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Algorithms and Discrete Applied Mathematics: 6th International Conference, CALDAM 2020, Hyderabad, India, February 13–15, 2020, Proceedings (Lecture Notes in Computer Science #12016)
by Manoj Changat Sandip DasThis book constitutes the proceedings of the 6th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2020, held in Hyderabad, India, in February 2020. The 38 papers presented together with 2 invited talks in this volume were carefully reviewed and selected from 102 submissions. The papers are organized in topical sections on graph algorithms, graph theory, combinatorial optimization, distributed algorithms, combinatorial algorithms, and computational complexity.
Algorithms and Discrete Applied Mathematics: 11th International Conference, CALDAM 2025, Coimbatore, India, February 13–15, 2025, Proceedings (Lecture Notes in Computer Science #15536)
by Daya Gaur Rogers MathewThis book constitutes the refereed proceedings of the 11th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2025, held in Coimbatore, India, during February 13–15, 2025. The 30 full papers included in this book were carefully reviewed and selected from 89 submissions.The conference had papers in algorithms and complexity, discrete applied mathematics, computational geometry, graph theory, graph colouring, graph partition, and domination in graphs.
Algorithms and Discrete Applied Mathematics: Third International Conference, CALDAM 2017, Sancoale, Goa, India, February 16-18, 2017, Proceedings (Lecture Notes in Computer Science #10156)
by Daya Gaur N. S. NarayanaswamyThis book constitutes the proceedings of the Third International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2017, held in Goa, India, in February 2017. The 32 papers presented in this volume were carefully reviewed and selected from 103 submissions. They deal with the following areas: algorithms, graph theory, codes, polyhedral combinatorics, computational geometry, and discrete geometry.
Algorithms and Discrete Applied Mathematics: 7th International Conference, CALDAM 2021, Rupnagar, India, February 11–13, 2021, Proceedings (Lecture Notes in Computer Science #12601)
by Apurva Mudgal C. R. SubramanianThis book constitutes the proceedings of the 7th International Conference on Algorithms and Discrete Applied Mathematics, CALDAM 2021, which was held in Rupnagar, India, during February 11-13, 2021. The 39 papers presented in this volume were carefully reviewed and selected from 82 submissions. The papers were organized in topical sections named: approximation algorithms; parameterized algorithms; computational geometry; graph theory; combinatorics and algorithms; graph algorithms; and computational complexity.
Algorithms and Models for the Web Graph: 15th International Workshop, WAW 2018, Moscow, Russia, May 17-18, 2018, Proceedings (Theoretical Computer Science and General Issues #10836)
by Anthony Bonato Paweł Prałat Andrei RaigorodskiiThis book constitutes the proceedings of the 15th International Workshop on Algorithms and Models for the Web Graph, WAW 2018, held in Moscow, Russia in May 2018.<P><P> The 11 full papers presented in this volume were carefully reviewed and selected from various submissions. The papers focus on topics like the information retrieval and data mining on the Web; Web as a text repository and as a graph, induced in various ways by link among pages, hosts and users; the understanding of graphs that arise from the Web and various user activities on the Web; stimulation of the development of high-performance algorithms and applications that exploit these graphs.
Algorithms and Programs of Dynamic Mixture Estimation: Unified Approach to Different Types of Components (SpringerBriefs in Statistics)
by Ivan Nagy Evgenia SuzdalevaThis book provides a general theoretical background for constructing the recursive Bayesian estimation algorithms for mixture models. It collects the recursive algorithms for estimating dynamic mixtures of various distributions and brings them in the unified form, providing a scheme for constructing the estimation algorithm for a mixture of components modeled by distributions with reproducible statistics. It offers the recursive estimation of dynamic mixtures, which are free of iterative processes and close to analytical solutions as much as possible. In addition, these methods can be used online and simultaneously perform learning, which improves their efficiency during estimation. The book includes detailed program codes for solving the presented theoretical tasks. Codes are implemented in the open source platform for engineering computations. The program codes given serve to illustrate the theory and demonstrate the work of the included algorithms.
