About Me

Expertise: Database programming, Web programming, Network Programming, Algorithms, Computer Science, PHP, Java, JSP, JSF, Swift, Mathematica, Matlab, Maple, Higher Education Mathematics, Educational Leadership, Lecturing, Teaching, Data Analysis

Contact Details

Milan B. Tasić
Email-Home: milan12t@gmail.com,
Email-Work: milan.tasic@pmf.edu.rs
Web: www.pmf.ni.ac.rs/mtasic

Education

Ph.D. Mathematics

Thesis title: Computing Generalized Inverses • March 2003

University of Niš, Faculty of Science and Mathematics, Nis, Serbia 
 
MSC: 15-Linear and Multilinear Algebra; Matrix Theory

M.Sc. Mathematics

Thesis title: The implementations of some methods for computation extreme values and generalized inverses • 2000

University of Niš, Faculty of Science and Mathematics, Niš, Serbia

B.Sc. Mathematics

Mathematics and Informatics • 1995

University of Niš, Faculty of Philosophy, Niš, Serbia

Publications

Science papers•

  • [30] Aldhafeeri, N., Pappas, D., Stanimirović, I.P., Tasić, M.B.,Representations of generalized inverses via full-rank QDR decomposition, Numer Algor , (M20) (2020)
  • [29] Danijela Milošević, Selver Pepić, Muzafer Saračević, Milan B. Tasić, Weighted Moore–Penrose generalized matrix inverse: MySQL vs. Cassandra database storage system, Sādhanā, (M20) vol.41 (2016) 837–846. [ doi: 10.1007/s12046-016-0523-6]
  • [28] Krtolica, P., Stanimirović, P.S.,Tasić, M., Pepić, S., Triangulation of convex polygon with storage support, Facta Universitatis, Series Mathematics and Informatics, (M50) vol.29 (2014) 189-208. 
  • [27] Tasić, M., Stanimirović, I., Simplification of rational matrices by using UML, FACTA Univ., Ser. Math. Inform., (M50) vol.28:1 (2013) 75 - 86. 
  • [26] Tasić, M., Stanimirović, I., Symbolic computation of the Moore-Penrose inverse using the LDL* decomposition of the polynomial matrix, Filomat, (M20) vol.27:8 (2013) 1393 - 1403. 
  • [25] Stanimirović, I., Tasić, M., Computation of generalized inverses by using the LDL* decomposition, Appl. Math. Lett., (M20) vol.25 (2012) 526 - 531.
  • [24] Stanimirović, P.S., Tasić, M, Saračević, М., Mašović, S., UML-based modeling for Moore-Penrose inverse computation, Metalurgia International, (M20) vol.17 (12) (2012) 99-106. 
  • [23] Tasić, M., Stanimirović, P., Pepić, S., Computing generalized inverses using PhP/MySQL environment, Int.Jour.Comp.Math., (M20) vol.88:11 (2011) 2429 - 2446.
  • [22] Stanimirović, P., Tasić, M.,, On the Leverrier-Faddeev algorithm for computing the Moore-Penrose inverse, J. Appl. Math. Comput., (M50) vol.35 (2011) 135-141.
  • [21] Petković M., Tasić, M., Stanimirović, P., Effective partitioning method for computing generalized inverses and their gradients, Appl. Math. Comput., (M20) vol.217:19 (2011) 7588 - 7598.
  • [20] Tasić, M., Stanimirović, I., Implementation of the partitioning method, FACTA UNIVERSITATIS (Nis) Ser. Math. Inform., (M50) vol.25 (2010) 25 - 33. 
  • [19] Tasić, M., Stanimirović, P., Differentiation of generalized inverses for rational and polynomial matrices, Appl. Math. Comput., (M20) vol.216:7 (2010) 2092 - 2106. 
  • [18] Tasić, M., Stanimirović, P. and Pepić, S., About the generalized LM-inverse and the Weighted Moore-Penrose inverse, Appl. Math. Comput., (M20) vol.216:1 (2010) 114 - 124.
  • [17] Stanimirović, I. and Tasić, M., Performance Comparison of Storage Formats for Sparse Matrices, FACTA Univ., Ser. Math. Inform., (M50) vol.24 (2009) 39 - 51.
  • [16] Stanimirović, P., Tasić, M., Vu, K.M., Extensions of Faddeev's algorithms to polynomial matrices, Appl. Math. Comput., (M20) vol.214:1 (2009) 246-258.
