Info
Beyond AI : ChatGPT, Web3, and the Business Landscape of Tomorrow / / edited by Ken Huang, Yang Wang, Feng Zhu, Xi Chen, Chunxiao Xing
| Beyond AI : ChatGPT, Web3, and the Business Landscape of Tomorrow / / edited by Ken Huang, Yang Wang, Feng Zhu, Xi Chen, Chunxiao Xing |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (xxvii, 395 pages) : illustrations |
| Disciplina | 006.3 |
| Collana | Future of Business and Finance |
| Soggetto topico |
Business information services
Technological innovations Artificial intelligence Financial engineering Data protection Business ethics IT in Business Innovation and Technology Management Artificial Intelligence Financial Technology and Innovation Data and Information Security Business Ethics |
| ISBN |
9783031452826
3031452828 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Fundamentals of ChatGPT, Web3, and Their Impact on Business -- Overview of ChatGPT, Web3, and New Business Landscape -- ChatGPT: Inside and Impact on Business Automation -- Part II: Applications of ChatGPT in Diverse Fields and Integration with Web3 -- ChatGPT and Web3 Applications -- ChatGPT in Product Management -- ChatGPT and Gig Economy -- ChaptGPT in Nutrition Science -- ChatGPT in Finance and Banking -- ChatGPT in Real Estate -- ChatGPT in Gaming Industry -- ChatGPT in Government -- Part III: Ethical, Legal, and Security Considerations in ChatGPT -- Security and Privacy Concerns in ChatGPT -- Legal and Ethics Responsibility of ChatGPT. |
| Record Nr. | UNINA-9910799238403321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The elements of joint learning and optimization in operations management / / edited by Xi Chen, Stefanus Jasin, and Cong Shi
| The elements of joint learning and optimization in operations management / / edited by Xi Chen, Stefanus Jasin, and Cong Shi |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (444 pages) |
| Disciplina | 658.7 |
| Collana | Springer Series in Supply Chain Management |
| Soggetto topico |
Production management
Business logistics |
| ISBN | 3-031-01926-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- Part I Generic Tools -- 1 The Stochastic Multi-Armed Bandit Problem -- 1.1 Introduction -- 1.2 The N-Armed Bandit Problem -- 1.2.1 Upper Confidence Bound (UCB) Algorithm -- 1.2.2 Thompson Sampling (TS) -- 1.3 Contextual Bandits -- 1.4 Combinatorial Bandits -- References -- 2 Reinforcement Learning -- 2.1 Introduction -- 2.2 Markov Decision Process and Dynamic Programming -- 2.2.1 Finite-Horizon Markov Decision Process -- 2.2.1.1 Dynamic Programming Solution -- 2.2.2 Discounted Markov Decision Process -- 2.2.2.1 Value Iteration -- 2.2.2.2 Policy Iteration -- 2.3 Reinforcement Learning Algorithm Design -- 2.3.1 Reinforcement Learning Problem Formulation -- 2.3.1.1 Episodic Reinforcement Learning in Finite-Horizon MDP -- 2.3.1.2 Reinforcement Learning in Discounted MDP -- 2.3.2 Model-Based vs. Model-Free Reinforcement Learning -- 2.3.2.1 Model-Based Reinforcement Learning -- 2.3.2.2 Q-Learning and SARSA -- 2.3.2.3 Policy Gradient -- 2.3.3 Exploration in Reinforcement Learning -- 2.3.3.1 Exploration Schemes -- 2.3.3.2 Deep Exploration -- 2.3.4 Approximate Solution Methods and Deep Reinforcement Learning -- 2.4 Conclusion and Further Reading -- References -- 3 Optimal Learning and Optimal Design -- 3.1 Introduction -- 3.2 Statistical Design of Experiments -- 3.3 The Ranking and Selection Problem -- 3.3.1 Model -- 3.3.2 Large Deviations Analysis -- 3.3.3 Example: Normal Sampling Distributions -- 3.3.4 Optimal Allocations -- 3.4 Sequential Algorithms -- 3.4.1 Value of Information Methods -- 3.4.2 Thompson Sampling -- 3.4.3 Rate-Balancing Methods -- 3.4.4 Discussion -- 3.5 Recent Advances -- 3.5.1 A New Optimal Design for Linear Regression -- 3.5.2 Optimal Budget Allocation in Approximate Dynamic Programming -- 3.6 Conclusion -- References.
