Results 61 to 70 of about 1,536 (163)

Random differential equations with discrete delay [PDF]

open access: yes, 2019
[EN] In this article, we study random differential equations with discrete delay with initial condition The uncertainty in the problem is reflected via the outcome omega. The initial condition g(t) is a stochastic process.
Calatayud-Gregori, Julia   +2 more
core   +1 more source

Catholic Values and Gender Politics in the Colombian Mass Media: Acción Cultural Popular (ACPO) in the 1970s

open access: yesGender &History, EarlyView.
ABSTRACT The 1970s were a decade of huge change for women in Colombia, from the legalisation of divorce to increased access to education, labour market participation and contraception. This article examines how the Catholic non‐governmental organisation Acción Cultural Popular (Popular Cultural Action, ACPO) responded to women's changing roles and ...
Anna Cant
wiley   +1 more source

Optimal feedback control of undamped wave equations by solving a HJB equation

open access: yes, 2014
International audienceAn optimal fi nite-time horizon feedback control problem for (semi linear) wave equations is presented. The feedback law can be derived from the dynamic programming principle and requires to solve the evolutionary Hamilton-Jacobi ...
Hasnaa Zidani   +5 more
core   +1 more source

Measure‐valued processes for energy markets

open access: yesMathematical Finance, Volume 35, Issue 2, Page 520-566, April 2025.
Abstract We introduce a framework that allows to employ (non‐negative) measure‐valued processes for energy market modeling, in particular for electricity and gas futures. Interpreting the process' spatial structure as time to maturity, we show how the Heath–Jarrow–Morton approach can be translated to this framework, thus guaranteeing arbitrage free ...
Christa Cuchiero   +3 more
wiley   +1 more source

Inertial manifolds in biological systems [PDF]

open access: yes, 2009
The focus of this thesis is biological systems whose dynamics present an interesting feature: only some dimensions drive the whole system. In our examples, the dynamics is expressed as ODEs, such that the ith equation depends on all the variables xi = f (
Iannelli, P, Iannelli, P.
core  

A Grobman-Hartman Theorem for Control Systems

open access: yes, 2007
http://www.springerlink.comInternational audienceWe consider the problem of locally linearizing a control system via topological transformations. According to [2, 3], there is no naive generalization of the classical Grobman-Hartman theorem for ODEs to ...
Chyba, Monique   +2 more
core   +1 more source

Numerical approximations of second-order matrix differential equations using higher-degree splines [PDF]

open access: yes, 2015
Many studies of mechanical systems in engineering are based on second-order matrix models. This work discusses the second-order generalization of previous research on matrix differential equations dealing with the construction of approximate solutions ...
Solis Lozano, Francisco Javier   +3 more
core   +1 more source

Perpetual Futures Pricing

open access: yesMathematical Finance, Volume 36, Issue 3, Page 481-499, July 2026.
ABSTRACT Perpetual futures are contracts without expiration date in which the anchoring of the futures price to the spot price is ensured by periodic funding payments from long to short. We derive explicit expressions for the no‐arbitrage price of various perpetual contracts, including linear, inverse, and quantos futures in both discrete and ...
Damien Ackerer   +2 more
wiley   +1 more source

Navigating Supply Shocks: Sector Resilience and Production Prices Through Stochastic Input–Output Modeling

open access: yesMathematical Finance, EarlyView.
ABSTRACT This study develops a novel multivariate stochastic framework for assessing systemic risks, such as climate and nature‐related shocks, within production or financial networks. By embedding a linear stochastic fluid network, interpretable as a generalized vector Ornstein–Uhlenbeck process, into the production network of interdependent ...
Giovanni Amici   +3 more
wiley   +1 more source

Kinetic parameter prediction using neural networks identifies limitations to C4 photosynthesis

open access: yesNew Phytologist, EarlyView.
Schematic overview of the generation of artificial training data and training of neural networks in C4TUNE. Summary Kinetic models of photosynthesis enable time‐resolved predictions of traits related to this key process and provide the means to identify factors limiting photosynthesis.
Philipp Wendering   +4 more
wiley   +1 more source

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