- case-insensitive prefix search: default
e.g., sig matches "SIGIR" as well as "signal"
- exact word search: append dollar sign ($) to word
e.g., graph$ matches "graph", but not "graphics"
- boolean and: separate words by space
e.g., codd model
- boolean or: connect words by pipe symbol (|)
Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.
found 10 matches
- Sunyoung Kim, Masakazu Kojima:
Binary quadratic optimization problems that are difficult to solve by conic relaxations. Discret. Optim. 24: 170-183 (2017)
- Jean Chamberlain Chedjou, Kyandoghere Kyamakya:
Benchmarking a recurrent neural network based efficient shortest path problem (SPP) solver concept under difficult dynamic parameter settings conditions. Neurocomputing 196: 175-209 (2016)
- Farhan Ahammed, Pablo Moscato:
Evolving L-Systems as an Intelligent Design Approach to Find Classes of Difficult-to-Solve Traveling Salesman Problem Instances. EvoApplications (1) 2011: 1-11
- Francis J. Vasko, Christopher L. Bartkowski:
Using Wang's two-dimensional cutting stock algorithm to optimally solve difficult problems. Int. Trans. Oper. Res. 16(6): 829-838 (2009)
- Dale Kristof, Keith W. Jones, Dale Patrick, Jeffry Ramsey:
Complex problems: What makes them complex and difficult to solve? CTS 2007: 199-211
- Jano I. van Hemert:
Evolving Combinatorial Problem Instances That Are Difficult to Solve. Evol. Comput. 14(4): 433-462 (2006)
- Serge Sharoff, Bogdan Babych, Anthony Hartley:
Using Comparable Corpora to Solve Problems Difficult for Human Translators. ACL 2006
- Marco Dorigo:
Ant Algorithms Solve Difficult Optimization Problems. ECAL 2001: 11-22
- Narendra Karmarkar, Mauricio G. C. Resende, K. G. Ramakrishnan:
An interior point algorithm to solve computationally difficult set covering problems. Math. Program. 52: 597-618 (1991)
- Andrew G. Barto, Richard S. Sutton, Charles W. Anderson:
Neuronlike adaptive elements that can solve difficult learning control problems. IEEE Trans. Syst. Man Cybern. 13(5): 834-846 (1983)
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