Part II Price Optimization -- 4 Dynamic Pricing with Demand Learning: Emerging Topics and State of the Art -- 4.1 Introduction -- 4.2 Model -- 4.3 Asymptotically Optimal Pricing Policies -- 4.3.1 Parametric Approaches -- 4.3.1.1 Model and Estimation -- 4.3.1.2 Certainty-Equivalence Pricing and Incomplete Learning -- 4.3.1.3 Asymptotically Optimal Policies -- 4.3.1.4 Extensions to Generalized Linear Models -- 4.3.1.5 Extensions to Multiple Products -- 4.3.2 Nonparametric Approaches -- 4.3.3 Extensions and Generalizations -- 4.4 Emerging Topics and Generalizations -- 4.4.1 Product Differentiation -- 4.4.2 Online Marketplaces -- 4.4.3 Continuous-Time Approximations -- References -- 5 Learning and Pricing with Inventory Constraints -- 5.1 Introduction -- 5.2 Single Product Case -- 5.2.1 Dynamic Pricing Algorithm -- 5.2.2 Lower Bound Example -- 5.3 Multiproduct Setting -- 5.3.1 Preliminaries -- 5.3.2 Parametric Case -- 5.3.3 Nonparametric Case -- 5.4 Bayesian Learning Setting -- 5.4.1 Model Setting -- 5.4.2 Thompson Sampling with Fixed Inventory Constraints -- 5.4.3 Thompson Sampling with Inventory Constraint Updating -- 5.4.4 Performance Analysis -- 5.5 Remarks and Further Reading -- References -- 6 Dynamic Pricing and Demand Learning in Nonstationary Environments -- 6.1 Introduction -- 6.2 Problem Formulation -- 6.3 Exogenously Changing Demand Environments -- 6.3.1 Change-Point Detection Models -- 6.3.2 Finite-State-Space Markov Chains -- 6.3.3 Autoregressive Models -- 6.3.4 General Changing Environments -- 6.3.5 Contextual Pricing -- 6.4 Endogenously Changing Demand Environments -- 6.4.1 Reference-Price Effects -- 6.4.2 Competition and Collusion -- 6.4.3 Platforms and Multi-Agent Learning -- 6.4.4 Forward-Looking and Patient Customers -- References -- 7 Pricing with High-Dimensional Data -- 7.1 Introduction. 7.2 Background: High-Dimensional Statistics -- 7.3 Static Pricing with High-Dimensional Data -- 7.3.1 Feature-Dependent Choice Model -- 7.3.2 Estimation Method -- 7.3.3 Performance Guarantees -- 7.4 Dynamic Pricing with High-Dimensional Data -- 7.4.1 Feature-Dependent Demand Model -- 7.4.2 Learning-and-Earning Algorithm -- 7.4.3 A Universal Lower Bound on the Regret -- 7.4.4 Performance of ILQX -- 7.4.5 Discussion -- 7.5 Directions for Future Research -- References -- Part III Assortment Optimization -- 8 Nonparametric Estimation of Choice Models -- 8.1 Introduction -- 8.2 General Setup -- 8.3 Estimating the Rank-Based Model -- 8.3.1 Estimation via the Conditional Gradient Algorithm -- 8.3.1.1 Solving the Support Finding Step -- 8.3.1.2 Solving the Proportions Update Step -- 8.3.1.3 Initialization and Stopping Criterion -- 8.3.2 Convergence Guarantee for the Estimation Algorithm -- 8.4 Estimating the Nonparametric Mixture of Closed Logit (NPMXCL) Model -- 8.4.1 Estimation via the Conditional Gradient Algorithm -- 8.4.1.1 Solving the Support Finding Step -- 8.4.1.2 Solving the Proportions Update Step -- 8.4.1.3 Initialization and Stopping Criterion -- 8.4.2 Convergence Guarantee for the Estimation Algorithm -- 8.4.3 Characterizing the Choice Behavior of Closed Logit Types -- 8.5 Other Nonparametric Choice Models -- 8.6 Concluding Thoughts -- References -- 9 The MNL-Bandit Problem -- 9.1 Introduction -- 9.2 Choice Modeling and Assortment Optimization -- 9.3 Dynamic Learning in Assortment Selection -- 9.4 A UCB Approach for the MNL-Bandit -- 9.4.1 Algorithmic Details -- 9.4.2 Min-Max Regret Bounds -- 9.4.3 Improved Regret Bounds for ``Well Separated'' Instances -- 9.4.4 Computational Study -- 9.4.4.1 Robustness of Algorithm 1 -- 9.4.4.2 Comparison with Existing Approaches -- 9.5 Thompson Sampling for the MNL-Bandit -- 9.5.1 Algorithm. 