Search results for "data structures and algorithms in java"
Items we need to order for you
Bioinformatics Algorithms
Presents algorithmic techniques for solving problems in bioinformatics, including applications that shed new light on molecular biology This book introduces algorithmic techniques in bioinformatics, emphasizing their application to solving novel problems in post-genomic molecular biology. Beginning with a thought-provoking discussion on the role of algorithms in twenty-first-century bioinformatics education, Bioinformatics Algorithms covers: General algorithmic techniques, including dynamic programming, graph-theoretical methods, hidden Markov models, the fast Fourier transform, seeding, and approximation algorithms Algorithms and tools for genome and sequence analysis, including formal and approximate models for gene clusters, advanced algorithms for non-overlapping local alignments and genome tilings, multiplex PCR primer set selection, and sequence/network motif finding Microarray design and analysis, including algorithms for microarray physical design, missing value imputation, and meta-analysis of gene expression data Algorithmic issues arising in the analysis of genetic variation across human population, including computational inference of haplotypes from genotype data and disease association search in case/control epidemiologic studies Algorithmic approaches in structural and systems biology, including topological and structural classification in biochemistry, and prediction of protein-protein and domain-domain interactions Each chapter begins with a self-contained introduction to a computational problem; continues with a brief review of the existing literature on the subject and an in-depth description of recent algorithmic and methodological developments; and concludes with a brief experimental study and a discussion of open research challenges. This clear and approachable presentation makes the book appropriate for researchers, practitioners, and graduate students alike.
R 6,446.00
R 550.00
R 708.00
Algorithms: A Top-down Approach
This comprehensive compendium provides a rigorous framework to tackle the daunting challenges of designing correct and efficient algorithms. It gives a uniform approach to the design, analysis, optimization, and verification of algorithms. The volume also provides essential tools to understand algorithms and their associated data structures.This useful reference text describes a way of thinking that eases the task of proving algorithm correctness. Working through a proof of correctness reveals an algorithm's subtleties in a way that a typical description does not. Algorithm analysis is presented using careful definitions that make the analyses mathematically rigorous.Related Link(s)
R 6,002.37
Graph Algorithms
Shimon Even's Graph Algorithms, published in 1979, was a seminal introductory book on algorithms read by everyone engaged in the field. This thoroughly revised second edition, with a foreword by Richard M. Karp and notes by Andrew V. Goldberg, continues the exceptional presentation from the first edition and explains algorithms in a formal but simple language with a direct and intuitive presentation. The book begins by covering basic material, including graphs and shortest paths, trees, depth-first-search and breadth-first search. The main part of the book is devoted to network flows and applications of network flows, and it ends with chapters on planar graphs and testing graph planarity.
R 4,319.67
R 1,352.55
R 535.00
R 957.69
R 671.00
R 683.00
R 611.00
Graph Algorithms
Shimon Even's Graph Algorithms, published in 1979, was a seminal introductory book on algorithms read by everyone engaged in the field. This thoroughly revised second edition, with a foreword by Richard M. Karp and notes by Andrew V. Goldberg, continues the exceptional presentation from the first edition and explains algorithms in a formal but simple language with a direct and intuitive presentation. The book begins by covering basic material, including graphs and shortest paths, trees, depth-first-search and breadth-first search. The main part of the book is devoted to network flows and applications of network flows, and it ends with chapters on planar graphs and testing graph planarity.
R 1,854.96
R 1,544.76
Introduction to the Design and Analysis of Algorithms
Based on a new classification of algorithm design techniques and a clear delineation of analysis methods, Introduction to the Design and Analysis of Algorithms presents the subject in a coherent and innovative manner. Written in a student-friendly style, the book emphasizes the understanding of ideas over excessively formal treatment while thoroughly covering the material required in an introductory algorithms course. Popular puzzles are used to motivate students' interest and strengthen their skills in algorithmic problem solving. Other learning-enhancement features include chapter summaries, hints to the exercises, and a detailed solution manual.
