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Papers by Gabriel Dimitriu

Research paper thumbnail of Identification of a Nonlinear Damping Function in a Thermoelastic System

Springer eBooks, 2005

In this paper we present an approximation framework and convergence results for the identificatio... more In this paper we present an approximation framework and convergence results for the identification of a nonlinear damping function in a thermoelastic system. A functional technique is used to demonstrate that solutions to a sequence of finite dimensional (Galerkin) approximating identification problems in some sense approximate a solution to the original infinite dimensional inverse problem. An example and numerical studies are discussed.

Research paper thumbnail of Numerical Experiments for Reaction-Diffusion Equations Using Exponential Integrators

Research paper thumbnail of Comparative numerical analysis using reduced-order modeling strategies for nonlinear large-scale systems

Journal of Computational and Applied Mathematics, 2017

Research paper thumbnail of Urysohn measure driven integral equations in the space of bounded variation functions and applications

Nucleation and Atmospheric Aerosols, 2016

Motivated by the fact that bounded variation (often discontinuous) functions frequently appear wh... more Motivated by the fact that bounded variation (often discontinuous) functions frequently appear when studying integral equations that describe physical phenomena, we focus on the existence of bounded variation solutions for Urysohn integral measure driven equations. Due to numerous applications of Urysohn integral equations in various domains, problems of this kind have been extensively studied in literature, under more restrictive assumptions. Our approach concerns the framework of Kurzweil-Stieltjes integration, which allows the occurrence of high oscillatory features on the right hand side of the equation. A discussion about interesting consequences of our main result (given by particular cases of the measure driving the equation) is presented. Finally, we show the generality of our results by investigating two examples of impulsive type problems (from both theoretical and numerical perspective) and giving an application in electronics industry concerning polarization properties of ferroelectric materials.

Research paper thumbnail of Using Singular Value Decomposition in Conjunction with Data Assimilation Procedures

Springer eBooks, May 13, 2007

Research paper thumbnail of Mathematical Aspects of Data Assimilation for Atmospheric Chemistry Models

Springer eBooks, Nov 11, 2005

This study analyzes some mathematical aspects of data assimilation for atmospheric chemistry mode... more This study analyzes some mathematical aspects of data assimilation for atmospheric chemistry models based on variational approaches. Of interest here are the so called adjoint methods which are particularly efficient to mathematically solve the variational problem. Details concerning operator splitting, adjoint and gradient computations are also discussed.

Research paper thumbnail of Significance of arterial stiffness and relationship with other noninvasive methods for the assessment of subclinical atherosclerosis inpatients with metabolic syndrome

PubMed, Feb 11, 2014

Measurement of arterial stiffness is an accurate method of assessment of endothelial dysfunction,... more Measurement of arterial stiffness is an accurate method of assessment of endothelial dysfunction, together with other noninvasive methods, in the diagnosis of atherosclerotic burden in patients with MetS. Material and methods: The study included 63 patients: MetS group (18 men, 20 women, mean age 58.86 +/- 8.86 years) and the control group (14 men, 11 women, mean age 59.68 +/- 10.0 years). They underwent the following examinations: assessment of arterial stiffness--pulse wave velocity (PWVao), augmentation index of brachial artery (Aixbr) and aorta (Aixao), central systolic blood pressure (SBPao); carotid ultrasound for detection of plaques and measurement of intima-media thickness (IMT); echocardiography--left ventricular hypertrophy (LVH); ankle-brachial index (ABI); biochemical parameters: C-reactive protein (CRP), fibrinogen (Fb), cholesterol (Col), HDLcol, LDLcol and triglycerides. Results: MetS patients had higher PWVao (10.06 +/- 2.12 m/s vs 8.29 +/- 1.33 m/s, p = 0.0001) and SBPao (135.06 +/- 19.80 mmHg vs. 121.76 +/- 18.62 mmHg, p = 0.009). Carotid IMT was higher in MetS group (0.92 +/- 0.11 vs. 0.83 +/- 0.10 mm, p = 0.003). Almost all MetS patients were hypertensive (94.7% vs. 52%, p = 0.01); LVH was present in 57.9% of MetS patients and 20% of the controls (p = 0.05). The MetS group presented higher Col (208.76 +/- 38.41 vs. 176.20 +/- 30.08 mg/dl, p = 0.0003) and CRP levels (0.872 +/- 0.852 mg/dl vs. 0.476 +/- 0.392 mg/dl, p = 0.01). Conclusions: In MetS patients the most reliable marker of arterial stiffness was PWVao, followed by SBPao. Higher values of carotid IMT are also parameters of high atherosclerotic risk. CRP and Col can be considered biomarkers of high risk in MetS.

