Ninoslav Truhar (Google Scholar Profile)
Full Professor Department of Mathematics Josip Juraj Strossmayer University of Osijek Trg Ljudevita Gaja 6 Osijek, HR31000, Croatia¸

Research Interests

 Numerical Linear Algebra
 Systems and Control Theory
 Applied Mathematics
Degrees

 B. S. in Mathematics and Physics 1987, University of Osijek
 M. S. In Mathematics 1995, University of Zagreb
 Ph.D. in Mathematics 2000, University of Zagreb
Study Visits Abroad and Professional Improvement
 1997 1012, visiting researher at The Pennsylvania State University, State College, PA, USA
 1999–2001 postPh. D. research at FernUniversitat in Hagen, Germany
 2003 guest professor at FernUniversitat in Hagen, Germany (one month)
 2004 guest professor at FernUniversitat in Hagen, Germany (one month)
 2006 visiting researher at Department of Mathematics, University of Kentucky,
Lexington, Kentucky, USA  2007 visiting professor at Department of Mathematics at the University of Texas
at Arlington, Arlington, Texas, USA (one semester)  2013 visiting professor at Department of Mathematics at the University of Texas
at Arlington, Arlington, Texas, USA (one semester)
Publications
 N. Truhar, Z. Tomljanović, M. Puvača, Approximation of damped quadratic eigenvalue problem by dimension reduction, Applied mathematics and computation 347 (2019), 4053This paper presents an approach to the efficient calculation of all or just one important part of the eigenvalues of the parameter dependent quadratic eigenvalue problem $(lambda^2(mathbf{;v};) M + lambda(mathbf{;v};) D(mathbf{;v};) + K) x(mathbf{;v};) = 0$, where $M, K$ are positive definite Hermitian $ntimes n$ matrices and $D(mathbf{;v};)$ is an $ntimes n$ Hermitian semidefinite matrix which depends on a damping parameter vector $mathbf{;v};= begin{;bmatrix}; v_1 & ldots & v_k end{;bmatrix};in mathbb{;R};_+^k$. With the new approach one can efficiently (and accurately enough) calculate all (or just part of the) eigenvalues even for the case when the parameters $v_i$, which in this paper represent damping viscosities, are of the modest magnitude. Moreover, we derive two types of approximations with corresponding error bounds. The quality of error bounds as well as the performance of the achieved eigenvalue tracking are illustrated in several numerical experiments.
 N. Truhar, Z. Tomljanović, M. Puvača, An Efficient Approximation For Optimal Damping In Mechanical Systems, International journal of numerical analysis and modeling 14/2 (2017), 201217This paper is concerned with an efficient algorithm for damping optimization in mechanical systems with a prescribed structure. Our approach is based on the minimization of the total energy of the system which is equivalent to the minimization of the trace of the corresponding Lyapunov equation. Thus, the prescribed structure in our case means that a mechanical system is close to a modally damped system. Although our approach is very efficient (as expected) for mechanical systems close to modally damped system, our experiments show that for some cases when systems are not modally damped, the proposed approach provides efficient approximation of optimal damping.
 I. Kuzmanović, Z. Tomljanović, N. Truhar, Damping optimization over the arbitrary time of the excited mechanical system, Journal of Computational and Applied Mathematics, 304 (2016), 120129In this paper we consider damping optimization in mechanical system excited by an external force. We use optimization criteria based on minimizing average energy amplitude and average displacement amplitude over the arbitrary time. As the main result we derive explicit formulas for objective functions. These formulas can be implemented efficiently and accelerate optimization process significantly, which is illustrated in a numerical example.
 L. Grubišić, S. Miodragović, N. Truhar, Double angle theorems for definite matrix pairs, Electronic Transactions on Numerical Analysis 45 (2016), 3357In this paper we present new double angle theorems for the rotation of the eigenspaces for Hermitian matrix pairs $(H,M)$, where $H$ is a nonsingular matrix which can be factorized as $H = G J G^*$, $J = diag(pm 1)$, and $M$ is nonsingular. The rotation of the eigenspaces is measured in the matrix dependent scalar product and the bounds belong to the relative perturbation theory. The quality of the new bounds are illustrated in the numerical examples.
 P. Benner, P. Kurschner, Z. Tomljanović, N. Truhar, Semiactive damping optimization of vibrational systems using the parametric dominant pole algorithm, Journal of Applied Mathematics and Mechanics 96/5 (2016), 604619We consider the problem of determining an optimal semiactive damping of vibrating systems. For this damping optimization we use a minimization criterion based on the impulse response energy of the system. The optimization approach yields a large number of Lyapunov equations which have to be solved. In this work, we propose an optimization approach that works with reduced systems which are generated using the parametric dominant pole algorithm. This optimization process is accelerated with a modal approach while the initial parameters for the parametric dominant pole algorithm are chosen in advance using residual bounds. Our approach calculates a satisfactory approximation of the impulse response energy while providing a significant acceleration of the optimization process. Numerical results illustrate the effectiveness of the proposed algorithm.
Projects

