Advances in Dynamics, Optimization and Computation : A volume dedicated to Michael Dellnitz on the occasion of his 60th birthday / / edited by Oliver Junge, Oliver Schütze, Gary Froyland, Sina Ober-Blöbaum, Kathrin Padberg-Gehle
| Advances in Dynamics, Optimization and Computation : A volume dedicated to Michael Dellnitz on the occasion of his 60th birthday / / edited by Oliver Junge, Oliver Schütze, Gary Froyland, Sina Ober-Blöbaum, Kathrin Padberg-Gehle |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XV, 392 p. 177 illus., 107 illus. in color.) |
| Disciplina | 531.11 |
| Collana | Studies in Systems, Decision and Control |
| Soggetto topico |
Engineering mathematics
Automatic control Computers Quantum computers System theory Engineering Mathematics Control and Systems Theory Theory of Computation Quantum Computing Complex Systems |
| ISBN | 3-030-51264-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A continuation approach to computing phase resetting curves -- Input-output networks, singularity theory, and homeostasis -- The approximation of invariant sets in infinite dimensional dynamical systems -- Set-oriented and finite-element study of coherent behavior in Rayleigh-Benard convection -- Singular value decomposition of operators on Reproducing Kernel Hilbert Spaces -- A weak characterization of slow variables in stochastic dynamical systems -- Analysis and simulation of extremes and rare events in complex systems -- Dynamical systems theory and algorithms for NP-hard problems. |
| Record Nr. | UNINA-9910411933203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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Cell Mapping Methods : Algorithmic Approaches and Applications / / by Jian-Qiao Sun, Fu-Rui Xiong, Oliver Schütze, Carlos Hernández
| Cell Mapping Methods : Algorithmic Approaches and Applications / / by Jian-Qiao Sun, Fu-Rui Xiong, Oliver Schütze, Carlos Hernández |
| Autore | Sun Jian-Qiao |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XV, 226 p. 98 illus., 70 illus. in color.) |
| Disciplina | 519 |
| Soggetto topico |
Applied mathematics
Engineering mathematics Physics Mathematical and Computational Engineering Mathematical Methods in Physics Applications of Mathematics |
| ISBN | 981-13-0457-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Dynamical Systems -- Simple Cell Mapping -- Generalized Cell Mapping -- Hybrid Cell Mapping and Subdivision -- Post-Processing of Simple Cell Mapping -- Application-Global Analysis of Nonlinear Dynamical Systems -- Application-Finding Zeros of Nonlinear Algebraic Functions -- Application-Multi-Objective Optimization. |
| Record Nr. | UNINA-9910350317403321 |
Sun Jian-Qiao
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme
| Evolutionary Multi-Criterion Optimization [[electronic resource] ] : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIV, 702 p. 267 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Numerical analysis
Algorithms Computer science Artificial intelligence Computer networks Numerical Analysis Models of Computation Artificial Intelligence Computer Communication Networks |
| ISBN | 3-319-54157-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On the effect of scalarising norm choice in a ParEGO implementation -- Multi-objective big data optimization with Metal and Spark -- An empirical assessment of the properties of inverted generational distance indicators on multi- and many-objective optimization -- Solving the Bi-objective traveling thief problem with multi-objective evolutionary algorithms -- Automatically Configuring multi-objective local search using multi-objective optimization -- The multi-objective shortest path problem is NP-hard, or is it -- Angle-based preference models in multi-objective optimization -- Quantitative performance assessment of multi-objective optimizers: The average runtime attainment function -- A multi-objective strategy to allocate roadside units in a vehicular network with guaranteed levels of service -- An approach for the local exploration of discrete many objective optimization problems -- A note on the detection of outliers in a binary outranking relation -- Classifying meta-modeling methodologies for evolutionary multi-objective optimization: First results -- Weighted stress function method for multi-objective evolutionary algorithm based on decomposition -- Timing the decision support for real-world many-objective problems -- On the influence of altering the action set on PROMETHEE II's relative ranks -- Peek { Shape { Grab: a methodology in three stages for approximating the non-dominated points of multi-objective discrete combinatorial optimization problems with a multi-objective meta-heuristic -- A new reduced-length genetic representation for evolutionary multi-objective clustering -- A fast incremental BSP tree archive for non-dominated points -- Adaptive operator selection for many-objective optimization with NSGA-III -- On using decision maker preferences with ParEGO -- First investigations on noisy model-based multi-objective optimization -- Fusion of many-objective non-dominated solutions using reference points -- An expedition to multi-modal multi-objective optimization