Examples of using Combinatorial optimization in English and their translations into Greek
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Lems in combinatorial optimization.
An introduction to parallelism in combinatorial optimization.
Combinatorial Optimization(7th Semester).
Integer and Combinatorial Optimization.
Combinatorial optimization is the study of optimization on discrete and combinatorial objects.
Discrete and Combinatorial Optimization.
United States for his outstanding contributions to combinatorics,theoretical computer science and combinatorial optimization.
Linear and Combinatorial Optimization.
Applications of operational research The aim is to introduce the students to the fundamental principles of integer programming and combinatorial optimization and their applications.
Summary of Combinatorial Optimization.
Aspects include"counting" the objects satisfying certain criteria(enumerative combinatorics), deciding when the criteria can be met, and constructing and analyzing objects meeting the criteria(as in combinatorial designs and matroid theory), finding"largest","smallest",or"optimal" objects(extremal combinatorics and combinatorial optimization), and finding algebraic structures these objects may have(algebraic combinatorics).
Advances in combinatorial optimization.
Combinatorial optimization, performance analysis techniques, computational geometry, formal languages and machines, graph algorithms, and algorithmic combinatorial game theory.
Progress in Combinatorial Optimization.
You're treating it As a combinatorial optimization problem?
The term combinatorial optimization is typically used when the goal is to find a sub-structure with a maximum(or minimum) value of some parameter.
Design and analysis of algorithms, combinatorial optimization.
It is an NP-hard problem in combinatorial optimization, important in operations research and theoretical computer science.
Efficient solutions to the vehicle routing problem require tools from combinatorial optimization and integer programming.
Integer programming and combinatorial optimization course is a course of the 6th semester of the department of Mechanical Engineering at the University of Thessaly.
He holds a PhD in operational research regarding models andmethods of multi-objective combinatorial optimization in operational research, energy planning and econometrics.
The study plans Discrete Mathematics and Combinatorial Optimization and Mathematical Structures in Computer Science provide advanced knowledge in the fields of applied mathematics and computer science.
Aspects of combinatorics include counting the structures of a given kind and size( enumerative combinatorics), deciding when certain criteria can be met, and constructing and analyzing objects meeting the criteria( as in combinatorial designs and matroid theory), finding" largest"," smallest",or" optimal" objects( extremal combinatorics and combinatorial optimization), and studying combinatorial structures arising in an algebraic context, or applying algebraic techniques to combinatorial problems( algebraic combinatorics).
Central theme of discrete(or,otherwise, combinatorial) optimization is the flow theory in networks.
Recently, many approaches have been developed that link the discrete space of combinatorial optimization to the continuous space of nonlinear optimization through geometric, analytic, and algebraic techniques.