R 6,473.00
Algorithms and Architectures for Parallel Processing
The three volume set LNCS 13155, 13156, and 13157 constitutes the refereed proceedings of the 21st International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2021, which was held online during December 3-5, 2021. The total of 145 full papers included in these proceedings were carefully reviewed and selected from 403 submissions. They cover the many dimensions of parallel algorithms and architectures including fundamental theoretical approaches, practical experimental projects, and commercial components and systems. The papers were organized in topical sections as follows:Part I, LNCS 13155: Deep learning models and applications; software systems and efficient algorithms; edge computing and edge intelligence; service dependability and security algorithms; data science; Part II, LNCS 13156: Software systems and efficient algorithms; parallel and distributed algorithms and applications; data science; edge computing and edge intelligence; blockchain systems; deept learning models and applications; IoT; Part III, LNCS 13157: Blockchain systems; data science; distributed and network-based computing; edge computing and edge intelligence; service dependability and security algorithms; software systems and efficient algorithms.
R 4,730.43
R 611.00
R 492.00
R 4,445.00
R 611.00
R 611.00
R 544.00
R 794.00
Evolutionary Algorithms
Evolutionary algorithms are bio-inspired algorithms based on Darwin’s theory of evolution. They are expected to provide non-optimal but good quality solutions to problems whose resolution is impracticable by exact methods. In six chapters, this book presents the essential knowledge required to efficiently implement evolutionary algorithms. Chapter 1 describes a generic evolutionary algorithm as well as the basic operators that compose it. Chapter 2 is devoted to the solving of continuous optimization problems, without constraint. Three leading approaches are described and compared on a set of test functions. Chapter 3 considers continuous optimization problems with constraints. Various approaches suitable for evolutionary methods are presented. Chapter 4 is related to combinatorial optimization. It provides a catalog of variation operators to deal with order-based problems. Chapter 5 introduces the basic notions required to understand the issue of multi-objective optimization and a variety of approaches for its application. Finally, Chapter 6 describes different approaches of genetic programming able to evolve computer programs in the context of machine learning.
R 5,795.00
R 611.00
R 945.95
R 1,143.68
R 763.00
R 1,152.64
R 1,025.55
R 2,227.52
R 519.00
R 704.00
Algorithmentheorie
Die Algorithmentheorie ist Ende der dreiBiger Jahre entstanden in Ver- bindung mit Problemen der mathematischen Logik. Hit dem Aufkommen einer wissenschaftlich fundierten Informatik hat sie, insbesondere in den letzten zwanzig Jahren, an Bedeutung und Tragweite gewonnen. Das wird begreiflich, wenn man bedenkt, daB ein Programm flir eine elektronische Rechenanlage im wesentlichen ein Algorithmus ist und daB Resultate der Algorithmentheorie deshalb auch auf Programme anwendbar sind. Insbeson- dere gibt es eine enge Verbindung zwischen der Algorithmentheorie und anderen flir die Informatik bedeutsamen Zweigen, wie der Automatentheorie, der Theorie der formalen Sprachen und der sich in den letzten Jahren heranbildenden Theorie der Programmierung. Wahrend die meisten Blicher liber Algorithmentheorie sich an Studenten der mathematischen Logik richten, ist dieses Buch flir Informatikstuden- ten bestimmt. Zwar wird das Thema mit mathematischer Scharfe behandelt, aber es werden keine besonderen mathematischen Kenntnisse vorausgesetzt und die zahlreichen Kommentare zielen daraufhin, ein gutes intuitives Verstandnis zu ermoglichen; auBerdem hebt das Buch regelmaBig die Be- deutung der Resultate flir die Informatik hervor. SchlieBlich sind die Notationen und bestimmte Beweismethoden der Automatentheorie und der Theorie der formalen Sprachen entnommen; insbesondere wird grundsatz- lich mit Worten statt mit natlirlichen Zahlen gearbeitet.
R 2,442.03
R 608.00
R 6,258.00
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.
R 2,038.95
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.
R 4,036.00
R 458.00
R 703.94
R 611.00