9.5.2 A TS Algorithm with Independent Beta Priors -- 9.5.3 A TS Algorithm with Posterior Approximation and Correlated Sampling -- 9.5.4 Regret Analysis -- 9.5.5 Empirical Study -- 9.6 Lower Bound for the MNL-Bandit -- 9.7 Conclusions and Recent Progress -- References -- 10 Dynamic Assortment Optimization: Beyond MNL Model -- 10.1 Overview -- 10.2 General Utility Distributions -- 10.2.1 Model Formulation and Assumptions -- 10.2.2 Algorithm Design -- 10.2.3 Theoretical Analysis -- 10.2.4 Bibliographic Notes and Discussion of Future Directions -- 10.3 Nested Logit Models -- 10.3.1 Model Formulation and Assumptions -- 10.3.2 Assortment Space Reductions -- 10.3.3 Algorithm Design and Regret Analysis -- 10.3.4 Regret Lower Bound -- 10.3.5 Bibliographic Notes and Discussion of Future Directions -- 10.4 MNL Model with Contextual Features -- 10.4.1 Model Formulation and Assumptions -- 10.4.2 Algorithm Design: Thompson Sampling -- 10.4.3 Algorithm Design: Upper Confidence Bounds -- 10.4.4 Lower Bounds -- 10.4.5 Bibliographic Notes and Discussion of Future Directions -- 10.5 Conclusion -- References -- Part IV Inventory Optimization -- 11 Inventory Control with Censored Demand -- 11.1 Introduction -- 11.2 Regret Lower Bound for Inventory Models with Censored Demand -- 11.2.1 Model Formulation -- 11.2.2 Strictly Convex and Well-Separated Cases -- 11.2.3 Worst-Case Regret Under General Demand Distributions -- 11.3 Censored Demand Example: Perishable Inventory System -- 11.3.1 Model Formulation -- 11.3.2 Challenges and Preliminary Results -- 11.3.3 Learning Algorithm Design: Cycle-Update Policy -- 11.3.4 Regret Analysis of CUP Algorithm -- 11.3.5 Strongly Convex Extension -- 11.4 Lead Times Example: Lost-Sales System with Lead Times -- 11.4.1 Model Formulation -- 11.4.2 Base-Stock Policy and Convexity Results -- 11.4.3 Challenges from Lead Times. 11.4.4 Gradient Methods -- 11.4.5 A Ternary Search Method -- 11.5 High Dimensionality Example: Multiproduct Inventory Model with Customer Choices -- 11.5.1 Inventory Substitution -- 11.5.2 Numerical Example -- References -- 12 Joint Pricing and Inventory Control with Demand Learning -- 12.1 Problem Formulation in General -- 12.2 Nonparametric Learning for Backlogged Demand -- 12.3 Nonparametric Learning for Lost-Sales System -- 12.3.1 Algorithms and Results in chen2017nonparametric -- 12.3.2 Algorithms and Results in chen2020optimal -- 12.3.2.1 Concave G(·) -- 12.3.2.2 Non-Concave G(·) -- 12.4 Parametric Learning with Limited Price Changes -- 12.4.1 Well-Separated Demand -- 12.4.2 General Demand -- 12.5 Backlog System with Fixed Ordering Cost -- 12.6 Other Models -- References -- 13 Optimization in the Small-Data, Large-Scale Regime -- 13.1 Why Small Data? -- 13.1.1 Structure -- 13.2 Contrasting the Large-Sample and Small-Data, Large-Scale Regimes -- 13.2.1 Model -- 13.2.2 Failure of Sample Average Approximation (SAA) -- 13.2.3 Best-in-Class Performance -- 13.2.4 Shortcomings of Cross-Validation -- 13.3 Debiasing In-Sample Performance -- 13.3.1 Stein Correction -- 13.3.2 From Unbiasedness to Policy Selection -- 13.3.3 Stein Correction in the Large-Sample Regime -- 13.3.4 Open Questions -- 13.4 Conclusion -- References -- Part V Healthcare Operations -- 14 Bandit Procedures for Designing Patient-Centric Clinical Trials -- 14.1 Introduction -- 14.2 The Bayesian Beta-Bernoulli MABP -- 14.2.1 Discussion of the Model -- 14.3 Metrics for Two-Armed Problem (Confirmatory Trials) -- 14.3.1 Accurate and Precise Estimation -- 14.3.2 Statistical Errors -- 14.3.3 Patient Benefit -- 14.3.4 Trial Size -- 14.3.5 Multiple Metrics -- 14.4 Illustrative Results for Two-Armed Problem -- 14.5 Discussion -- 14.5.1 Safety Concerns -- 14.5.2 Prior Distributions. 14.5.3 Delayed Responses. |
| Record Nr. | UNINA-9910595059703321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Event-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid / / by Zhen Li, Sen Li, Tyrone Fernando, Xi Chen
| Event-Trigger Dynamic State Estimation for Practical WAMS Applications in Smart Grid / / by Zhen Li, Sen Li, Tyrone Fernando, Xi Chen |
