Background: Interferon alfa accounts for a potential treatment against COVID-19 Recombinant super... more Background: Interferon alfa accounts for a potential treatment against COVID-19 Recombinant super-compound interferon (rSIFN-co) is a new genetically enginee
The paper presents some consideration on consideration on portfolio investment: beyond the Markow... more The paper presents some consideration on consideration on portfolio investment: beyond the Markowitz model. Its matter contains the following issues:-Introduction-A view on portfolio optimization-An example of deterministic Markowitz models-The model solution via interior - point Method.-Beyond the Markowitz model.-Conclusion It is underlined the portfolio optimization is importante in the optimization of investment in our country and there are the possibility to generalise the deterministic models in the sense of the stochastic optimisation theory, beyond the Markowitz models.
In this paper the following problems are treated: Estimation of the mean value of a random functi... more In this paper the following problems are treated: Estimation of the mean value of a random function Z(x), defined in a stochastic finite element v, (SFE), zv= 1 ∫ ( ) where the distributions of Z(x) at each node are known; Kriking solution with SFE under the nonstationary hypothesis: E(Z(x))=m(x) , C(x, h) = E{(Z(x+h)Z(x)}-m(x+h)m(x). Finally are given the conclusions underlying the importance of above stochastic instruments not only in the stochastic geotechnical discipline but also in other ones as in energy, geology, geophysics, mechanics, dynamics, elastostatics, finance , engineering , environment, climate etc., in which the distributions are used. 1. Estimation of the mean value of a random function Z(x), defined in a stochastic finite element (SFE) v, zv = 1/v v Z(x)dx, where the distributions of Z(x) at each node are known; 2. A discretization random field view of SFE in relation to other dicsetized methods. 3. Kriking in SFE view 4. SFE in reliability analysis. 5. Finally...
In this paper two problems are treated: (1) estimation of the mean value of a random function Z(x... more In this paper two problems are treated: (1) estimation of the mean value of a random function Z(x), defined in a stochastic finite element (SFE) v, zv=1/v∫vZ(x)dx, where the distributions of Z(x) at each node are known; and (2) Kriking solution with SFE under the non-stationary hypothesis: E(Z(x))=m(x), C(x,h)=E{Z(x+h)Z(x)}−m(x+h)m(x). Several temperature distribution results are presented using a plane SFE. Finally, the conclusions are given underlining SFE applications in energy, hydrology, geology etc., generally in whatever disciplines the distributions are used.
Background: Interferon alfa accounts for a potential treatment against COVID-19 Recombinant super... more Background: Interferon alfa accounts for a potential treatment against COVID-19 Recombinant super-compound interferon (rSIFN-co) is a new genetically enginee
The paper presents some consideration on consideration on portfolio investment: beyond the Markow... more The paper presents some consideration on consideration on portfolio investment: beyond the Markowitz model. Its matter contains the following issues:-Introduction-A view on portfolio optimization-An example of deterministic Markowitz models-The model solution via interior - point Method.-Beyond the Markowitz model.-Conclusion It is underlined the portfolio optimization is importante in the optimization of investment in our country and there are the possibility to generalise the deterministic models in the sense of the stochastic optimisation theory, beyond the Markowitz models.
In this paper the following problems are treated: Estimation of the mean value of a random functi... more In this paper the following problems are treated: Estimation of the mean value of a random function Z(x), defined in a stochastic finite element v, (SFE), zv= 1 ∫ ( ) where the distributions of Z(x) at each node are known; Kriking solution with SFE under the nonstationary hypothesis: E(Z(x))=m(x) , C(x, h) = E{(Z(x+h)Z(x)}-m(x+h)m(x). Finally are given the conclusions underlying the importance of above stochastic instruments not only in the stochastic geotechnical discipline but also in other ones as in energy, geology, geophysics, mechanics, dynamics, elastostatics, finance , engineering , environment, climate etc., in which the distributions are used. 1. Estimation of the mean value of a random function Z(x), defined in a stochastic finite element (SFE) v, zv = 1/v v Z(x)dx, where the distributions of Z(x) at each node are known; 2. A discretization random field view of SFE in relation to other dicsetized methods. 3. Kriking in SFE view 4. SFE in reliability analysis. 5. Finally...
In this paper two problems are treated: (1) estimation of the mean value of a random function Z(x... more In this paper two problems are treated: (1) estimation of the mean value of a random function Z(x), defined in a stochastic finite element (SFE) v, zv=1/v∫vZ(x)dx, where the distributions of Z(x) at each node are known; and (2) Kriking solution with SFE under the non-stationary hypothesis: E(Z(x))=m(x), C(x,h)=E{Z(x+h)Z(x)}−m(x+h)m(x). Several temperature distribution results are presented using a plane SFE. Finally, the conclusions are given underlining SFE applications in energy, hydrology, geology etc., generally in whatever disciplines the distributions are used.
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