Computer algorithms.
Overview
| Works: | 329 works in 120 publications in 120 languages | |
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Titles
Introduction to parallel algorithms and architectures : = arrays, trees, hypercubes /
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Distributed control of robotic networks : = a mathematical approach to motion coordination algorithms /
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Non-commutative cryptography and complexity of group-theoretic problems /
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The logic of adaptive behavior = knowledge representation and algorithms for adaptive sequential decision making under uncertainty in first-order and relational domains /
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Timed Boolean functions : = a unified formalism for exact timing analysis /
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Pattern recognition : = architectures, algorithms & applications /
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New algorithms for variable time delay and nonuniform image motion estimation /
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Neural networks : = algorithms, applications, and programming techniques /
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Introduction to parallel computing : = design and analysis of algorithms /
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Algorithms and data structures : = design, correctness, analysis /
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Medial representations = mathematics, algorithms and applications /
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Adaptive sampling with mobile WSN = simultaneous robot localisation and mapping of paramagnetic spatio-temporal fields /
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Design of Adaptive Finite Element Software = The Finite Element Toolbox ALBERTA /
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Diagnostic test approaches to machine learning and commonsense reasoning systems
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Quantum mechanics using computer algebra : = includes sample programs in C++, SymbolicC++, Maxima, Maple, and Mathematica /
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Programming computer vision with Python : = [tools and algoritbms for analyzing images] /
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Introduction to the design and analysis of algorithms : = a strategic approach /
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Compared to what? : = an introduction to the analysis of algorithms /
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Analysis and design of parallel algorithms : = arithmetic and matrix problems /
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Division and square root : = digit-recurrence algorithms and implementations /
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Quantum mechanics using computer algebra : = includes sample programs for REDUCE, MAPLE, MATHEMATICA and C++ /
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Random generation of trees : = random generators in computer science /
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Data structures and algorithms : = an object-oriented approach using Ada 95 /
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Data structures and algorithms : = with object-oriented design patterns in C++ /
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Algorithms, complexity analysis and VLSI architectures for MPEG-4 motion estimation /
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Parallel processing and parallel algorithms : = theory and computation /
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Complexity and approximation : = combinatorial optimization problems and their approximability properties /
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Algorithm design : = foundations, analysis, and Internet examples /
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Algorithms on strings, trees, and sequences : = computer science and computational biology /
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Metaheuristics for hard optimization : = methods and case studies /
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Wireless Sensor and Actor Networks II = Proceedings of the 2008 IFIP Conference on Wireless Sensor and Actor Networks (WSAN 08), Ottawa, Ontario, Canmada, July 14-15, 2008 /
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Distributed Search by Constrained Agents = Algorithms, Performance, Communication /
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Understanding Planning Tasks = Domain Complexity and Heuristic Decomposition /
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Algorithms in C++.. Parts 1-4,. Fundamentals, data structures, sorting, searching /
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Advanced symbolic analysis for compilers = new techniques and algorithms for symbolic program analysis and optimization /
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A concise and practical introduction to programming algorithms in java
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Inductive inference for large scale text classification = kernel approaches and techniques /
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Advances in machine learning II = dedicated to the memory of Professor Ryszard S. Michalski /
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Optimal interprocedural program optimization = a new framework and its application /
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Algorithm engineering and experimentation = international workshop ALENEX '99, Baltimore, MD, USA, January 15-16, 1999 : selected papers /
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Algorithm engineering and experimentation = third international workshop, ALENEX 2001, WAshington, DC, USA, January 5-6, 2001 : proceedings /
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Experimental algorithmics = from algorithm design to robust and efficient software /
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Automating the design of data mining algorithms = an evolutionary computation approach /
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Hardware acceleration of EDA algorithms = custom ICs, FPGAs and GPUs /
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Intelligent data analysis for real-life applications = theory and practice /
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Computationally efficient model predictive control algorithms = a neural network approach /
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Boosted statistical relational learners = from benchmarks to data-driven medicine /
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Operators for similarity search = semantics, techniques and usage scenarios /
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Numerical methods using Java = for data science, analysis, and engineering /
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Algorithms, probability, networks, and games = scientific papers and essays dedicated to Paul G. Spirakis on the occasion of his 60th birthday /
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Constrained clustering = advances in algorithms, theory, and applications /
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High-performance deformable image registration algorithms for manycore processors
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Distributed control of robotic networks = a mathematical approach to motion coordination algorithms /
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Algorithmic aspects of analysis, prediction, and control in science and engineering = an approach based on symmetry and similarity /
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Algorithms and ordering heuristics for distributed constraint satisfaction problems
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Teaching learning based optimization algorithm = and its engineering applications /
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Algorithms for next-generation sequencing data = techniques, approaches, and applications /
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Combinatorial optimization and graph algorithms = communications of NII Shonan Meetings /
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Low-rank models in visual analysis : = theories, algorithms, and applications /
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Nine algorithms that changed the future : = the ingenious ideas that drive today's computers /
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Models, algorithms, logics and tools = essays dedicated to Kim Guldstrand Larsen on the occasion of his 60th Birthday /
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Algorithmic governance and governance of algorithms = legal and ethical challenges /
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Algorithms and data structures = foundations and probabilistic methods for design and analysis /
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How to design optimization algorithms by applying natural behavioral patterns
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The illusion of control = project data, computer algorithms and human intuition for project management and control /
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Knowledge recommendation systems with machine intelligence algorithms = people and innovations /
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Learning genetic algorithms with Python = empower the performance of machine learning and AI models with the capabilities of a powerful search algorithm /
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A quick reference to data structures and computer algorithms = an insight on the beauty of blockchain /
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Guide to computational modelling for decision processes = theory, algorithms, techniques and applications /
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Process algebras for Petri nets = the alphabetization of distributed systems /
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Optimization of computer networks : = modeling and algorithms : a hands-on approach /
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Machine learning algorithms = adversarial robustness in signal processing /
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Decision making and decision support in the information era = dedicated to Academician Florin Filip /
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Detaining immigrants, scoring criminals = how scoring algorithms transformed anti-immigrant sentiments into policy /
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Security of block ciphers = from algorithm design to hardware implementation /
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Encyclopaedia of algorithms research : = latest trends and applications /
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Algorithmic and experimental methods in algebra, geometry, and number theory
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Data mining algorithms in C++ = data patterns and algorithms for modern applications /
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Adaptive sampling with mobile WSN = simultaneous robot localisation and mapping of paramagnetic spatio-temporal fields /
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Modern algorithms for image processing = computer imagery by example using C# /
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Recent advances on memetic algorithms and its applications in image processing
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Archiving strategies for evolutionary multi-objective optimization algorithms
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Programming algorithms in Lisp = writing efficient programs with examples in ANSI Common Lisp /
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Quantum algorithms for cryptographically significant Boolean functions = an IBMQ experience /
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How algorithms create and prevent fake news = exploring the impacts of social media, deepfakes, GPT-3, and more /
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Methods and applications of algorithmic complexity = beyond statistical lossless compression /
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Algorithms with JULIA = optimization, machine learning, and differential Equations using the JULIA language /
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Data structures and algorithms with Python = with an introduction to multiprocessing /
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