Baasansuren Jadamba Headshot

Baasansuren Jadamba

Associate Professor
School of Mathematical Sciences
College of Science

585-475-3994
Office Location

Baasansuren Jadamba

Associate Professor
School of Mathematical Sciences
College of Science

Education

BS, National University of Mongolia (Mongolia); MS, University of Kaiserslautern (Germany); Ph.D., University of Erlangen-Nuremberg (Germany)

585-475-3994

Currently Teaching

MATH-741
3 Credits
This course uses methods of applied mathematics in the solution of problems in physics and engineering. Models such as heat flow and vibrating strings will be formulated from physical principles. Characteristics methods, maximum principles, Green's functions, D'Alembert formulas, weak solutions and distributions will be studied.
MATH-233
4 Credits
This is an introductory course in linear algebra and ordinary differential equations in which a scientific computing package is used to clarify mathematical concepts, visualize problems, and work with large systems. The course covers matrix algebra, the basic notions and techniques of ordinary differential equations with constant coefficients, and the physical situation in which they arise.
MATH-181
4 Credits
This is the first in a two-course sequence intended for students majoring in mathematics, science, or engineering. It emphasizes the understanding of concepts, and using them to solve physical problems. The course covers functions, limits, continuity, the derivative, rules of differentiation, applications of the derivative, Riemann sums, definite integrals, and indefinite integrals.