  • [15] Stanimirović, P., Tasić, M., Computing generalized inverses using LU factorization of matrix product, Int.Jour.Comp.Math., (M20) vol.Vol 85, No. 12 (2008) 1865 - 1878.
  • [14] Petković, M., Stanimirović, P., Tasić, M., Effective partitioning method for computing weighted Moore-Penrose inverse, Comp.& Math.with Applic., (M20) vol.Vol 8, No. 55 (2008) 1720 - 1734.
  • [13] Tasić, M., Stanimirović, P., Symbolic and recursive computation of different types of generalized inverses, Appl. Math. Comput., (M20) vol.Vol 199, No. 1 (2008) 349 - 367.
  • [12] Karampetakis, N.P., Stanimirović, P. and Tasić, M., On the computation of the Drazin inverse of a polynomial matrix, Far East J Math Sci (FJMS), (M50) vol.Vol. 26 No. 1 (2007) 1 - 24.
  • [11] Stanimirović, S., Karampetakis, N.P. and Tasić, M., Computing generalized inverses of a rational matrix and applications, J. Appl. Math. & Computating, (M50) vol.Vol. 24 No. 1-2 (2007) 81 - 94.
  • [10] Stanimirović, P., Tasić, M., Krtolica, P and Karampetakis, N.P., Generalized inversion by interpolation, Filomat, (M50) vol.21:1 (2007) 67 - 86.
  • [9] Tasić, M., Stanimirović, P., Petković, M., Symbolic computation of weighted Moore–Penrose inverse using partitioning method, Appl. Math. Comput., (M20) vol.189 (2007) 615 - 640.
  • [8] Tasić, M., Stanimirović, P., Stanimirović, I., Petković, M., and Stojković, N., Some useful MATHEMATICA Teaching examples, Facta Univ. Ser.: Elec. Energ., (M50) vol.Vol. 18, No. 2 (2005) 329 - 344.
  • [7] Stanimirović, P., Tasić, M., A modification of Gradient method of convex programming and its implementation, J. Appl. Math. & Computating, (M50) vol.Vol 16 No. 1-2 (2004) 91 - 104.
  • [6] Stanimirović, P., Tasić, M., Partitioning method for rational and polynomial matrices, Appl. Math. Comput., (M20) vol.Vol 155 (1) (2004) 137 - 163.
  • [5] Stanimirović, P.,Tasić, M., , , (), ., A problem in computation of pseudoinverses, Appl. Math. Comput., (M20) vol.Vol 135 (2-3) (2003) 443 - 469. 
  • [4] Stanimirović, P., Tasić, M., Computing determinal representation of generalized inverses, Korean J. Comput & Appl.Math., (M50) vol.Vol 9 No. 2 (2002) 349 - 359.
  • [3] Stanimirović, P., Tasić, M., Drazin Inverse of One-Variable Polynomial Matrices, Filomat, (M50) vol.Vol 15 (2001) 71 - 78.
  • [2] Stanimirović, P., Tasić, M., Ristić, M., Simbolic implementation of the Hooke-Jeeves method, YUJOR, (M50) vol.9:2 (1999) 285 - 300.
  • [1] Stanimirović, P., Rančić, S., Tasić, M., Repetitive applications of functions as arguments in programming languages, LIRA '97 Novi Sad, (M50) (1997) 231 - 238.

COURSES

University of Niš, Serbia

Bachelor Degree Courses
Course title: Intro to Web programming, Study programs: Computer Science, Mathematics; Semester: 2; Lectures per week: 3 hours; Status: compulsory;
Course title: Intro to Databases, Study programs: Computer Science, Mathematics; Semester: 3; Lectures per week: 3 hours; Status: compulsory;
Master Degree Courses
Course title: Databases, Study programs: Computer Science, Mathematics; Semester: 1; Lectures per week: 3 hours; Status: compulsory;
Course title: Processing Large Datasets, Study programs: Computer Science, Mathematics; Semester: 3; Lectures per week: 3 hours; Status: compulsory;
PhD Degree Courses
Course title: Object-oriented Analysis and Design, Study programs: Computer Science, Mathematics; Semester: 1; Lectures per week: 2 hours

Contact

If you have any questions, need more information or just want to tell me your opinion, please don't hesitate to contact me.

Contact Details

Milan B. Tasić
Email-Home: milan12t@gmail.com,
Email-Work: milan.tasic@pmf.edu.rs
Web: www.pmf.ni.ac.rs/mtasic