landscapes -- Neutral neighbors in Bi-objective optimization: Distribution of the most promising for permutation problems -- Multi-objective adaptation of a parameterized GVGAI agent towards several games -- Towards standardized and seamless integration of expert knowledge into multi-objective evolutionary optimization algorithms -- Empirical investigations of reference point based methods when facing a massively large number of objectives: First results -- Building and using an ontology of preference-based multi-objective evolutionary algorithms -- A fitness landscape analysis of pareto local search on Bi-objective permutation flow-shop scheduling problems -- Dimensionality reduction approach for many-objective vehicle routing problem with demand responsive transport -- Heterogeneous evolutionary swarms with partial redundancy solving multi-objective tasks -- Multiple meta-models for robustness estimation in multi-objective robust optimization -- Predator-Prey techniques for solving multi-objective scheduling problems for unrelated parallel machines -- An overview of weighted and unconstrained scalarizing functions -- Multi-objective representation setups for deformation-based design optimization -- Design perspectives of an evolutionary process for multi-objective molecular optimization -- Towards a better balance of diversity and convergence in NSGA-III: First results -- A comparative study of fast adaptive preference-guided evolutionary multi-objective optimization -- A population-based algorithm for learning a majority rule sorting model with coalitional veto -- Injection of extreme points in evolutionary multio-objective optimization algorithms -- The impact of population size, number of children, and number of reference points on the performance of NSGA-III -- Multi-objective optimization for liner shipping fleet repositioning -- Surrogate-assisted partial order-based evolutionary optimization -- Hyper-volume indicator gradient ascent multi-objective optimization -- Toward step-size adaptation in evolutionary multi-objective optimization -- Computing 3-D expected hyper-volume improvement and related integrals in asymptotically optimal time. |
| Record Nr. | UNISA-996466082803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Lo trovi qui: Univ. di Salerno | ||
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Evolutionary Multi-Criterion Optimization : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme
| Evolutionary Multi-Criterion Optimization : 9th International Conference, EMO 2017, Münster, Germany, March 19-22, 2017, Proceedings / / edited by Heike Trautmann, Günter Rudolph, Kathrin Klamroth, Oliver Schütze, Margaret Wiecek, Yaochu Jin, Christian Grimme |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIV, 702 p. 267 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Numerical analysis
Algorithms Computer science Artificial intelligence Computer networks Numerical Analysis Models of Computation Artificial Intelligence Computer Communication Networks |
| ISBN | 3-319-54157-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On the effect of scalarising norm choice in a ParEGO implementation -- Multi-objective big data optimization with Metal and Spark -- An empirical assessment of the properties of inverted generational distance indicators on multi- and many-objective optimization -- Solving the Bi-objective traveling thief problem with multi-objective evolutionary algorithms -- Automatically Configuring multi-objective local search using multi-objective optimization -- The multi-objective shortest path problem is NP-hard, or is it -- Angle-based preference models in multi-objective optimization -- Quantitative performance assessment of multi-objective optimizers: The average runtime attainment function -- A multi-objective strategy to allocate roadside units in a vehicular network with guaranteed levels of service -- An approach for the local exploration of discrete many objective optimization problems -- A note on the detection of outliers in a binary outranking relation -- Classifying meta-modeling methodologies for evolutionary multi-objective optimization: First results -- Weighted stress function method for multi-objective evolutionary algorithm based on decomposition -- Timing the decision support for real-world many-objective problems -- On the influence of altering the action set on PROMETHEE II's relative ranks -- Peek { Shape { Grab: a methodology in three stages for approximating the non-dominated points of multi-objective discrete combinatorial optimization problems with a multi-objective meta-heuristic -- A new reduced-length genetic representation for evolutionary multi-objective clustering -- A fast incremental BSP tree archive for non-dominated points -- Adaptive operator selection for many-objective optimization with NSGA-III -- On using decision maker preferences with ParEGO -- First investigations on noisy model-based multi-objective optimization -- Fusion of many-objective non-dominated solutions using reference points -- An expedition to multi-modal multi-objective optimization landscapes -- Neutral neighbors in Bi-objective optimization: Distribution of the most promising