Examples of using Mathematical programming in English and their translations into Greek
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Computer
Positive mathematical programming.
Energy planning in tertiary sector by using Mathematical Programming.
Summary of Mathematical Programming.
Mathematical programming for cost minimization or profit maximization.
Each sub-problem can be solved easily and quickly through mathematical programming.
How to do mathematical programming in LaTeX?
Long-term planning of Greek power sector using Mathematical Programming.
Advanced mathematical programming methods for the computation of user equilibrium in urban road networks Creator.
The implementation of multi-objective mathematical programming in process optimization.
The purpose of this course is the in-depth understanding of the theory and applications of Mathematical Programming.
This course examines the theory and the algorithms of Mathematical Programming and their relations to other areas(e.g., Game Theory).
The use of Mathematical Programming algorithms for problem solving but also the design of their variants for special problem cases.
Methodologies employed by systems engineers include probability and statistics, mathematical programming, computer simulation, and human performance studies.
Advanced courses include Mathematical programming and Operations research, Group theory, Computer algebra, Numerical methods and applied computer science.
His research interests included mathematical programming, linear programming and network flows, design and analysis of algorithms, and data structures.
His research is focused in the areas of Combinatorial Optimisation and Integer Programming, having published in journals like Mathematical Programming, Mathematics of Operations Research and SIAM Journal of Discrete Mathematics.
The course covers topics of Mathematical Programming and Financial Optimization and Decision Theory that constitute basic research tools in Finance and Economics.
It is expected that all students during their first and second year acquire knowledge in mathematics, in modeling,in optimization and mathematical programming, in probability theory and statistics(a graduate or two undergraduate courses), in stochastic processes and in econometrics(two econometric theory courses).
His research interests focus on:(a)Development of mathematical programming models and computational optimization methods for operational research problems;(b) Management of transportation networks, freight transportation& distribution logistics systems,(c) Production and service operations management, and(d) Study and minimization of the environmental impact of transportation logistics.
Her main responsibilities included project management in the Logistics Department, mathematical programming tools managing to optimise the total cost of the supply chain, as well as the establishment and monitoring of the key performance indicators(KPI'S) of the department.
Competences: Resolution of complex and multi-faceted problems using computer programming, mathematical modelling, and financial-technical evaluation of solution feasibility, and application of methods for strategic administration.