Algorithms and Theory of Computation Handbook, Volume 1: General Concepts and Techniques (Chapman & Hall/CRC Applied Algorithms and Data Structures series)
by Mikhail J. Atallah Marina BlantonAlgorithms and Theory of Computation Handbook, Second Edition: General Concepts and Techniques provides an up-to-date compendium of fundamental computer science topics and techniques. It also illustrates how the topics and techniques come together to deliver efficient solutions to important practical problems. Along with updating and revising many
Algorithms and Theory of Computation Handbook, Volume 2: Special Topics and Techniques (Chapman & Hall/CRC Applied Algorithms and Data Structures series)
by Mikhail J. Atallah Marina BlantonAlgorithms and Theory of Computation Handbook, Second Edition: Special Topics and Techniques provides an up-to-date compendium of fundamental computer science topics and techniques. It also illustrates how the topics and techniques come together to deliver efficient solutions to important practical problems.Along with updating and revising many of
Algorithms for a New World: When Big Data and Mathematical Models Meet
by Alfio QuarteroniCovid-19 has shown us the importance of mathematical and statistical models to interpret reality, provide forecasts, and explore future scenarios. Algorithms, artificial neural networks, and machine learning help us discover the opportunities and pitfalls of a world governed by mathematics and artificial intelligence.
Algorithms for Computational Biology: Third International Conference, AlCoB 2016, Trujillo, Spain, June 21-22, 2016, Proceedings (Lecture Notes in Computer Science #9702)
by María Botón-Fernández Carlos Martín-Vide Sergio Santander-Jiménez Miguel A. Vega-RodríguezThis book constitutes the proceedings of the Third InternationalConference on Algorithms for Computational Biology, AlCoB 2016, held inTrujillo, Spain, in June 2016.The 13 full papers presented in this volume were carefully reviewed andselected from 23 submissions. They are organized in the following topical sections: biological networks and modelling; biological structure processing; phylogenetics; and sequence analysis and rearrangement. In addition one invited talk is included.
Algorithms for Computational Biology: 4th International Conference, AlCoB 2017, Aveiro, Portugal, June 5-6, 2017, Proceedings (Lecture Notes in Computer Science #10252)
by Daniel Figueiredo, Carlos Martín-Vide, Diogo Pratas and Miguel A. Vega-RodríguezThis book constitutes the proceedings of the 4th InternationalConference on Algorithms for Computational Biology, AlCoB 2017, held in Aveiro, Portugal, in June 2017. The 10 full papers presented together with 2 invited papers were carefully reviewed and selected from 24 submissions. They are organized in the following topical sections: Graph Algorithms for Computational Biology; Phylogenetics; and Sequence Analysis and Other Biological Processes.
Algorithms for Computational Biology: 8th International Conference, AlCoB 2021, Missoula, MT, USA, June 7–11, 2021, Proceedings (Lecture Notes in Computer Science #12715)
by Carlos Martín-Vide Miguel A. Vega-Rodríguez Travis WheelerThis book constitutes the proceedings of the 8th International Conference on Algorithms for Computational Biology, AlCoB 2020, was planned to be held in Missoula, MT, USA in June 2021. Due to the Covid-19 pandemic, AlCoB 2020 and AlCoB 2021 were merged and held on these dates together. AlCoB 2020 proceedings were published as LNBI 12099. The 12 full papers included in this volume were carefully reviewed and selected from 22 submissions. They were organized in topical sections on genomics, phylogenetics, and RNA-Seq and other biological processes. The scope of AlCoB includes topics of either theoretical or applied interest, namely: sequence analysis; sequence alignment; sequence assembly; genome rearrangement; regulatory motif finding; phylogeny reconstruction; phylogeny comparison; structure prediction; compressive genomics; proteomics: molecular pathways, interaction networks, mass spectrometry analysis; transcriptomics: splicing variants, isoform inference and quantification, differential analysis; next-generation sequencing: population genomics, metagenomics, metatranscriptomics, epigenomics; genome CD architecture; microbiome analysis; cancer computational biology; and systems biology.
Algorithms for Linear-Quadratic Optimization (Chapman And Hall/crc Pure And Applied Mathematics Ser. #200)
by Vasile SimaThis textbook offers theoretical, algorithmic and computational guidelines for solving the most frequently encountered linear-quadratic optimization problems. It provides an overview of recent advances in control and systems theory, numerical line algebra, numerical optimization, scientific computations and software engineering.
