Examples of using Combinatorial optimization in English and their translations into Hungarian
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What, combinatorial optimization?
Operations reasearch and combinatorial optimization.
Combinatorial optimization problems such as parsing and the knapsack problem.
It's a classic combinatorial optimization problem.
The subject introduces some areas of operations research and combinatorial optimization.
Researcher in combinatorial optimization and operations research.
And it only does one thing- and that's solving combinatorial optimization problems.
Discrete Mathematics and Combinatorial Optimization and Mathematical Structures in Computer Science.
Fujitsu Laboratories is working with University of Toronto researchers in Japan to develop a computing architecture that addresses combinatorial optimization problems.
This Problem is a NP-hard combinatorial optimization problem.
It is often the most convenient(if not the most efficient[citation needed]) technique for parsing,[4]for the knapsack problem and other combinatorial optimization problems.
Continuous optimization Combinatorial optimization===* R. K. Ahuja, Thomas I. Magnanti, and James B. Orlin(1993).
Determining the optimal solution to VRP is NP-hard, sothe size of problems that can be solved, optimally, using mathematical programming or combinatorial optimization may be limited.
Discrete Mathematics and Combinatorial Optimization and Mathematical Structures in Computer Science provide advanced knowledge in the fields of applied ma.
Maßberg, Jens(2015): Geometrical and combinatorial optimization problems.
Further examples of combinatorial optimization use cases include improving the efficiency of truck loading for transport and logistics organizations.
Dr. Fleiner Tamás: graph theory, game theory, combinatorial optimization, stable matchings.
Combinatorial optimization, performance analysis techniques, computational geometry, formal languages and machines, graph algorithms, and algorithmic combinatorial game theory.
Branch and bound(BB, B&B, or BnB)is an algorithm design paradigm for discrete and combinatorial optimization problems, as well as mathematical optimization. .
The resulting highly-complex combinatorial optimization problem would require extremely long compute times utilizing classical processors.
Modeling and solving optimization problems in the field of production and logistics, production planning and scheduling,constraint programming, combinatorial optimization.
These systems essentially solve complex combinatorial optimization problems by exploring a huge number of possibilities to find the best possible value, that is, the optimal solution.
Judin, Arkadi Nemirovski, Leonid Khachiyan, Martin Grötschel, László Lovász andAlexander Schrijver for the ellipsoid method in linear programming and combinatorial optimization.
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.
Well, it is hugely beneficial, as every industry from automotive, finance, healthcare,retail to the public sector faces countless complex combinatorial optimization problems.
The topics covered by the PhD Program comprise most ofpure mathematics including computer science, combinatorial optimization, statistical and mathematical physics, as well as most of applied mathematics including the full spectrum of operations research and statistics.
Combinatorial optimization applies the structures of discrete mathematics and the tools of theoretical computer science for solving, in a computationally effective way, such problems where even the fastest computers would require millions of years to try every possibility due to the large size and the complexity of the problems.
Discrete geometry has a large overlap with convex geometry and computational geometry,and is closely related to subjects such as finite geometry, combinatorial optimization, digital geometry, discrete differential geometry, geometric graph theory, toric geometry, and combinatorial topology.