1995 - ACM Fellow For fundamental contributions to the theory of complexity and algorithms and for outstanding service to ACM.
Michael Randolph Garey mainly focuses on Combinatorics, Calculus, Completeness, Discrete mathematics and Algorithm. Michael Randolph Garey has included themes like Embedding and Planar in his Combinatorics study. Completeness is often connected to Theoretical computer science in his work.
His Discrete mathematics research includes elements of Tree and Net. The Square packing in a square, Bin and Bin packing problem research he does as part of his general Algorithm study is frequently linked to other disciplines of science, such as Complete and Karp's 21 NP-complete problems, therefore creating a link between diverse domains of science. His Square packing in a square research is multidisciplinary, incorporating elements of Computation and Real number.
His scientific interests lie mostly in Combinatorics, Discrete mathematics, Bin packing problem, Algorithm and Mathematical optimization. In his work, Theoretical computer science is strongly intertwined with Approximation algorithm, which is a subfield of Bin packing problem. His Algorithm study integrates concerns from other disciplines, such as Completeness, Binary number and Heuristic.
In his study, Computational complexity theory is strongly linked to Time complexity, which falls under the umbrella field of Mathematical optimization. He studied Greedy coloring and Fractional coloring that intersect with List coloring and Complete coloring. As a part of the same scientific family, Michael Randolph Garey mostly works in the field of Hamiltonian path problem, focusing on Planar graph and, on occasion, Vertex cover.
His primary areas of investigation include Discrete mathematics, Bin packing problem, Combinatorics, Completeness and Calculus. His Discrete mathematics study combines topics from a wide range of disciplines, such as Reachability and Applied mathematics. His Bin packing problem study incorporates themes from Space, General theorem, Approximation algorithm and Constant.
He has researched Approximation algorithm in several fields, including Randomized algorithm and Interval. In the subject of general Combinatorics, his work in Hypergraph, Covering number, Integer and Line graph is often linked to Distribution, thereby combining diverse domains of study. His Square packing in a square research is included under the broader classification of Algorithm.
Michael Randolph Garey mostly deals with Completeness, Calculus, Discrete mathematics, Best bin first and Square packing in a square. His Discrete mathematics study focuses mostly on Line graph, Graph product, Graph power, 1-planar graph and Graph toughness. His Best bin first investigation overlaps with other areas such as Approximation algorithm, Bin packing problem, Bin and Algorithm.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Computers and Intractability: A Guide to the Theory of NP-Completeness
Michael R. Garey;David S. Johnson.
(1979)
Computers and Intractability: A Guide to the Theory of NP-Completeness
Michael R. Garey;David S. Johnson.
(1979)
Johnson: computers and intractability: a guide to the theory of np- completeness (freeman
Michael Randolph Garey.
(1979)
Johnson: computers and intractability: a guide to the theory of np- completeness (freeman
Michael Randolph Garey.
(1979)
A guide to the theory of np-completeness
Michael Randolph Garey;David S. Johnson.
(1978)
A guide to the theory of np-completeness
Michael Randolph Garey;David S. Johnson.
(1978)
Computers and Intractability: A Guide to the Theory of NP-Completeness
Michael Randolph Garey;D. S. Johanson.
AE (1999)
Computers and Intractability: A Guide to the Theory of NP-Completeness
Michael Randolph Garey;D. S. Johanson.
AE (1999)
Some simplified NP-complete problems
M. R. Garey;D. S. Johnson;L. Stockmeyer.
symposium on the theory of computing (1974)
Some simplified NP-complete problems
M. R. Garey;D. S. Johnson;L. Stockmeyer.
symposium on the theory of computing (1974)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
AT&T (United States)
Columbia University
University of California, San Diego
Princeton University
Stanford University
Columbia University
Columbia University
MIT
University of California, San Diego
University of Cambridge
University of Sharjah
City University of Hong Kong
University of Verona
Foundation for Research and Technology Hellas
Arizona State University
Radboud University Nijmegen
Université Savoie Mont Blanc
University of the West Indies
Aarhus University
Cardiff University
Washington University in St. Louis
Cold Regions Research and Engineering Laboratory
University of Amsterdam
Centers for Disease Control and Prevention
The Oncology Group
University of Cambridge