Results 171 to 180 of about 332,668 (285)
On an Asymptotic Formula of Ramanujan.
Suryanarayana, D., Rama Chandra Rao, R.
openaire +2 more sources
End‐to‐End Portfolio Optimization with Hybrid Quantum Annealing
This works presents a hybrid quantum‐classical framework for portfolio optimization that combines quantum assisted asset selection and rebalancing with classical weight allocation. The approach processes real market data, embeds it into Quadratic Unconstrained Binary Optimization formulations, and evaluates performance within a unified workflow ...
Sai Nandan Morapakula +5 more
wiley +1 more source
Generating Function for Quantum Depletion of Bose-Einstein Condensates. [PDF]
Rademacher S.
europepmc +1 more source
Representative Random Sampling of Chemical Space. [PDF]
Monterrubio-Chanca DJ, von Rudorff GF.
europepmc +1 more source
ABSTRACT This paper develops a framework for designing output feedback controllers for constrained linear parameter‐varying systems that experience persistent disturbances. We specifically propose an incremental parameter‐varying output feedback control law to address control rate constraints, as well as state and control amplitude constraints.
Jackson G. Ernesto +2 more
wiley +1 more source
Extreme Values and Convergence of the Voronoi Entropy for 2D Random Point Processes and for Long-Range Order. [PDF]
Frenkel M +4 more
europepmc +1 more source
Optimal Homogeneous ℒp$$ {\boldsymbol{\mathcal{L}}}_{\boldsymbol{p}} $$‐Gain Controller
ABSTRACT Nonlinear ℋ∞$$ {\mathscr{H}}_{\infty } $$‐controllers are designed for arbitrarily weighted, continuous homogeneous systems with a focus on systems affine in the control input. Based on the homogeneous ℒp$$ {\mathcal{L}}_p $$‐norm, the input–output behavior is quantified in terms of the homogeneous ℒp$$ {\mathcal{L}}_p $$‐gain as a ...
Daipeng Zhang +3 more
wiley +1 more source
Improved Semiclassical Quantization of Bound States. [PDF]
Pollak E.
europepmc +1 more source
The role of identification in data‐driven policy iteration: A system theoretic study
Abstract The goal of this article is to study fundamental mechanisms behind so‐called indirect and direct data‐driven control for unknown systems. Specifically, we consider policy iteration applied to the linear quadratic regulator problem. Two iterative procedures, where data collected from the system are repeatedly used to compute new estimates of ...
Bowen Song, Andrea Iannelli
wiley +1 more source
Solving the coupled Gerdjikov-Ivanov equation via Riemann-Hilbert approach on the half line. [PDF]
Hu J, Dong H, Zhang N.
europepmc +1 more source

