Results 41 to 50 of about 2,320,712 (255)
Chebyshev wavelet-based method for solving various stochastic optimal control problems and its application in finance [PDF]
In this paper, a computational method based on parameterizing state and control variables is presented for solving Stochastic Optimal Control (SOC) problems.
M. Yarahmadi, S. Yaghobipour
doaj +1 more source
Optimal Stochastic Enhancement of Photoionization [PDF]
The effect of noise on the nonlinear photoionization of an atom due to a femtosecond pulse is investigated in the framework of the stochastic Schrödinger equation. A modest amount of white noise results in an enhancement of the net ionization yield by several orders of magnitude, giving rise to a form of quantum stochastic resonance.
Singh, K., Rost, J.
openaire +4 more sources
Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization [PDF]
Using quasi-Newton methods in stochastic optimization is not a trivial task given the difficulty of extracting curvature information from the noisy gradients. Moreover, pre-conditioning noisy gradient observations tend to amplify the noise.
Espath, Luis +2 more
core +1 more source
Optimization with Stochastic Dominance Constraints [PDF]
The paper refers to a model regarding the investment of a number of capital assets in order to obtain under the random returns of assets some desirable characteristics of the total return on the investment. The model is a stochastic optimization problem involving stochastic dominance constraints.
Darinka Dentcheva, Andrzej Ruszczyński
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Stochastic approximation for optimization in shape spaces
In this work, we present a novel approach for solving stochastic shape optimization problems. Our method is the extension of the classical stochastic gradient method to infinite-dimensional shape manifolds.
Geiersbach, Caroline +2 more
core +1 more source
Plasma membranes contain dynamic nanoscale domains that organize lipids and receptors. Because viruses operate at similar scales, this architecture shapes early infection steps, including attachment, receptor engagement, and entry. Using influenza A virus and HIV‐1 as examples, we highlight how receptor nanoclusters, multivalent glycan interactions ...
Jan Schlegel, Christian Sieben
wiley +1 more source
Replication Data for: eSLP optimization algorithm
m-files implementing the eSLP optimization algorithm for the three simulations (3.1. - 3.3.) described in the associated paper. File README.txt contains analytical directions regarding requirements, how to verify the results and videos generated by the ...
Optimization, eSLP
core +1 more source
Lyapunov-Guided Energy Scheduling and Computation Offloading for Solar-Powered WSN
To satisfy the continuously high energy consumption and high computational capacity requirements for IoT applications, such as video monitoring, we integrate solar harvesting and multi-access edge computing (MEC) technologies to develop a solar-powered ...
Juan Gao, Runze Wu, Jianhong Hao
doaj +1 more source
The optimality of (stochastic) veto delegation
We analyze the optimal delegation problem between a principal and an agent, assuming that the latter has state-independent preferences. We demonstrate that if the principal is more risk-averse than the agent toward non-status quo options, an optimal mechanism is a {\em veto mechanism}. In a veto mechanism, the principal uses veto (i.e., maintaining the
Xiaoxiao Hu, Haoran Lei
openaire +2 more sources
Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang +2 more
wiley +1 more source