for permutation problems -- Multi-objective adaptation of a parameterized GVGAI agent towards several games -- Towards standardized and seamless integration of expert knowledge into multi-objective evolutionary optimization algorithms -- Empirical investigations of reference point based methods when facing a massively large number of objectives: First results -- Building and using an ontology of preference-based multi-objective evolutionary algorithms -- A fitness landscape analysis of pareto local search on Bi-objective permutation flow-shop scheduling problems -- Dimensionality reduction approach for many-objective vehicle routing problem with demand responsive transport -- Heterogeneous evolutionary swarms with partial redundancy solving multi-objective tasks -- Multiple meta-models for robustness estimation in multi-objective robust optimization -- Predator-Prey techniques for solving multi-objective scheduling problems for unrelated parallel machines -- An overview of weighted and unconstrained scalarizing functions -- Multi-objective representation setups for deformation-based design optimization -- Design perspectives of an evolutionary process for multi-objective molecular optimization -- Towards a better balance of diversity and convergence in NSGA-III: First results -- A comparative study of fast adaptive preference-guided evolutionary multi-objective optimization -- A population-based algorithm for learning a majority rule sorting model with coalitional veto -- Injection of extreme points in evolutionary multio-objective optimization algorithms -- The impact of population size, number of children, and number of reference points on the performance of NSGA-III -- Multi-objective optimization for liner shipping fleet repositioning -- Surrogate-assisted partial order-based evolutionary optimization -- Hyper-volume indicator gradient ascent multi-objective optimization -- Toward step-size adaptation in evolutionary multi-objective optimization -- Computing 3-D expected hyper-volume improvement and related integrals in asymptotically optimal time. |
| Record Nr. | UNINA-9910483648603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V / / edited by Alexandru-Adrian Tantar, Emilia Tantar, Jian-Qiao Sun, Wei Zhang, Qian Ding, Oliver Schütze, Michael Emmerich, Pierrick Legrand, Pierre Del Moral, Carlos A. Coello Coello
| EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation V / / edited by Alexandru-Adrian Tantar, Emilia Tantar, Jian-Qiao Sun, Wei Zhang, Qian Ding, Oliver Schütze, Michael Emmerich, Pierrick Legrand, Pierre Del Moral, Carlos A. Coello Coello |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (329 p.) |
| Disciplina | 006.3 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-319-07494-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Set Oriented Numerics -- Computational Game Theory -- Machine Learning Applied to Networks -- Complex Networks and Landscape Analysis -- Local Search and Optimization -- Genetic Programming -- Evolutionary Multiobjective Optimization -- Practical Aspects of Evolutionary Algorithms. |
| Record Nr. | UNINA-9910299753403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Lo trovi qui: Univ. Federico II | ||
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EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII / / edited by Michael Emmerich, André Deutz, Oliver Schütze, Pierrick Legrand, Emilia Tantar, Alexandru-Adrian Tantar
| EVOLVE – A Bridge between Probability, Set Oriented Numerics and Evolutionary Computation VII / / edited by Michael Emmerich, André Deutz, Oliver Schütze, Pierrick Legrand, Emilia Tantar, Alexandru-Adrian Tantar |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (VIII, 210 p. 75 illus., 36 illus. in color.) |
| Disciplina | 005.432 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Probabilities Computer science—Mathematics Computer science - Mathematics Computational Intelligence Artificial Intelligence Probability Theory and Stochastic Processes Mathematics of Computing Computational Mathematics and Numerical Analysis |
| ISBN | 3-319-49325-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Survey of Diversity Oriented Optimization: Problems, Indicators, and Algorithms -- Global Multi-Objective Optimization by Means of Cell Mapping Techniques -- Percentile via Polynomial Chaos Expansion: Bridging Robust Optimization with Reliability -- Evolutionary Equilibrium Detection in Multicriteria Games -- A New Estimation of Distribution Algorithm for Nash Equilibria Detection -- Multi-Objective Optimisation by Self-Adaptive Evolutionary Algorithm -- Evidence Based Multidisciplinary Robust Optimization for Mars Micro Entry Probe Design -- A Simulation-Based Algorithm for the Probabilistic Traveling Salesman Problem -- Average Cuboid Volume as a Convergence Indicator and Selection Criterion for Multi-Objective Biochemical Optimization. |
| Record Nr. | UNINA-9910254344603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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Griechische und römische Literatur : 120 Porträts / / herausgegeben von Oliver Schütze
| Griechische und römische Literatur : 120 Porträts / / herausgegeben von Oliver Schütze |
