“Papers of School of Mathematics”
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Optimality conditions in optimization problems with convex feasible set using convexificators,
Math. Meth. Oper. Res. 86(2017), 103-121 [abstract]
462. S. Nobakhtian (Joint with A. Ansari Ardali and N. Movahedian),
Convexificators and boundedness of the Kuhn-Tucker multipliers set,
Optimization 66(2017), 1445-1463 [abstract]
463. S. Khoshkhabar-Amiranloo,
Stability of minimal solutions to parametric set optimization problems,
Appl. Anal. (2017), DOI: 10.1080/00036811.2017.1376320 [abstract]
464. M. Kamrani (Joint with D. Blomker),
Pathwise convergence of a numerical method for stochastic partial differential equations with correlated noise and local Lipschitz condition,
J. Comput. Appl. Math. 323(2017), 123-135 [abstract]
465. A. Amini-Harandi and M. Fakhar (Joint with M. Goli and H. R. Hajisharifi),
Some Fixed point theorems for non-self mappings of contractive type with applications to endpoint theory,
J. Fixed Point Theory Appl. (2017), DOI: 10.1007/s11784-017-0428-y [abstract]
466. M. R. Oboudi,
On the difference between the spectral radius and the maximum degree of graphs,
Algebra Discrete Math. 24(2017), 302-307 [abstract]
467. M. Sayadi Shahraki (Joint with H. Mansouri and M. Zangiabadi),
Two wide neighborhood interior-point methods for symmetric cone optimization,
Comput. Optim. Appl. 68(2017), 29-55 [abstract]
468. D. Mirzaei,
Direct approximation on spheres using generalized moving least squares,
BIT Numer. Math. (2017), DOI: 10.1007/s10543-017-0659-8 [abstract]
469. A. Hosseini (Joint with M. J. Ebadi and M. M. Hosseini),
A projection type steepest descent neural network for solving a class of nonsmooth optimization problems,
Neurocomputing 235(2017), 164-181 [abstract]
470. M. Asadi,
A new measure of association between random variables,
Metrika (2017), DOI: 10.1007/s00184-017-0620-5 [abstract]
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