Search results for "Data Structures and Algorithms in Java"
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Parameterized Algorithms
This comprehensive textbook presents a clean and coherent account of most fundamental tools and techniques in Parameterized Algorithms and is a self-contained guide to the area. The book covers many of the recent developments of the field, including application of important separators, branching based on linear programming, Cut & Count to obtain faster algorithms on tree decompositions, algorithms based on representative families of matroids, and use of the Strong Exponential Time Hypothesis. A number of older results are revisited and explained in a modern and didactic way.The book provides a toolbox of algorithmic techniques. Part I is an overview of basic techniques, each chapter discussing a certain algorithmic paradigm. The material covered in this part can be used for an introductory course on fixed-parameter tractability. Part II discusses more advanced and specialized algorithmic ideas, bringing the reader to the cutting edge of current research. Part III presents complexity results and lower bounds, giving negative evidence by way of W[1]-hardness, the Exponential Time Hypothesis, and kernelization lower bounds.All the results and concepts are introduced at a level accessible to graduate students and advanced undergraduate students. Every chapter is accompanied by exercises, many with hints, while the bibliographic notes point to original publications and related work.
R 2,198.00
Algorithmen
Zu den wichtigen und fundamentalen Konzepten der Informatik gehört sicher das des Algorithmus. Seit man sich mit Maschinen beschäftigt, die einfache mathematische Operationen ausführen können, befaßt man sich mit den Problemen, was überhaupt berechnet werden kann und wie diese Berechnungen effizient durchgeführt werden können. Durch die Erfindung des Computers wurde die Behandlung dieser Fragen stark ge fördert; dies hat zur Entdeckung vieler wichtiger und ideenreicher Algorithmen geführt. Das Studium von Algorithmen ist ein besonderes Anliegen der Informatik. In diesem Buch wollen wir die Kenntnisse über Algorithmen in zusammenhängender Weise so darstellen, daß sowohl Stu denten als auch in der Praxis Tätige den Entwurf und die Analyse neuer Algorithmen erlernen können. Ein Buch, das jeden Algorithmus enthält, der jemals erfunden wur de, müßte einen enormen Umfang haben. Daher beschränkt man sich übli cherweise bei Büchern über Algorithmen auf wenige Problembereiche, die dann im Detail behandelt werden. Zu jedem speziellen Problem wird der effizienteste Lösungsalgorithmus vorgestellt und analysiert. Da wir mehrere Jahre lang Kurse nach dieser Methode abgehalten haben, kennen wir den großen Nachteil dieses Verfahrens. Der Student lernt zwar viele schnelle Algorithmen kennen und kann diese auch analysie ren, im Entwurf guter Algorithmen bleibt er aber unsicher.
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R 6,258.00
Evolutionary Algorithms for Mobile Ad Hoc Networks
Describes how evolutionary algorithms (EAs) can be used to identify, model, and minimize day-to-day problems that arise for researchers in optimization and mobile networking Mobile ad hoc networks (MANETs), vehicular networks (VANETs), sensor networks (SNs), and hybrid networks—each of these require a designer’s keen sense and knowledge of evolutionary algorithms in order to help with the common issues that plague professionals involved in optimization and mobile networking. This book introduces readers to both mobile ad hoc networks and evolutionary algorithms, presenting basic concepts as well as detailed descriptions of each. It demonstrates how metaheuristics and evolutionary algorithms (EAs) can be used to help provide low-cost operations in the optimization process—allowing designers to put some “intelligence” or sophistication into the design. It also offers efficient and accurate information on dissemination algorithms, topology management, and mobility models to address challenges in the field. Evolutionary Algorithms for Mobile Ad Hoc Networks: Instructs on how to identify, model, and optimize solutions to problems that arise in daily researchPresents complete and up-to-date surveys on topics like network and mobility simulatorsProvides sample problems along with solutions/descriptions used to solve each, with performance comparisonsCovers current, relevant issues in mobile networks, like energy use, broadcasting performance, device mobility, and more Evolutionary Algorithms for Mobile Ad Hoc Networks is an ideal book for researchers and students involved in mobile networks, optimization, advanced search techniques, and multi-objective optimization.
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