000			01647nam a22002177a 4500
005			20260428163307.0
008			260428b |||||||| |||| 00| 0 eng d
020			_a9781009349185
028			_a: Samyak Vidyasagar _b: Ghaziabad, Uttar Pradesh
082			_a005.1 VAZ
100			_aVaze, Rahul.
245			_a Online algorithms _cRahul Vaze.
260			_aBerlin _b : Springer _c, 1998.
300			_ax,436p _c: 24cm.
520			_aOnline algorithms are a rich area of research with widespread applications in scheduling, combinatorial optimization, and resource allocation problems. This lucid textbook provides an easy but rigorous introduction to online algorithms for graduate and senior undergraduate students. In-depth coverage of most of the important topics is presented with special emphasis on elegant analysis. The book starts with classical online paradigms like the ski-rental, paging, list-accessing, bin packing, where performance of online algorithms is studied under the worst-case input and moves on to newer paradigms like 'beyond worst case', where online algorithms are augmented with predictions using machine learning algorithms. The book goes on to cover multiple applied problems such as routing in communication networks, server provisioning in cloud systems, communication with energy harvested from renewable sources, and sub-modular partitioning. Finally, a wide range of solved examples and practice exercises are included, allowing hands-on exposure to the concepts.
650			_aCombinatorial optimization
650			_aAlgorithms
650			_aMachine learning
700			_aRahul Vaze
942			_cBOOK
999			_c67974 _d67974