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Determining optimal formulations and operating conditions for Al2O3/water nanofluid flowing through a microchannel heat sink for cooling system purposes using …
M Abdollahi-Moghaddam, M Rejvani… - Thermal Science and …, 2018 - Elsevier
Adding the proper nanoparticles to the fluid will result in the enhancement of transfer rate in
a microchannel due to enhanced thermal conductivity of the working fluid, which inspired …
a microchannel due to enhanced thermal conductivity of the working fluid, which inspired …
[KSIĄŻKA][B] On Numerical Stochastic Optimal Control via Bellman's Dynamic Programming Principle
PO Aboagye - 2018 - search.proquest.com
In this work, we present an application of Stochastic Control Theory to the Merton's portfolio
optimization problem. Then, the dynamic programming methodology is applied to reduce the …
optimization problem. Then, the dynamic programming methodology is applied to reduce the …
Information and Deep Learning Resolution
C de Franco, J Nicolle, H Pham - Stochastic Analysis, Filtering …, 2022 - books.google.com
We study a discrete-time portfolio selection problem with partial informa-tion and maximum
drawdown constraint. Drift uncertainty in the multidimensional framework is modeled by a …
drawdown constraint. Drift uncertainty in the multidimensional framework is modeled by a …
Discrete-time portfolio optimization under maximum drawdown constraint with partial information and deep learning resolution
C De Franco, J Nicolle, H Pham - arxiv preprint arxiv:2010.15779, 2020 - arxiv.org
We study a discrete-time portfolio selection problem with partial information and maxi\-mum
drawdown constraint. Drift uncertainty in the multidimensional framework is modeled by a …
drawdown constraint. Drift uncertainty in the multidimensional framework is modeled by a …
Dynamic Optimization of Investment Portfolio under Liquidity with Taylor Extension of Value function
R FatehPour, M Hamidian… - … Journal of Nonlinear …, 2020 - ijnaa.semnan.ac.ir
Portfolio management is portfolio management created on behalf of the investor by the
financial assets to ensure maximum efficiency within the risk rate and duration set by the …
financial assets to ensure maximum efficiency within the risk rate and duration set by the …
Stochastic models in financial risk management
I Redeker - 2019 - opus4.kobv.de
This thesis is concerned with stochastic models to manage financial risks. The first part deals
with market risk and considers an investor facing a classical portfolio problem of optimal …
with market risk and considers an investor facing a classical portfolio problem of optimal …
Some contributions of Bayesian and computational learning methods to portfolio selection problems
J Nicolle - 2020 - theses.hal.science
The present thesis is a study of different optimal portfolio allocation problems in the case
where the appreciation rate, named the drift, of the Brownian motion driving the dynamics of …
where the appreciation rate, named the drift, of the Brownian motion driving the dynamics of …
Discrete-Time Portfolio Optimization under Maximum Drawdown Constraint with Partial Information and Deep Learning Resolution
C Franco, J Nicolle, H Pham - … : A Commemorative Volume to Honor Mark …, 2022 - Springer
We study a discrete-time portfolio selection problem with partial information and maximum
drawdown constraint. Drift uncertainty in the multidimensional framework is modeled by a …
drawdown constraint. Drift uncertainty in the multidimensional framework is modeled by a …
Dynamic Optimization of Investment Portfolio under Liquidity with Benchmark Process
R Fatehpour, M Hamidian, S Shahverdiani… - Journal of Investment …, 2023 - jik-ifea.ir
Investors are looking to choose the optimal combination of assets and allocate their wealth
among them in such a way that they can achieve the goal of investing (increasing the …
among them in such a way that they can achieve the goal of investing (increasing the …