Research paper thumbnail of Comparative Study with Data Assimilation Experiments Using Proper Orthogonal Decomposition Method

Lecture Notes in Computer Science, 2008

Research paper thumbnail of An optimal control problem for a two-prey and one-predator model with diffusion

Computers & mathematics with applications, Jul 1, 2014

Research paper thumbnail of A numerical comparative study on data assimilation using Kalman filters

Computers & mathematics with applications, May 1, 2008

Kalman filtering has become a powerful framework for solving data assimilation problems. Of inter... more Kalman filtering has become a powerful framework for solving data assimilation problems. Of interest here are the low-rank filters which are computationally efficient for solving large-scale data assimilation problems. Together with theoretical aspects on the basis of which some common low-rank filters are designed, the paper also presents numerically comparative results of data assimilation using an air pollution model. The performance of such filters, as depending on the distance between the measurement locations and emission points, is investigated.

Research paper thumbnail of Adjoint Computations in Data Assimilation Problems Using a 4-Stage Rosenbrock Method

Springer eBooks, 2006

In the past decade the variational methods (3D-var, 4D-var) have been successfully applied in met... more In the past decade the variational methods (3D-var, 4D-var) have been successfully applied in meteorological data assimilation and showed promising results for atmospheric chemistry models. In this paper we describe adjoint computations in data assimilation problems using a 4-stage Rosenbrock method. The order 4 formula is L-stable and has an embedded order 3 formula for error control.

Research paper thumbnail of Identifiability and sensitivity analyses for a chronic myelogenous leukemia model with t cell interaction

Research paper thumbnail of Convergence Rate for a Convection Parameter Identified Using Tikhonov Regularization

Lecture Notes in Computer Science, 2001

In this paper we establish a convergence rate result for a parameter identification problem. We s... more In this paper we establish a convergence rate result for a parameter identification problem. We show that the convergence rate of a convection parameter in an elliptic equation with Dirichlet boundary conditions is O( Ö{d</font >} ) \mathcal{O}\left( {\sqrt \delta } \right) , where δ is a norm bound for the noise in the data.

Research paper thumbnail of Processing epidemiological data using dynamic mode decomposition method

Nucleation and Atmospheric Aerosols, 2019

Research paper thumbnail of Numerical approximation of the optimal inputs for an identification problem

International Journal of Computer Mathematics, 1998

An optimal control problem for a parabolic equation closely related to an identification problem ... more An optimal control problem for a parabolic equation closely related to an identification problem is considered. This is an application of an abstract existence result of Barbu and Seidman [1]. An approximation scheme based on a discretization using finite differences and an algorithm are presented. Numerical results and conclusions drawn from the computational studies are reported.

Research paper thumbnail of Numerical Simulations with Data Assimilation Using an Adaptive POD Procedure

Research paper thumbnail of Photochemical Reactions in the Atmosphere - a Source of Secondary Pollutants

Research paper thumbnail of Regional control for a spatially structured malaria model

Mathematical Methods in The Applied Sciences, Mar 14, 2019

Research paper thumbnail of Similarities between the Evolution of COVID-19 Number of Cases in Romanian Counties

2020 International Conference on e-Health and Bioengineering (EHB), Oct 29, 2020

Research paper thumbnail of Numerical Optimal Harvesting for an Age-Dependent Prey-Predator System

Numerical Functional Analysis and Optimization, Jun 1, 2012

Research paper thumbnail of Identification of a Nonlinear Damping Function in a Thermoelastic System

Springer eBooks, 2005

In this paper we present an approximation framework and convergence results for the identificatio... more In this paper we present an approximation framework and convergence results for the identification of a nonlinear damping function in a thermoelastic system. A functional technique is used to demonstrate that solutions to a sequence of finite dimensional (Galerkin) approximating identification problems in some sense approximate a solution to the original infinite dimensional inverse problem. An example and numerical studies are discussed.

