The travelling salesman problem (TSP) remains one of the most challenging NP‐hard problems in combinatorial optimisation, with significant implications for logistics, network design and route planning ...
Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...
Not long ago, a team of researchers from Stanford and McGill universities broke a 35-year record in computer science by an almost imperceptible margin — four hundredths of a trillionth of a trillionth ...
In this paper we introduce two general techniques for the design and analysis of approximation algorithms for NP-hard scheduling problems in which the objective is to minimize the weighted sum of the ...
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Cracking the code of complexity in computer science's P vs. NP problem
New research from the University of Waterloo is making inroads on one of the biggest problems in theoretical computer science ...
Many important and valuable planning and scheduling problems in logistics and automation are combinatorial optimization problems. The most famous problem of this type is the traveling salesman problem ...
This course studies approximation algorithms – algorithms that are used for solving hard optimization problems. Such algorithms find approximate (slightly suboptimal) solutions to optimization ...
Imagine a parallel universe where physicists are remunerated so handsomely that they can accumulate multitudinous assets. In this alternate universe, you naturally wish to share your good fortune, so ...
Nathan Klein receives funding from the National Science Foundation. Computers are good at answering questions. What’s the shortest route from my house to Area 51? Is 8,675,309 a prime number? How many ...
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