Results 61 to 70 of about 40,034 (267)

Saddle-Point Equilibrium Strategy for Linear Quadratic Uncertain Stochastic Hybrid Differential Games Based on Subadditive Measures

open access: yesMathematics
This paper describes a kind of linear quadratic uncertain stochastic hybrid differential game system grounded in the framework of subadditive measures, in which the system dynamics are described by a hybrid differential equation with Wiener–Liu noise and
Zhifu Jia, Cunlin Li
doaj   +1 more source

Ban Glyphosate—Does It Affect the Swedish Farmers' Willingness to Grow Cover Crops?

open access: yesApplied Economic Perspectives and Policy, EarlyView.
ABSTRACT The cultivation of cover crops is one of the new Eco‐scheme practices introduced in Sweden. This study examines how the design of policy attributes of these schemes influences farmers' willingness to grow cover crops on arable land, with particular focus on the potential impact of a glyphosate ban.
Vivian Wei Huang   +2 more
wiley   +1 more source

Markov Perfect Nash Equilibrium in stochastic differential games as solution of a generalized Euler Equations System [PDF]

open access: yes, 2008
This paper gives a new method to characterize Markov Perfect Nash Equilibrium in stochastic differential games by means of a set of Generalized Euler Equations.
Josa-Fombellida, Ricardo   +1 more
core  

Charting the Path to Increased Oil Palm Output in Ghana Beyond Area Expansion: Technology or Managerial Capacity — Which Leads the Way?

open access: yesAgribusiness, EarlyView.
ABSTRACT This study sets out to investigate the prospects for raising oil palm output in sub‐Saharan Africa, particularly Ghana, without further expansion of cropland. Given global concerns about oil palm's role in deforestation and land use change, the focus is on enhancing productivity on existing farmlands.
Jacob Asravor   +3 more
wiley   +1 more source

Centralized Versus Decentralized Team Games of Distributed Stochastic Differential Decision Systems with Noiseless Information Structures-Part II: Applications [PDF]

open access: yes, 2013
In this second part of our two-part paper, we invoke the stochastic maximum principle, conditional Hamiltonian and the coupled backward-forward stochastic differential equations of the first part [1] to derive team optimal decentralized strategies for ...
Ahmed, Nasir U.   +1 more
core  

Modeling the separation of water‐in‐oil emulsions in continuously fed gravity settlers using millifluidic experiments

open access: yesAIChE Journal, EarlyView.
Abstract Emulsion separation remains a persistent challenge in chemical and process industries due to the metastable nature of dispersed droplets. In gravity separators, the overall separation rate is governed by the formation of a densely packed zone (DPZ) of deforming and coalescing droplets that mediates between the dispersed and continuous phases ...
Andrei Zlobin   +8 more
wiley   +1 more source

Macrophage Phenotype Detection Methodology on Textured Surfaces via Nuclear Morphology Using Machine Learning

open access: yesAdvanced Intelligent Discovery, EarlyView.
A novel machine learning approach classifies macrophage phenotypes with up to 98% accuracy using only nuclear morphology from DAPI‐stained images. Bypassing traditional surface markers, the method proves robust even on complex textured biomaterial surfaces. It offers a simpler, faster alternative for studying macrophage behavior in various experimental
Oleh Mezhenskyi   +5 more
wiley   +1 more source

Stochastic optimal control and stochastic differential Games [PDF]

open access: yes, 2021
Η παρούσα διατριβή χωρίζεται σε δύο μέρη. Το πρώτο μέρος ξεκινάει με την κατασκευή μίας νέας προσέγγισης για την μελέτη του προβλήματος του καθορισμού της βέλτιστης επενδυτικής πολιτικής κάτω από την ύπαρξη εσωτερικής πληροφόρησης. Η προσέγγιση αυτή βασίζεται κυρίως σε τεχνικές της θεωρίας στοχαστικού ελέγχου και πιο συγκεκριμένα στην χρήση της ...
openaire   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong   +5 more
wiley   +1 more source

Motivation to Run in One-Day Cricket

open access: yesMathematics
This paper presents a novel approach to identify an optimal coefficient for evaluating a player’s batting average, strike rate, and bowling average, aimed at achieving an optimal team score through dynamic modeling using a path integral method ...
Paramahansa Pramanik, Alan M. Polansky
doaj   +1 more source

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