Results 101 to 110 of about 108,734 (233)

A novel dual‐decomposition method for non‐convex two‐stage stochastic mixed‐integer quadratically constrained quadratic problems

International Transactions in Operational Research, EarlyView.
Abstract We propose the novel p‐branch‐and‐bound method for solving two‐stage stochastic programming problems whose deterministic equivalents are represented by non‐convex mixed‐integer quadratically constrained quadratic programming (MIQCQP) models. The precision of the solution generated by the p‐branch‐and‐bound method can be arbitrarily adjusted by
Nikita Belyak, Fabricio Oliveira
wiley   +1 more source

Boosting quantum annealing performance through direct polynomial unconstrained binary optimization [PDF]

Quantum Science and Technology
Quantum annealing aims at solving optimization problems of practical relevance using quantum-computing hardware. Problems of interest are typically formulated in terms of quadratic unconstrained binary optimization (QUBO) Hamiltonians.
Sebastian Nagies, Kevin T. Geier, Javed Akram, Dimitrios Bantounas, Michael Johanning, Philipp Hauke   +5 more
semanticscholar   +1 more source

Financial Fragility and the Fiscal Multiplier

Journal of Money, Credit and Banking, EarlyView.
Abstract We show that undercapitalized banks with large holdings of government bonds subject to sovereign default risk lead to a new crowding‐out channel: deficit‐financed fiscal stimuli lead to higher bond yields, triggering capital losses for the banks. Banks then cut back loans, which reduces fiscal multipliers.
CHRISTIAAN VAN DER KWAAK, SWEDER VAN WIJNBERGEN   +1 more
wiley   +1 more source

On the Complexity of Local Search in Unconstrained Quadratic Binary Optimization [PDF]

SIAM Journal on Optimization, 2016
Comment: Minor update in 2016: simplified ...
openaire   +2 more sources

Multi-Objective Portfolio Optimization Using a Quantum Annealer

Mathematics
In this study, the portfolio optimization problem is explored, using a combination of classical and quantum computing techniques. The portfolio optimization problem with specific objectives or constraints is often a quadratic optimization problem, due to
Esteban Aguilera, Jins de Jong, Frank Phillipson, Skander Taamallah, Mischa Vos   +4 more
doaj   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, EarlyView.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

Solving Standard and Generalized EMPM Eigenvalue Problems: A QUBO Approach for the D-Wave Quantum Annealer [PDF]

EPJ Web of Conferences
Within the Equation of Motion Phonon Method (EMPM) framework, we address the computation of the ground-state eigenpair of nuclear Hamiltonians by reformulating the eigenvalue problem as a Quadratic Unconstrained Binary Optimization (QUBO).
De Gregorio G., De Lucia C., Martone A., D’Aniello F.A., Mastroianni A., Nunziata G., Knapp F., Iudice N. Lo, Veselý P.   +8 more
doaj   +1 more source

Understanding Desired Greater Collaboration Ties: Tie‐Strengthening and Bypassing Approaches for Managing Formal Workflow Network Dependencies

Personnel Psychology, EarlyView.
ABSTRACT Whereas organizational network studies infer employees’ agentic desires through observed network changes, we capture desires to collaborate more closely with co‐workers directly through a survey. We argue that formal structures create workflow dependencies between employees as they gather others’ inputs to complete their tasks, and individuals
Seong Won Yang, Giuseppe (Joe) Labianca, James A. Coutinho, Andrew Pilny, Daniel J. Brass, Carlo J. Labianca   +5 more
wiley   +1 more source

Why raw yield data are better than relative yield in informing agronomic and economic decisions

Agricultural &Environmental Letters, Volume 11, Issue 1, June 2026.
Abstract While relative yield is widely used for its comparability, normalization can cause significant information loss. This study reframes yield metric selection as a model evaluation problem to determine the most accurate representation of crop response. We evaluated seven yield metrics with three agronomic models, comparing estimates of a critical
Falin Sun, Wenying Li, Joshua M. Duke, Joshua M. McGrath, Vaughn Reed   +4 more
wiley   +1 more source

Dual Variational Problems and Action Principles for Chen–Lee and Hopf–Langford Systems

Mathematical Methods in the Applied Sciences, Volume 49, Issue 4, Page 2456-2462, 15 March 2026.
ABSTRACT We describe the construction of dual variational principles and action functionals for nonlinear dynamical systems using a methodology based on the dual Lagrange multiplier formalism and a convex optimization approach, to derive families of dual actions that correspond to the given nonlinear ordinary differential system.
A. Ghose‐Choudhury, Partha Guha
wiley   +1 more source