Research paper thumbnail of Numerical Experiments for Reaction-Diffusion Equations Using Exponential Integrators

Research paper thumbnail of Comparative numerical analysis using reduced-order modeling strategies for nonlinear large-scale systems

Journal of Computational and Applied Mathematics, 2017

Research paper thumbnail of Urysohn measure driven integral equations in the space of bounded variation functions and applications

Nucleation and Atmospheric Aerosols, 2016

Motivated by the fact that bounded variation (often discontinuous) functions frequently appear wh... more Motivated by the fact that bounded variation (often discontinuous) functions frequently appear when studying integral equations that describe physical phenomena, we focus on the existence of bounded variation solutions for Urysohn integral measure driven equations. Due to numerous applications of Urysohn integral equations in various domains, problems of this kind have been extensively studied in literature, under more restrictive assumptions. Our approach concerns the framework of Kurzweil-Stieltjes integration, which allows the occurrence of high oscillatory features on the right hand side of the equation. A discussion about interesting consequences of our main result (given by particular cases of the measure driving the equation) is presented. Finally, we show the generality of our results by investigating two examples of impulsive type problems (from both theoretical and numerical perspective) and giving an application in electronics industry concerning polarization properties of ferroelectric materials.

Research paper thumbnail of Using Singular Value Decomposition in Conjunction with Data Assimilation Procedures

Springer eBooks, May 13, 2007

Research paper thumbnail of Mathematical Aspects of Data Assimilation for Atmospheric Chemistry Models

Springer eBooks, Nov 11, 2005

This study analyzes some mathematical aspects of data assimilation for atmospheric chemistry mode... more This study analyzes some mathematical aspects of data assimilation for atmospheric chemistry models based on variational approaches. Of interest here are the so called adjoint methods which are particularly efficient to mathematically solve the variational problem. Details concerning operator splitting, adjoint and gradient computations are also discussed.

Research paper thumbnail of Significance of arterial stiffness and relationship with other noninvasive methods for the assessment of subclinical atherosclerosis inpatients with metabolic syndrome

PubMed, Feb 11, 2014

Measurement of arterial stiffness is an accurate method of assessment of endothelial dysfunction,... more Measurement of arterial stiffness is an accurate method of assessment of endothelial dysfunction, together with other noninvasive methods, in the diagnosis of atherosclerotic burden in patients with MetS. Material and methods: The study included 63 patients: MetS group (18 men, 20 women, mean age 58.86 +/- 8.86 years) and the control group (14 men, 11 women, mean age 59.68 +/- 10.0 years). They underwent the following examinations: assessment of arterial stiffness--pulse wave velocity (PWVao), augmentation index of brachial artery (Aixbr) and aorta (Aixao), central systolic blood pressure (SBPao); carotid ultrasound for detection of plaques and measurement of intima-media thickness (IMT); echocardiography--left ventricular hypertrophy (LVH); ankle-brachial index (ABI); biochemical parameters: C-reactive protein (CRP), fibrinogen (Fb), cholesterol (Col), HDLcol, LDLcol and triglycerides. Results: MetS patients had higher PWVao (10.06 +/- 2.12 m/s vs 8.29 +/- 1.33 m/s, p = 0.0001) and SBPao (135.06 +/- 19.80 mmHg vs. 121.76 +/- 18.62 mmHg, p = 0.009). Carotid IMT was higher in MetS group (0.92 +/- 0.11 vs. 0.83 +/- 0.10 mm, p = 0.003). Almost all MetS patients were hypertensive (94.7% vs. 52%, p = 0.01); LVH was present in 57.9% of MetS patients and 20% of the controls (p = 0.05). The MetS group presented higher Col (208.76 +/- 38.41 vs. 176.20 +/- 30.08 mg/dl, p = 0.0003) and CRP levels (0.872 +/- 0.852 mg/dl vs. 0.476 +/- 0.392 mg/dl, p = 0.01). Conclusions: In MetS patients the most reliable marker of arterial stiffness was PWVao, followed by SBPao. Higher values of carotid IMT are also parameters of high atherosclerotic risk. CRP and Col can be considered biomarkers of high risk in MetS.

