Springer Kolmogorov Complexity and Computational Complexity (Monographs in Theoretical Computer Science. An EATCS Series)

Classification and Multivariate Analysis for Complex Data Structures (Studies in Classification, Data Analysis, and Knowledge Organization)

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Chaos, Fractals and Complexity (Springer Proceedings in Complexity)

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Patterns in Permutations and Words (Monographs in Theoretical Computer Science. An EATCS Series)

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Models and Algorithms of Time-Dependent Scheduling (Monographs in Theoretical Computer Science. An EATCS Series)

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Approximate Commutative Algebra (Texts & Monographs in Symbolic Computation)

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Open Problems in Mathematics and Computational Science

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Restarting Automata: Extensions and Generalizations (Theory and Applications of Computability)

Statistical Laws in Complex Systems: Combining Mechanistic Models and Data Analysis (Understanding Complex Systems)

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How Nature Works: Complexity in Interdisciplinary Research and Applications: 5 (Emergence, Complexity and Computation, 5)

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Extremal Combinatorics: With Applications in Computer Science (Texts in Theoretical Computer Science. An EATCS Series)

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The Combinatory Systems Theory: A Powerful Theory for Understanding, Modeling and Simulating Collective Phenomena (Progress in IS)

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Handbook of K-Theory

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Mobility in Process Calculi and Natural Computing (Natural Computing Series)

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The Symbolic Computation of Integrability Structures for Partial Differential Equations (Texts & Monographs in Symbolic Computation)

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Hilbert Space Splittings and Iterative Methods: 62 (Springer Series in Computational Mathematics, 62)

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Restarting Automata: The Standard Type of Restarting Automaton and Its Variants (Theory and Applications of Computability)

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Economics and Computation: An Introduction to Algorithmic Game Theory, Computational Social Choice, and Fair Division (Classroom Companion: Economics)

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Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance: Theory and Practices (Springer Tracts in Nature-Inspired Computing)

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Multi-objective, Multi-class and Multi-label Data Classification with Class Imbalance: Theory and Practices (Springer Tracts in Nature-Inspired Computing)

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Convex Stochastic Optimization: Dynamic Programming and Duality in Discrete Time (Probability Theory and Stochastic Modelling, 107)

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Condition Monitoring Using Computational Intelligence Methods: Applications in Mechanical and Electrical Systems

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Logarithmic Norms: 63 (Springer Series in Computational Mathematics, 63)

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Evolutionary Algorithms, Swarm Dynamics and Complex Networks: Methodology, Perspectives and Implementation: 26 (Emergence, Complexity and Computation, 26)

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Computational Aspects: 3 (Topics in Boundary Element Research, 3)

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