On the complexity of analyticity in semi-definite optimization
Published by
Advances in Applied Mathematics
Summary
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Ali Mohammad Nezhad
About
The focus of my research is centered on computational complexity in optimization through the lens of algebraic geometry, differential geometry, and algebraic topology.
Work
University of North Carolina at Chapel Hill
|Assistant Professor
US
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Carnegie Mellon University
|Postdoctoral Research Associate
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Purdue University
|Golomb Visiting Assistant Professor
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Lehigh University
|Visiting Scholar
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Purdue University
|Postdoctoral Research Assistant
US
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Education
Lehigh University
United States of America
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PhD
Sharif University of Technology
Iran (Islamic Republic of)
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Master of Science
Publications
Improved effective Łojasiewicz inequality and applications
Published by
Forum of Mathematics, Sigma
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On Computing the Nonlinearity Interval in Parametric Semidefinite Optimization
Published by
Mathematics of Operations Research
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On the Central Path of Semidefinite Optimization: Degree and Worst-Case Convergence Rate
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SIAM Journal on Applied Algebra and Geometry
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Mixed-integer second-order cone optimization for composite discrete ply-angle and thickness topology optimization problems
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Optimization and Engineering
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On the sensitivity of the optimal partition for parametric second-order conic optimization
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Mathematical Programming
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On the identification of the optimal partition for semidefinite optimization
Published by
INFOR: Information Systems and Operational Research
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Parametric analysis of semidefinite optimization
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Optimization
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Quadratic convergence to the optimal solution of second-order conic optimization without strict complementarity
Published by
Optimization Methods and Software
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A rounding procedure for semidefinite optimization
Published by
Operations Research Letters
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A novel approach to discrete truss design problems using mixed integer neighborhood search
Published by
Structural and Multidisciplinary Optimization
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A polynomial primal-dual affine scaling algorithm for symmetric conic optimization
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Computational Optimization and Applications
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An artificial neural network meta-model for constrained simulation optimization
Published by
Journal of the Operational Research Society
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A particle swarm-BFGS algorithm for nonlinear programming problems
Published by
Computers and Operations Research
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Lagrangian relaxation heuristics for the uncapacitated single-source multi-product facility location problem
Published by
International Journal of Production Economics
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A revised particle swarm optimization based discrete Lagrange multipliers method for nonlinear programming problems
Published by
Computers and Operations Research
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