hereinafter referred to as the integrated system) in areas rich in ...

Forget quantum — neuromorphic AI could be the real disruptor, reshaping everything from medicine to warfare while cutting ...

This is a preview. Log in through your library . Abstract This paper examines the identifiability of the coefficients of a single equation in a simultaneous equation model which is nonlinear only in ...

Carnegie Mellon University is helping define how artificial intelligence reshapes science — from accelerating discovery to scaling up new technologies. Ahead of the AI Horizons Summit, Barbara ...

Quantum computers that were previously limited to theoretical physics now learn to discover patterns, optimize decisions and ...