000 | a | ||
---|---|---|---|
999 |
_c30298 _d30298 |
||
008 | 211022b xxu||||| |||| 00| 0 eng d | ||
020 | _a9780198856740 | ||
082 |
_a511.5 _bZVE |
||
100 | _aZverovich, Vadim | ||
245 | _aModern applications of graph theory | ||
260 |
_bOxford University Press, _c2021 _aOxford : |
||
300 |
_axii, 393 p. ; _bill. (some col.), _c24 cm |
||
365 |
_b80.00 _cGBP _d105.50 |
||
504 | _aIncludes bibliographical references and index. | ||
520 | _aModern Applications of Graph Theory' discusses many cutting-edge applications of graph theory, such as traffic networks, navigable networks and optimal routing for emergency response, placement of electric vehicle charging stations, and graph-theoretic methods in molecular epidemiology. Due to the rapid growth of research in this field, the focus of the book is on the up-to-date development of these applications and the mathematical methods used to tackle them. | ||
650 | _aGraph theory | ||
650 | _aTransport network | ||
650 | _aCombinatorics of graph theory | ||
650 | _aApplied Mathematics | ||
650 | _aDijkstra's | ||
650 | _a Altruistic variant | ||
650 | _aAnalytic Hierarchy Process | ||
650 | _a Breadth - First Search | ||
650 | _aComparison matrix | ||
650 | _aDHE | ||
650 | _a Genetic network | ||
650 | _a Logical network | ||
650 | _aRoad network | ||
650 | _a Quasispecies model | ||
650 | _aTessellation | ||
650 | _aTransmission cluster | ||
650 | _aViral populationn | ||
650 | _aBraess Paradox | ||
650 | _aWSN | ||
650 | _aKruskal algorithm | ||
650 | _aEpidemology | ||
942 |
_2ddc _cBK |