| Autore | Li Zhen |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (294 pages) |
| Disciplina | 621.3191 |
| Soggetto topico |
Electronic circuits
Signal processing Image processing Speech processing systems Energy systems Circuits and Systems Signal, Image and Speech Processing Energy Systems |
| ISBN | 3-030-45658-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Event-trigger Design for Linear Filtering Event-trigger Strategies -- State Estimation of Doubly Fed Induction Generator (DFIG) Wind Turbine (WT) in Smart Grid -- Event-trigger Particle Filter Design under Limited Communication Bandwidth -- Event-trigger Heterogeneous Nonlinear Filter Design under Limited Computational Burden -- Event-trigger Robust Nonlinear Filter Design under Non-Gaussian Noises -- Event-trigger Robust Nonlinear Filter Design with Packet Dropout -- Discussion on Other Practical Design. |
| Record Nr. | UNINA-9910407734203321 |
Li Zhen
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Five-layer intelligence of the machine brain : system modelling and simulation / / Wen-Feng Wang, Xi Chen, Tuozhong Yao
| Five-layer intelligence of the machine brain : system modelling and simulation / / Wen-Feng Wang, Xi Chen, Tuozhong Yao |
| Autore | Wang Wenfeng |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (223 pages) |
| Disciplina | 006.31 |
| Collana | Research on Intelligent Manufacturing |
| Soggetto topico | Artificial intelligence |
| ISBN | 981-19-0272-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Structure of a machine brain The first intelligence layer - environments sensing The second intelligence layer - active learning The third intelligence layer - cognitive computing The fourth intelligence layer - intelligent decisions making The fifth intelligence layer - automatized execution Applications in Face Recognition Access Control Manufacturing |
| Record Nr. | UNINA-9910552748503321 |
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Wang Wenfeng
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| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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The Geographical Sciences During 1986—2015 : From the Classics To the Frontiers / / by Shuying Leng, Xizhang Gao, Tao Pei, Guoyou Zhang, Liangfu Chen, Xi Chen, Canfei He, Daming He, Xiaoyan Li, Chunye Lin, Hongyan Liu, Weidong Liu, Yihe Lü, Shilong Piao, Qiuhong Tang, Fulu Tao, Lide Tian, Xiaohua Tong, Cunde Xiao, Desheng Xue, Linsheng Yang, Linwang Yuan, Yuanming Zheng, Huiyi Zhu, Liping Zhu
| The Geographical Sciences During 1986—2015 : From the Classics To the Frontiers / / by Shuying Leng, Xizhang Gao, Tao Pei, Guoyou Zhang, Liangfu Chen, Xi Chen, Canfei He, Daming He, Xiaoyan Li, Chunye Lin, Hongyan Liu, Weidong Liu, Yihe Lü, Shilong Piao, Qiuhong Tang, Fulu Tao, Lide Tian, Xiaohua Tong, Cunde Xiao, Desheng Xue, Linsheng Yang, Linwang Yuan, Yuanming Zheng, Huiyi Zhu, Liping Zhu |
| Autore | Leng Shuying |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (LII, 596 p. 211 illus., 209 illus. in color.) |
| Disciplina | 910.951 |
| Collana | Springer Geography |
| Soggetto topico |
Geography
Ecology Human geography Climatic changes Hydrology Geography, general Environment, general Human Geography Climate Change/Climate Change Impacts Hydrology/Water Resources |
| ISBN | 981-10-1884-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction: Interpreting the Geographical Sciences from a Perspective of Bibliometric Analysis -- Chapter 1 An Overview of Development in the Geographical Sciences -- Chapter 2 Trends in the Development of the Four Branches of the Geographical Sciences -- Chapter 3 Strategic Research Issues on the Geographical Sciences -- Chapter 4 A Review and Outlook of Research Fields on the Geographical Sciences Regarding NSFC. |