Select Scholarship

Journal Paper
Jadamba, Baasansuren, et al. "Elliptic Inverse Problems of Identifying Nonlinear Parameters." Pure and Applied Functional Analysis 3. 2 (2018): 309-326. Print.
Jadamba, Baasansuren, Akhtar A. Khan, and Miguel Sama. "Stable Conical Regularization by Constructible Dilating Cones with an Application to Lp-constrained Optimization Problems." Taiwanese Journal of Mathematics. (2018): 1-23. Web.
Causa, Antonio, Baasansuren Jadamba, and Fabio Raciti. "A migration Equilibrium Model with Uncertain Data and Movement Costs." Decisions in Economics and Finance 40. 1-2 (2017): 159-175. Print.
Jadamba, Baasansuren, et al. "On Convex Modified Output Least-Squares for Elliptic Inverse Problems: Stability, Regularization, Applications, and Numerics." Optimization 60. (2017): 983-1012. Print.
Jadamba, Baasansuren, et al. "First-Order and Second-Order Adjoint Methods for Parameter Identification Problems with an Application to the Elasticity Imaging Inverse Problem." Inverse Problems in Science and Engineering 25. 12 (2017): 1-21. Print.
Gwinner, Joachim, et al. "Identification in Variational and Quasi-Variational Inequalities." J. Convex Analysis 25. 1-26 (2018): 545-569. Print.
Jadamba, Baasansuren, Massimo Pappalardo, and Fabio Raciti. "Efficiency and Vulnerability Analysis for Congested Networks with Random Data." J. Optim. Theory Appl.. (2018): 1-21. Web.
Faraci, F., B. Jadamba, and F. Raciti. "On Stochastic Variational Inequalities with Mean Value Constraints." J. Optim. Theory Appl. 171. 2 (2016): 675-693. Print.
Jadamba, B., A. Khan, and M. Sama. "Error Estimates for Integral Constraint Regularization of State-Constrained Elliptic Control Problems." Comput. Optim. Appl.. (2016): 1-33. Web.
Jadamba, Baasansuren, et al. "Identification of Flexural Rigidity in a Kirchhoff Plates Model Using a Convex Objective and Continuous Newton Method." Mathematical Problems in Engineering 2015. Article ID 290301 (2015): 11. Web.
Bush, Nathan, et al. "Identification Of A Parameter In Fourth-Order Partial Differential Equations By An Equation Error Approac." Math. Slovaca 65. 5 (2015): 1-13. Print.
Jadamba, Baasansuren and Fabio Raciti. "Variational Inequality Approach to Stochastic Nash Equilibrium Problems with an Application to Cournot Oligopoly." Journal of Optimization Theory and Applications 165. (2015): 1050-1070. Print.
Doyley, Marvin, et al. "A New Energy Inversion for Parameter Identification in Saddle Point Problems with an Application to the Elasticity Imaging Inverse Problem of Predicting Tumor Location." Numerical Functional Analysis and Optimization 35. 7-9 (2014): 984-1017. Print.
Jadamba, Baasansuren, et al. "A New Convex Inversion Framework for Parameter Identification in Saddle Point Problems with an Application to the Elasticity Imaging Inverse Problem of Predicting Tumor Location." SIAM Journal on Applied Mathematics 74. 5 (2014): 1486-1510. Print.
Gibali, Aviv, et al. "Gradient and Extragradient Methods for an Elliptic Inverse Problem of Parameter Identification: A Numerical Study." Indian J. Indust. Appl. Math 4. 1 (2013): 33-51. Print.
Jadamba, Baasansuren and Fabio Raciti. "On the Modelling of some Environmental Games with Uncertain Data." J. of Optim. Theory and Appl 167. (2015): 959-968. Print.
Cahill, Nathan, et al. "A First-Order Adjoint and A Second-Order Hybrid Method for an Energy Output Least Squares for Elastography Inverse Problem." Boundary Value Problems. (2013): 263-277. Web.
Jadamba, Baasansuren, Akhtar A. Khan, and Miguel Sama. "Regularization for State Constrained Optimal Control Problems by Half Spaces Based Decoupling." Systems and Control Letters 61. (2012): 707-713. Print.
Baasansuren, Jadamba, et al. "Proximal Point Methods for the Inverse Problem of Identifying Parameter in Beam Models." Emerging Applications of Wavelet Methods 1463. (2012): 16-38. Print.
Baasansuren, Jadamba and Fabio Raciti. "A Variational Inequality Approach to a Class of Environmental Equilibrium Problems." Applied Mathematics 3. (2012): 1723-1728. Web.
Jadamba, Baasansuren, Akhtar A. Khan, and Miguel Sama. "Generalized Solutions of Quasi Variational Inequalities." Optimization Letters 6. (2012): 1221-1231. Print.
Book Chapter
Strychalski, Wanda, et al. "Fluid Dynamics of Nematocyst Prey Capture." Understanding Complex Biological Systems with Mathematics. Ed. Amy Radunskaya, Rebecca Segal, and Blerta Shtylla. New York, NY: Springer, 2018. 123-144. Print.
Cho, Manki, et al. "First-Order and Second-Order Adjoint Methods for the Inverse Problem of Identifying Nonlinear Parameters in PDEs." Industrial Mathematics and Complex Systems. New York, NY: Springer, 2017. 147-163. Print.
Chugunova, M., et al. "Study of a Mixed Dispersal Population Dynamics Model." The IMA Volumes in Mathematics and its Applications: Numerical Partial Differential Equations and Scientific Computing. Ed. Susanne Brenner. New York, NY: Springer, 2016. 51-77. Print.
