Modern semiconductor chip design faces growing complexity due to numerous timing scenarios driven by varying operating ...

Qlik® announced the general availability of its Multivariate Time Series (MVTS) capability in Qlik Predict™, bringing ...

Introduction: We present Quantum Adaptive Search (QAGS), a hybrid quantum-classical algorithm for global optimization of multivariate functions. The method employs an adaptive mechanism that ...

Implementation of numerical optimization algorithms in MATLAB, including derivative-free and gradient-based methods for unconstrained problems, and projection techniques for constrained optimization.

Artificial intelligence (AI) is playing a huge role in heat rate optimization. In some cases, AI-driven models have analyzed operational data to recommend control settings that reduce heat rates by ...

The article debunks the common belief that trial-and-error improvements equate to true optimization. It provides a deep dive into how RTO works—from mathematical ...

Abstract: A simplified MIMO constrained controller is proposed. Based on the steady-state prediction of system outputs, the controller combines steady-state optimization and dynamic control ...

We tackle the problem of high-dimensional nonparametric density estimation by taking the class of log-concave densities on ℝp and incorporating within it symmetry assumptions, which facilitate ...

Abstract: In this paper, a new constrained multivariable predictive control strategy based on T-S modeling approach and Particle Swarm Optimization is considered. The proposed method determines the ...