Algorithms for Minimization Without Derivatives (Dover Books on Mathematics)
by Richard P. BrentThis outstanding text for graduate students and researchers proposes improvements to existing algorithms, extends their related mathematical theories, and offers details on new algorithms for approximating local and global minima. None of the algorithms requires an evaluation of derivatives; all depend entirely on sequential function evaluation, a highly practical scenario in the frequent event of difficult-to-evaluate derivatives.Topics include the use of successive interpolation for finding simple zeros of a function and its derivatives; an algorithm with guaranteed convergence for finding a minimum of a function of one variation; global minimization given an upper bound on the second derivative; and a new algorithm for minimizing a function of several variables without calculating derivatives. Many numerical examples augment the text, along with a complete analysis of rate of convergence for most algorithms and error bounds that allow for the effect of rounding errors.
Algorithms for Next-Generation Sequencing (Chapman & Hall/CRC Computational Biology Series)
by Wing-Kin SungAdvances in sequencing technology have allowed scientists to study the human genome in greater depth and on a larger scale than ever before – as many as hundreds of millions of short reads in the course of a few days. But what are the best ways to deal with this flood of data? Algorithms for Next-Generation Sequencing is an invaluable tool for students and researchers in bioinformatics and computational biology, biologists seeking to process and manage the data generated by next-generation sequencing, and as a textbook or a self-study resource. In addition to offering an in-depth description of the algorithms for processing sequencing data, it also presents useful case studies describing the applications of this technology.
Algorithms for Robotic Motion and Manipulation: WAFR 1996
by Jean-Paul Laumond Mark OvermarsThis volume deals with core problems in robotics, like motion planning, sensor-based planning, manipulation, and assembly planning. It also discusses the application of robotics algorithms in other domains, such as molecular modeling, computer graphics, and image analysis. Topics Include: - Planning - Sensor Based Motion Planning - Control and Moti
Algorithms for Satellite Orbital Dynamics (Springer Series in Astrophysics and Cosmology)
by Lin LiuThis book highlights the fundamental physics of orbit theory, dynamical models, methods of orbit determination, design, measurement, adjustment, and complete calculations for the position, tracking, and prediction of satellites and deep spacecraft. It emphasizes specific methods, related mathematical calculations, and worked examples and exercises. Therefore, technicians and engineers in the aerospace industry can directly apply them to their practical work. Dedicated to undergraduate students and graduate students, researchers, and professionals in astronomy, physics, space science, and related aerospace industries, the book is an integrated work based on the accumulated knowledge in satellite orbit dynamics and the author’s more than five decades of personal research and teaching experience in astronomy and aerospace dynamics.
Algorithms for Sensor Systems: 10th International Symposium on Algorithms and Experiments for Sensor Systems, Wireless Networks and Distributed Robotics, ALGOSENSORS 2014, Wroclaw, Poland, September 12, 2014, Revised Selected Papers (Lecture Notes in Computer Science #8847)
by Jie Gao Alon Efrat Sándor P. Fekete Yanyong ZhangThis book constitutes thoroughly refereed and revised selected papers from the 10th International Symposium on Algorithms and Experiments for Sensor Systems, Wireless Networks and Distributed Robotics, ALGOSENSORS 2014, held in Wroclaw, Poland, on September 12, 2014. The 10 papers presented in this volume were carefully reviewed and selected from 20 submissions. They are organized in topical sections named: robot planning; algorithms and data structures on graphs; and wireless networks.
Algorithms for Sensor Systems: 9th International Symposium on Algorithms and Experiments for Sensor Systems, Wireless Networks and Distributed Robotics, ALGOSENSORS 2013, Sophia Antipolis, France, September 5-6, 2013, Revised Selected Papers (Lecture Notes in Computer Science #8243)
by Jie Gao Evangelos Kranakis Paola Flocchini Friedhelm Meyer auf der HeideThis book constitutes the proceedings of the 9th International Symposium on Algorithms for Sensor Systems, Wireless Ad Hoc Networks and Autonomous Mobile Entities, ALGOSENSORS 2013, held in Sophia Antipolis, France, in September 2013. The 19 papers presented in this volume were carefully reviewed and selected from 30 submissions. They deal with sensor network algorithms, wireless networks and distributed robotics algorithms; and experimental algorithms.