| Edizione | [1st ed. 2006.] |
| Pubbl/distr/stampa | Stuttgart : , : J.B. Metzler : , : Imprint : J.B. Metzler, , 2006 |
| Descrizione fisica | 1 online resource (III, 283 S.) |
| Disciplina | 930 |
| Soggetto topico |
History, Ancient
Ancient History |
| ISBN | 3-476-00191-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ger |
| Record Nr. | UNINA-9910158703503321 |
| Stuttgart : , : J.B. Metzler : , : Imprint : J.B. Metzler, , 2006 | ||
| Lo trovi qui: Univ. Federico II | ||
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NEO 2015 : Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico / / edited by Oliver Schütze, Leonardo Trujillo, Pierrick Legrand, Yazmin Maldonado
| NEO 2015 : Results of the Numerical and Evolutionary Optimization Workshop NEO 2015 held at September 23-25 2015 in Tijuana, Mexico / / edited by Oliver Schütze, Leonardo Trujillo, Pierrick Legrand, Yazmin Maldonado |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XVI, 444 p. 198 illus., 107 illus. in color.) |
| Disciplina | 519.6 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Mathematical optimization Optical data processing Big data Computational Intelligence Artificial Intelligence Optimization Computer Imaging, Vision, Pattern Recognition and Graphics Big Data/Analytics |
| ISBN | 3-319-44003-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I Genetic Programming -- Part II Combinatorial Optimization -- Part IV Machine Learning and Real World Applications. |
| Record Nr. | UNINA-9910254358203321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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NEO 2016 : Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico / / edited by Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi, Massimiliano Vasile
| NEO 2016 : Results of the Numerical and Evolutionary Optimization Workshop NEO 2016 and the NEO Cities 2016 Workshop held on September 20-24, 2016 in Tlalnepantla, Mexico / / edited by Yazmin Maldonado, Leonardo Trujillo, Oliver Schütze, Annalisa Riccardi, Massimiliano Vasile |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XIII, 282 p. 146 illus., 124 illus. in color.) |
| Disciplina | 519.3 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Artificial intelligence Optical data processing Computational Intelligence Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 3-319-64063-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Smart Cities -- Defensive Driving Strategy and Control for Autonomous Ground Vehicle in Mixed Traffic -- Augmenting the LSA Technique to Evaluate Ubicomp Environments -- Mixed Integer Programming Formulation for the Energy-Efficient Train Timetables Problem -- Distributing Computing in the Internet of Things: Cloud, Fog and Edge Computing Overview -- Part II: Search, Optimization and Hybrid Algorithms -- Integer Programming Models and Heuristics for Non-Crossing Euclidean 3-Matchings -- A Multi-Objective Robust Ellipse Fitting Algorithm -- Gradient-Based Multiobjective Optimization with Uncertainties -- A New Local Search Heuristic for the Multidimensional Assignment Problem -- Part III: Electronics and Embedded Systems -- A Multi-Objective and Multidisciplinary Optimisation Algorithm for Microelectromechanical Systems -- Coefficients Estimation of MPM through LSE, ORLS and SLS for RF-PA Modeling and DPD -- Optimal Sizing of Amplifiers by Evolutionary Algorithms with Integer Encoding and gm/ID Design Method -- Index. . |
| Record Nr. | UNINA-9910299896903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
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Numerical and Evolutionary Optimization
| Numerical and Evolutionary Optimization |
| Autore | Lara Adriana |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 online resource (230 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
averaged Hausdorff distance
basic differential evolution algorithm Bloat bulbous bow crop planning decision space diversity differential evolution algorithm driving events driving scoring functions economic crops evolutionary computation evolutionary multi-objective optimization EvoSpace flexible job shop scheduling problem genetic algorithm genetic programming Genetic Programming improved differential evolution algorithm improvement differential evolution algorithm intelligent transportation systems IV-optimality criterion Local Search local search and jump search location routing problem metric measure spaces mixture experiments model order reduction model predictive control modify differential evolution algorithm multi-objective optimization multiobjective optimization NEAT numerical simulations open-source framework optimal control optimal solutions Pareto front performance indicator power means risky driving rubber shape morphing single component constraints surrogate-based optimization U-shaped assembly line balancing vehicle routing problem |
| ISBN | 3-03921-817-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367744103321 |
Lara Adriana
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| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Lo trovi qui: Univ. Federico II | ||
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