Principal Investigator: Optimization of parameter dependent mechanical systems (IP2014099540; OptPDMechSys). This project has been fully supported by Croatian Science Foundation for the period 01.07.2015.30.06.2019.
 Mixed Integer Nonlinear Programming (MINLP) for damper optimizationscientific project; supported by the DAAD for period 20152016 (Project director); partner institution: Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg

European Model Reduction Network (EUMORNET). Funded by: COST (European Cooperation in Science and Technology).
Partner: researchers in model order reduction from 17 countries.
 DAAD: Optimal Damping of Vibrating Systems, PPP Germany, 20132015
Project run 01/01/2013  12/31/2014 founded by DAAD in collaboration between Max Planck Institute for Dynamics Complex Technical Systems Magdeburg, Computational Methods in Systems and Control Theory, Magdeburg, Germany and Department of Mathematics, University of Osijek, Osijek, Croatia

Solution of largescale Lyapunov Differential Equations,
Funded by: FWF Austrian Science Fundation, FWF project id: P27926
Researchers: Dr. Hermann Mena (project director, University of Innsbruck, Innsbruck, Austria); Prof. Dr. Alexander Ostermann (University of Innsbruck, Innsbruck, Austria)
Partners: Universidad Jaime I, Castellon (Spain), University of Tuebingen, (Germany),
Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg (Germany), Department of Mathematics, University of Osijek (Croatia)
Professional Activities
Journals:
 Mathematical Communications (since 2007)
 Osječki matematički list (since 2003)
Forthcoming Meetings
 ICIAM2019. Valencia (Spain) July 1519, 2019. https://iciam2019.org/
Committee Memberships
 Workshop on Model Reduction Methods and Optimization, 2021 September 2016, in Opatija, Croatia, http://www.mathos.unios.hr/index.php/443.
 The third International School on Model Reduction for Dynamical Control Systems, 5  10 October 2015, in Dubrovnik, Croatia http://www.mathos.unios.hr/index.php/351
 Member of the Scientific Committee of the 6th Croatian Congress of Mathematics (Zagreb, 2016)
 Organizer of the DAAD International School on Linear Optimal Control of Dynamic Systems, 23  28 September 2013, Osijek http://www.mathos.unios.hr/locschool2013/

Member of the Scientific Committee of the 5th Croatian Congress of Mathematics (Rijeka, 2012) http://www.math.uniri.hr/CroMC2012/

Organizer of the Summer School on Numerical Linear Algebra for Dynamical and HighDimensional Problems, October 1015, 2011, Trogir, Croatia, http://www.mpimagdeburg.mpg.de/mpcsc/events/trogir/

Member of the Scientific Committee of the 4th Croatian Congress of Mathematics (Osijek, 2008) http://www.mathos.hr/congress2008/
Refereeing/Reviewing
Refereeing
 SIAM Journal on Matrix Analysis and Applications (SIMAX)
 SIAM Journal on Scientific Computing (SISC)
 Linear Algebra and its Applications (LAA)
 Numerische Mathematik
 BIT Numerical Mathematics
 Mathematical and Computer Modelling (MCM)
 Applied Mathematics and Computation (AMC)
 International Journal of Computer Mathematics
 Journal of Applied Mathematics and Computing (JACM)
 Journal of Sound and Vibration
 International Journal of Systems Science
 International Journal of Computer Mathematics
 Numerical Algorithms
 Central European Journal of Mathematics
 Bulletin of the Iranian Mathematical Society
 Glasnik matematički
 Mathematical Communications
Reviewing  AMS Mathematical Review (since 2006)
 Zentralblatt MATH
Service Activities

Chairman of Osijek Mathematical Society, 20032013

Chairman of the Mathematical Colloquium, 20052017
Teaching
Konzultacije (Office Hours): Srijeda (Wed) 11:00am12:15pm, Četvrtak (Thu) 9:00am10:00pm. Konzultacije su moguće i po dogovoru.
Diplomska nastava:
Teme za diplomske radove: popis tema
Novo:
Građevinski fakultet Osijek, Razlikovna godina 20182019:
Rezultati 1. Kolkvija iz Matematike su ovdje
Rezultati 2. Kolkvija sa ocjenama iz Matematike su ovdje.
2. kolkvij iz Matematike se može pogledati u utorak 4.12.2018 četvrtak 6.12. 2019 u 12 sati na Odjelu za matematiku, u sobi prof. Truhara.
Personal
 Birthdate: May 4, 1963
 Birthplace: Osijek, Croatia
 Citizenship: Croatian
 Family: Married
Hobbies:
I am a fan and supporter of basketball club KK Vrijednosnice Osijek
http://www.kkvrijednosniceosijek.hr/
https://hrhr.facebook.com/pages/KKVrijednosniceOsijek/117543455032023