Jadamba, B., et al. "Iterative Methods for the Elastography Inverse Problem of Locating Tumors." Essays in Mathematics and its Applications. Ed. T. M. Rassias and P. Pardalos. Cham, Switzerland, NA: Springer, 2016. 101-131. Print.
Jadamba, Baasansuren and Fabio Raciti. "A Stochastic Model of Oligopolistic Market Equilibrium Problems." Optimization in Science and Engineering. Ed. T. M. Rassias, C. A. Floudas, and S. Butenko. Berlin, Germany: Springer, 2014. 263-271. Print.
Jadamba, Baasansuren, Akhtar A. Khan, and Miguel Sama. "Inverse Problems on Parameter Identification in Partial Differential Equations." Mathematical Methods, Models and Algorithms in Science and Technology. Singapore: World Scientific, 2011. 228-258. Print.
Invited Keynote/Presentation
Jadamba, Baasansuren. "Optimization Methods for the Elastography Inverse Problem." Inverse Problems Symposium. Michigan State University. East Lansing, MI. 4 Jun. 2018. Conference Presentation.
Jadamba, Baasansuren. "Minimization of a principal eigenvalue in a mixed dispersal model." Canadian Mathematical Society Winter Meeting. Canadian Mathematical Society. Niagara Falls, Ontario. 3 Nov. 2016. Conference Presentation.
Jadamba, Baasansuren. "First- and second-order adjoint method for parameter identification." Modeling and Optimization: Theory and Applications (MOPTA). Lehigh University. Bethlehem, PA. 17 Aug. 2016. Conference Presentation.
Jadamba, Baasansuren. "Nonlinear Parameter Identification in Variational Problems." 11th AIMS Conference on Dynamical Systems, Differential Equations. American Institute of Mathematical Sciences. Orlando, FL. 3 Jul. 2016. Conference Presentation.
Jadamba, Baasansuren. "Non-smooth Optimization Framework for Elastography Inverse Problem of Tumor Identification." SIAM Conference on Optimization. Society for Industrial and Applied Mathematics. Vancouver, BC. 24 May 2017. Conference Presentation.
Jadamba, Baasansuren. "Mixed Dispersal Model of Population Dynamics." Department of Mathematics and its Applications Colloquium. UNED. Madrid, Spain, Madrid. 4 Jul. 2017. Guest Lecture.
Jadamba, Baasansuren. "Study of a Mixed Dispersal Model of Population Dynamics." Institute of Mathematics Colloquium. Martin-Luther University of Halle-Wittenberg. Halle, Germany, Sachsen-Anhalt. 22 Jun. 2017. Guest Lecture.
Jadamba, Baasansuren. "Stability of an Equation Error Approach for an Inverse Problem." Joint Mathematics Meeting. American Mathematical Society. San Antonio, TX. 10 Jan. 2015. Conference Presentation.
Jadamba, Baasansuren. "Equation Error Approach for Elasticity Imaging Inverse Problem." Modeling and Optimization: Theory and Applications (MOPTA). Lehigh University. Bethlehem, PA. 20 Jul. 2015. Conference Presentation.
Jadamba, Baasansuren. "Minimization of a Principal Eigenvalue of a Mixed Dispersal Model." 22nd International Symposium on Mathematical Programming. Mathematical Optimization Society. Pittsburgh, PA. 13 Jul. 2015. Conference Presentation.
Jadamba, Baasansuren. "An Equation Error Approach for the Elasticity Imaging Inverse Problem." Inverse Problems: Modeling and Simulation. Izmir University. Fethiye, Turkey. 29 May 2014. Conference Presentation.
Baasansuren, Jadamba. "Finite Element Error Estimates for a Phase Field Model for Mixtures." Department Colloquium. University of Catania. Catania, Italy. 7 Mar. 2012. Guest Lecture.
Baasansuren, Jadamba. "Regularization of Stochastic Variational Inequalities and Comparison of an Lp and a Sample-Path Approach." 21st International Symposium on Mathematical Programming. Mathematical Optimization Society. Berlin, Germany. 24 Aug. 2012. Conference Presentation.
Baasansuren, Jadamba. "Regularization of Stochastic Variational Inequalities and Comparison of an Lp and a Sample-Path Approach." Eastern Sectional Meeting. American Mathematical Society. Rochester, NY. 22 Sep. 2012. Conference Presentation.
Jadamba, Baasansuren. "Error Estimates for Modified Output Least Squares for Elliptic Partial Differential Equations." International Congress on Industrial and Applied Mathematics. SIAM. Vancouver Convention Centre, Vancouver, Canada. 18 Jul. 2011. Conference Presentation.
Published Conference Proceedings
Jadamba, Baasansuren and Fabio Raciti. "A Variational Inequality Formulation of a Migration Model with Random Data." Proceedings of the Modeling and Optimization: Theory and Applications. Ed. Martin Takac, Tamas Terlaky. New York, NY: Springer, 2017. Print.
Cho, Manki, et al. "Identification in Mixed Variational Problems by Adjoint Methods with Applications." Proceedings of the Modeling and Optimization: Theory and Applications. Ed. Martin Takac, Tamas Terlaky. New York, NY: Springer, 2017. Print.
Published Article
Eck, Ch., B. Jadamba and P. Knabner. “Error Estimates for a Finite Element Discretization of a Phase Field Model for Mixtures.” SIAM Journal on Numerical Analysis, 47.6 (2010):4429-4445. Print. *