Results 111 to 120 of about 2,420 (204)
Optimal control combines state and adjoint equations, which yield the state (x$$ x $$) and adjoint (lambda) variables as a function of the control variables (u$$ u $$). This structure allows us to design strategies for iteratively updating the control variable, based on conjugate gradient (CG) or GMRES algorithms.
N. Armengou‐Riera +4 more
wiley +1 more source
Implicit third‐order Peer two‐step methods that are superconvergent for variable stepsizes have the potential to significantly improve the efficiency of solving large‐scale ODE‐constrained optimal control problems. These include real‐world applications in medical treatment planning for prostate cancer, such as the design of effective three‐dose drug ...
Jens Lang, Bernhard A. Schmitt
wiley +1 more source
Qubit‐Efficient Quantum Local Search for Combinatorial Optimization
We introduce a qubit‐efficient variational quantum algorithm for combinatorial optimization that adaptively uses from logarithmic to a linear number of qubits to implement quantum local search. The method encodes flip probabilities of spin groups into quantum amplitudes, enabling exploration of classically intractable neighborhoods while maintaining ...
Mikhail Podobrii +4 more
wiley +1 more source
This paper explores possible implementations of a quantum annealing-based algorithm, in the Quadratic unconstrained binary optimization method (QUBO) form, to solve the thermo-fluid dynamics problem associated with the design of critical components of ...
Giulio Malinverno, Javier Blasco Alberto
doaj +1 more source
A Comparative Study on Solving Optimization Problems With Exponentially Fewer Qubits
Variational quantum optimization algorithms, such as the variational quantum eigensolver (VQE) or the quantum approximate optimization algorithm (QAOA), are among the most studied quantum algorithms.
David Winderl +2 more
doaj +1 more source
On some features of quadratic unconstrained binary optimization with random coefficients
Abstract Quadratic Unconstrained Binary Optimization (QUBO or UBQP) is concerned with maximizing/minimizing the quadratic form $$H(J, \eta ) = W \sum _{i,j} J_{i,j} \eta _{i} \eta _{j}$$ H ...
Isopi, Marco +2 more
openaire +5 more sources
Abstract To elucidate the relationship between oxygen fugacities (fO2) recorded in martian basalts and redox processes in the martian interior, superliquidus 100‐kPa furnace experiments on a composition similar to Humphrey (Adirondack basalt) were conducted at variable fO2 and temperature. Quenched glasses were analyzed by EPMA, Mössbauer spectroscopy,
S. P. Aithala +2 more
wiley +1 more source
Optimal Job Design and Information Elicitation
ABSTRACT When managers rely on their subordinates for local information but cannot commit to how such information is used, the incentives for effort and information elicitation become intertwined. This incentive problem influences the firm's job design decision, that is, whether to assign all tasks in a job to one worker (“individual assignment”) or ...
Arijit Mukherjee +2 more
wiley +1 more source
Addressing ecological challenges from a quantum computing perspective
Abstract With increased access to data and the advent of computers, the use of statistical tools and numerical simulations is becoming commonplace for ecologists. These approaches help improve our understanding of ecological phenomena and their underlying mechanisms in increasingly complex environments.
Maxime Clenet +2 more
wiley +1 more source
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 +5 more
wiley +1 more source