| Record Nr. | UNINA-9910254015003321 |
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Leng Shuying
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Mechanical self-assembly : science and applications / / Xi Chen, editor
| Mechanical self-assembly : science and applications / / Xi Chen, editor |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | New York, : Springer, 2013 |
| Descrizione fisica | 1 online resource (212 p.) |
| Disciplina | 621 |
| Altri autori (Persone) | ChenXi |
| Soggetto topico |
Thin films - Mechanical properties
Self-organizing systems |
| ISBN |
1-283-93363-2
1-4614-4562-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Mechanical Self-Assembly in Nature -- Mechanical Self-Assembly vs. Morphogenesis -- Shaping by Active Deformation of Soft Elastic Sheets -- Ion Beam Induced Self-Assembled Wrinkles -- A Kinetics Approach to Surface Wrinkling of Elastic Thin Films -- Crease Instability on the Surface of a Solid -- Buckling Delamination of Compressed Thin Films -- Delaminated Film Buckling Microchannels -- Mechanical Self-Assembly on Curved Substrates. . |
| Record Nr. | UNINA-9910437889103321 |
| New York, : Springer, 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Reading Development and Difficulties in Monolingual and Bilingual Chinese Children / / edited by Xi Chen, Qiuying Wang, Yang Cathy Luo
| Reading Development and Difficulties in Monolingual and Bilingual Chinese Children / / edited by Xi Chen, Qiuying Wang, Yang Cathy Luo |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (264 p.) |
| Disciplina | 495.1 |
| Collana | Literacy Studies, Perspectives from Cognitive Neurosciences, Linguistics, Psychology and Education |
| Soggetto topico |
Literacy
Applied linguistics Language and languages - Study and teaching Psycholinguistics Applied Linguistics Language Education Psycholinguistics and Cognitive Lingusitics |
| ISBN |
9789400773806
9400773803 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foreword -- Preface -- Psycholinguistic Study of Reading Chinese. Morphological Awareness and Learning to Read Chinese and English -- Visual, Phonological and Orthographic Strategies in Learning to Read Chinese -- How Character Reading Can Be Different from Word Reading in Chinese and Why It Matters for Chinese Reading Development -- Fostering Reading Comprehension and Writing Composition in Chinese Children -- Exploring the Relationship of Parental Influences, Motivation for Reading and Reading Achievement in Chinese First Graders -- Reading Disability in Chinese Children. Helping Children with Reading Disability in Chinese: The Response to Intervention Approach with Effective Evidence-Based Curriculum -- Rapid Automatized Naming and Its Unique Contribution to Reading: Evidence from Chinese Dyslexia -- Bilingual and Biliteracy Development in Chinese and English. L1-Induced Facilitation in Biliteracy Development in Chinese and English -- Effect of Early Bilingualism on Metalinguistic Development and Language Processing: Evidence from Chinese-speaking Bilingual Children -- Contributions of Phonology, Orthography, and Morphology in Chinese-English Biliteracy Acquisition: A One-year Longitudinal Study -- Children’s literature in Chinese. Chinese Children’s Literature in North America -- China and Chinese as Mirrored in Multicultural Youth Literature: A Study of Award-Winning Picture Books Featuring Ethnic Chinese from 1993 to 2009. |
| Record Nr. | UNINA-9910484887203321 |
| Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Reliability based airframe maintenance optimization and applications / / He Ren, Yong Chen, Xi Chen
| Reliability based airframe maintenance optimization and applications / / He Ren, Yong Chen, Xi Chen |
| Autore | Ren He |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | London, England : , : Academic Press, , 2017 |
| Descrizione fisica | 1 online resource (237 pages) |