Algorithms for Sensor Systems: 11th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2015, Patras, Greece, September 17-18, 2015, Revised Selected Papers (Lecture Notes in Computer Science #9536)
by Kay Römer Prosenjit Bose Leszek Antoni Gąsieniec Roger WattenhoferThis bookconstitutes revised selected papers from the 11th International Symposium onAlgorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2015, heldin Patras, Greece, in September 2015. The 16 fullpapers presented in this volume were carefully reviewed and selected from 30submissions. The deal with algorithms analysis and problem complexity; computercommunication networks; computation by abstract devices; and mathematics ofcomputing.
Algorithms for Sensor Systems: 13th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2017, Vienna, Austria, September 7-8, 2017, Revised Selected Papers (Lecture Notes in Computer Science #10718)
by Yanyong Zhang Antonio Fernández Anta Tomasz Jurdzinski Miguel A. MosteiroThis book constitutes revised selected papers from the 13th International Symposium on Algorithms and Experiments for Wireless Sensor Networks, ALGOSENSORS 2017, held in Vienna, in September 2017. The 17 full papers presented in this volume were carefully reviewed and selected from 30 submissions. ALGOSENSORS is an international symposium dedicated to the algorithmic aspects of wireless networks. Originally focused on sensor networks, it now covers algorithmic issues arising in wireless networks of all types of computational entities, static or mobile, including sensor networks, sensor-actuator networks, autonomous robots. The focus is on the design and analysis of algorithms, models of computation, and experimental analysis.
Algorithms for Solving Common Fixed Point Problems (Springer Optimization And Its Applications #132)
by Alexander J. ZaslavskiThis book details approximate solutions to common fixed point problems and convex feasibility problems in the presence of perturbations. Convex feasibility problems search for a common point of a finite collection of subsets in a Hilbert space; common fixed point problems pursue a common fixed point of a finite collection of self-mappings in a Hilbert space. A variety of algorithms are considered in this book for solving both types of problems, the study of which has fueled a rapidly growing area of research. This monograph is timely and highlights the numerous applications to engineering, computed tomography, and radiation therapy planning.<P><P> Totaling eight chapters, this book begins with an introduction to foundational material and moves on to examine iterative methods in metric spaces. The dynamic string-averaging methods for common fixed point problems in normed space are analyzed in Chapter 3. Dynamic string methods, for common fixed point problems in a metric space are introduced and discussed in Chapter 4. Chapter 5 is devoted to the convergence of an abstract version of the algorithm which has been called component-averaged row projections (CARP). Chapter 6 studies a proximal algorithm for finding a common zero of a family of maximal monotone operators. Chapter 7 extends the results of Chapter 6 for a dynamic string-averaging version of the proximal algorithm. In Chapters 8 subgradient projections algorithms for convex feasibility problems are examined for infinite dimensional Hilbert spaces.
Algorithms for Sparse Linear Systems (Nečas Center Series)
by Jennifer Scott Miroslav TůmaLarge sparse linear systems of equations are ubiquitous in science, engineering and beyond. This open access monograph focuses on factorization algorithms for solving such systems. It presents classical techniques for complete factorizations that are used in sparse direct methods and discusses the computation of approximate direct and inverse factorizations that are key to constructing general-purpose algebraic preconditioners for iterative solvers. A unified framework is used that emphasizes the underlying sparsity structures and highlights the importance of understanding sparse direct methods when developing algebraic preconditioners. Theoretical results are complemented by sparse matrix algorithm outlines.This monograph is aimed at students of applied mathematics and scientific computing, as well as computational scientists and software developers who are interested in understanding the theory and algorithms needed to tackle sparse systems. It is assumed that the reader has completed a basic course in linear algebra and numerical mathematics.
Algorithms for Sparsity-Constrained Optimization (Springer Theses #261)
by Sohail BahmaniThis thesis demonstrates techniques that provide faster and more accurate solutions to a variety of problems in machine learning and signal processing. The author proposes a "greedy" algorithm, deriving sparse solutions with guarantees of optimality. The use of this algorithm removes many of the inaccuracies that occurred with the use of previous models.
Algorithms from and for Nature and Life: Classification and Data Analysis (Studies in Classification, Data Analysis, and Knowledge Organization)
by Berthold Lausen Alfred Ultsch Dirk Van den PoelThis volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.