Research paper thumbnail of Comparative Study with Data Assimilation Experiments Using Proper Orthogonal Decomposition Method

Lecture Notes in Computer Science, 2008

Research paper thumbnail of An optimal control problem for a two-prey and one-predator model with diffusion

Computers & mathematics with applications, Jul 1, 2014

Research paper thumbnail of A numerical comparative study on data assimilation using Kalman filters

Computers & mathematics with applications, May 1, 2008

Kalman filtering has become a powerful framework for solving data assimilation problems. Of inter... more Kalman filtering has become a powerful framework for solving data assimilation problems. Of interest here are the low-rank filters which are computationally efficient for solving large-scale data assimilation problems. Together with theoretical aspects on the basis of which some common low-rank filters are designed, the paper also presents numerically comparative results of data assimilation using an air pollution model. The performance of such filters, as depending on the distance between the measurement locations and emission points, is investigated.

Research paper thumbnail of Adjoint Computations in Data Assimilation Problems Using a 4-Stage Rosenbrock Method

Springer eBooks, 2006

In the past decade the variational methods (3D-var, 4D-var) have been successfully applied in met... more In the past decade the variational methods (3D-var, 4D-var) have been successfully applied in meteorological data assimilation and showed promising results for atmospheric chemistry models. In this paper we describe adjoint computations in data assimilation problems using a 4-stage Rosenbrock method. The order 4 formula is L-stable and has an embedded order 3 formula for error control.

Research paper thumbnail of Identifiability and sensitivity analyses for a chronic myelogenous leukemia model with t cell interaction

Research paper thumbnail of Convergence Rate for a Convection Parameter Identified Using Tikhonov Regularization

Lecture Notes in Computer Science, 2001

In this paper we establish a convergence rate result for a parameter identification problem. We s... more In this paper we establish a convergence rate result for a parameter identification problem. We show that the convergence rate of a convection parameter in an elliptic equation with Dirichlet boundary conditions is O( Ö{d</font >} ) \mathcal{O}\left( {\sqrt \delta } \right) , where δ is a norm bound for the noise in the data.

Research paper thumbnail of Processing epidemiological data using dynamic mode decomposition method

Nucleation and Atmospheric Aerosols, 2019

Research paper thumbnail of Numerical approximation of the optimal inputs for an identification problem

International Journal of Computer Mathematics, 1998

An optimal control problem for a parabolic equation closely related to an identification problem ... more An optimal control problem for a parabolic equation closely related to an identification problem is considered. This is an application of an abstract existence result of Barbu and Seidman [1]. An approximation scheme based on a discretization using finite differences and an algorithm are presented. Numerical results and conclusions drawn from the computational studies are reported.

Research paper thumbnail of Numerical Simulations with Data Assimilation Using an Adaptive POD Procedure

Research paper thumbnail of Photochemical Reactions in the Atmosphere - a Source of Secondary Pollutants

Research paper thumbnail of Regional control for a spatially structured malaria model

Mathematical Methods in The Applied Sciences, Mar 14, 2019

Research paper thumbnail of Similarities between the Evolution of COVID-19 Number of Cases in Romanian Counties

2020 International Conference on e-Health and Bioengineering (EHB), Oct 29, 2020

Research paper thumbnail of Numerical Optimal Harvesting for an Age-Dependent Prey-Predator System

Numerical Functional Analysis and Optimization, Jun 1, 2012