| Disciplina | 629.1346 |
| Soggetto topico |
Airplanes - Maintenance and repair
Airframes |
| ISBN | 0-12-812669-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910583370003321 |
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Ren He
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| London, England : , : Academic Press, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Tensor Network Contractions [[electronic resource] ] : Methods and Applications to Quantum Many-Body Systems / / by Shi-Ju Ran, Emanuele Tirrito, Cheng Peng, Xi Chen, Luca Tagliacozzo, Gang Su, Maciej Lewenstein
| Tensor Network Contractions [[electronic resource] ] : Methods and Applications to Quantum Many-Body Systems / / by Shi-Ju Ran, Emanuele Tirrito, Cheng Peng, Xi Chen, Luca Tagliacozzo, Gang Su, Maciej Lewenstein |
| Autore | Ran Shi-Ju |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 150 p. 68 illus., 65 illus. in color.) |
| Disciplina | 530.15 |
| Collana | Lecture Notes in Physics |
| Soggetto topico |
Physics
Quantum physics Quantum optics Statistical physics Machine learning Elementary particles (Physics) Quantum field theory Mathematical Methods in Physics Quantum Physics Quantum Optics Statistical Physics and Dynamical Systems Machine Learning Elementary Particles, Quantum Field Theory |
| Soggetto non controllato |
Physics
Quantum physics Quantum optics Statistical physics Machine learning Elementary particles (Physics) Quantum field theory |
| ISBN | 3-030-34489-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Tensor Network: Basic Definitions and Properties -- Two-Dimensional Tensor Networks and Contraction Algorithms -- Tensor Network Approaches for Higher-Dimensional Quantum Lattice Models -- Tensor Network Contraction and Multi-Linear Algebra -- Quantum Entanglement Simulation Inspired by Tensor Network -- Summary. |
| Record Nr. | UNISA-996418171403316 |
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Ran Shi-Ju
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Tensor Network Contractions [[electronic resource] ] : Methods and Applications to Quantum Many-Body Systems / / by Shi-Ju Ran, Emanuele Tirrito, Cheng Peng, Xi Chen, Luca Tagliacozzo, Gang Su, Maciej Lewenstein
| Tensor Network Contractions [[electronic resource] ] : Methods and Applications to Quantum Many-Body Systems / / by Shi-Ju Ran, Emanuele Tirrito, Cheng Peng, Xi Chen, Luca Tagliacozzo, Gang Su, Maciej Lewenstein |
| Autore | Ran Shi-Ju |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham, : Springer Nature, 2020 |
| Descrizione fisica | 1 online resource (XIV, 150 p. 68 illus., 65 illus. in color.) |
| Disciplina | 530.15 |
| Collana | Lecture Notes in Physics |
| Soggetto topico |
Physics
Quantum physics Quantum optics Statistical physics Machine learning Elementary particles (Physics) Quantum field theory Mathematical Methods in Physics Quantum Physics Quantum Optics Statistical Physics and Dynamical Systems Machine Learning Elementary Particles, Quantum Field Theory |
| Soggetto non controllato |
Physics
Quantum physics Quantum optics Statistical physics Machine learning Elementary particles (Physics) Quantum field theory |
| ISBN | 3-030-34489-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Tensor Network: Basic Definitions and Properties -- Two-Dimensional Tensor Networks and Contraction Algorithms -- Tensor Network Approaches for Higher-Dimensional Quantum Lattice Models -- Tensor Network Contraction and Multi-Linear Algebra -- Quantum Entanglement Simulation Inspired by Tensor Network -- Summary. |
| Record Nr. | UNINA-9910372747203321 |
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Ran Shi-Ju
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| Cham, : Springer Nature, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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