top

  Info

  • Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.

  Info

  • Utilizzare questo link per rimuovere la selezione effettuata.
Austenitic TRIP/TWIP Steels and Steel-Zirconia Composites : Design of Tough, Transformation-Strengthened Composites and Structures / / edited by Horst Biermann, Christos G. Aneziris
Austenitic TRIP/TWIP Steels and Steel-Zirconia Composites : Design of Tough, Transformation-Strengthened Composites and Structures / / edited by Horst Biermann, Christos G. Aneziris
Autore Biermann Horst
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XXVI, 829 p. 569 illus., 284 illus. in color.)
Disciplina 620.11
Collana Springer Series in Materials Science
Soggetto topico Structural materials
Metals
Ceramics
Glass
Composites (Materials)
Composite materials
Engineering—Materials
Mathematical models
Structural Materials
Metallic Materials
Ceramics, Glass, Composites, Natural Materials
Materials Engineering
Mathematical Modeling and Industrial Mathematics
Soggetto non controllato Structural Materials
Metallic Materials
Ceramics, Glass, Composites, Natural Materials
Materials Engineering
Mathematical Modeling and Industrial Mathematics
Metals and Alloys
Ceramics
Steel-Matrix Composite
Austenitic Stainless Steels
Powder Metallurgy
Fracture Toughness
Mechanical Modeling
Melt Flow Behavior
CrMnNi Steels
Ceramic Casting
Melt Infiltration
Open Access
Materials science
Structural engineering
Metals technology / metallurgy
Industrial chemistry & chemical engineering
Mathematical modelling
Maths for engineers
ISBN 3-030-42603-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto From the contents: Powder Metallurgy -- Steel Infiltration -- Steel Technology -- Electron Beam Welding -- Materials Testing -- Fracture Mechanics -- Microanalysis -- Thermodynamic Modelling -- Fluid Dynamics -- Continuum Mechanics -- Micromechanical Materials Modelling.
Record Nr. UNINA-9910404112903321
Biermann Horst  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
International Symposium on Mathematics, Quantum Theory, and Cryptography [[electronic resource] ] : Proceedings of MQC 2019 / / edited by Tsuyoshi Takagi, Masato Wakayama, Keisuke Tanaka, Noboru Kunihiro, Kazufumi Kimoto, Yasuhiko Ikematsu
International Symposium on Mathematics, Quantum Theory, and Cryptography [[electronic resource] ] : Proceedings of MQC 2019 / / edited by Tsuyoshi Takagi, Masato Wakayama, Keisuke Tanaka, Noboru Kunihiro, Kazufumi Kimoto, Yasuhiko Ikematsu
Autore Takagi Tsuyoshi
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XII, 274 p. 83 illus., 24 illus. in color.)
Disciplina 519
Collana Mathematics for Industry
Soggetto topico Applied mathematics
Engineering mathematics
Data structures (Computer science)
Quantum computers
Computer security
Mathematical and Computational Engineering
Data Structures and Information Theory
Quantum Computing
Systems and Data Security
Soggetto non controllato Mathematical and Computational Engineering
Data Structures and Information Theory
Quantum Computing
Systems and Data Security
Mathematical and Computational Engineering Applications
Data and Information Security
Cryptography for Quantum Computers
Post-quantum Cryptography
Number Theory
Representation Theory
Quantum Physics
Security Modelling
Open Access
Maths for engineers
Algorithms & data structures
Information theory
Mathematical theory of computation
Computer security
Network security
ISBN 981-15-5191-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Sustainable Cryptography -- What Kind of Insight Provide Analytical Solutions of Quantum Models? -- Emerging Ultrastrong Coupling between Light and Matter Observed in Circuit Quantum Electrodynamics -- Quantum Random Numbers Generated by a Cloud Superconducting Quantum Computer -- Quantum Factoring Algorithm: Resource Estimation and Survey of Experiments -- A Review of Secret Key Distribution Based on Bounded Observability -- Towards Constructing Fully Homomorphic Encryption without Ciphertext Noise from Group Theory -- Number Theoretic Study in Quantum Interactions -- From the Bloch Sphere to Phase Space Representations with the Gottesman-Kitaev-Preskill Encoding -- A Data Concealing Technique with Random Noise Disturbance and A Restoring Technique for the Concealed Data by Stochastic Process Estimation.
Record Nr. UNISA-996466557703316
Takagi Tsuyoshi  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
International Symposium on Mathematics, Quantum Theory, and Cryptography : Proceedings of MQC 2019 / / edited by Tsuyoshi Takagi, Masato Wakayama, Keisuke Tanaka, Noboru Kunihiro, Kazufumi Kimoto, Yasuhiko Ikematsu
International Symposium on Mathematics, Quantum Theory, and Cryptography : Proceedings of MQC 2019 / / edited by Tsuyoshi Takagi, Masato Wakayama, Keisuke Tanaka, Noboru Kunihiro, Kazufumi Kimoto, Yasuhiko Ikematsu
Autore Takagi Tsuyoshi
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XII, 274 p. 83 illus., 24 illus. in color.)
Disciplina 519
Collana Mathematics for Industry
Soggetto topico Applied mathematics
Engineering mathematics
Data structures (Computer science)
Quantum computers
Computer security
Mathematical and Computational Engineering
Data Structures and Information Theory
Quantum Computing
Systems and Data Security
Soggetto non controllato Mathematical and Computational Engineering
Data Structures and Information Theory
Quantum Computing
Systems and Data Security
Mathematical and Computational Engineering Applications
Data and Information Security
Cryptography for Quantum Computers
Post-quantum Cryptography
Number Theory
Representation Theory
Quantum Physics
Security Modelling
Open Access
Maths for engineers
Algorithms & data structures
Information theory
Mathematical theory of computation
Computer security
Network security
ISBN 981-15-5191-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Sustainable Cryptography -- What Kind of Insight Provide Analytical Solutions of Quantum Models? -- Emerging Ultrastrong Coupling between Light and Matter Observed in Circuit Quantum Electrodynamics -- Quantum Random Numbers Generated by a Cloud Superconducting Quantum Computer -- Quantum Factoring Algorithm: Resource Estimation and Survey of Experiments -- A Review of Secret Key Distribution Based on Bounded Observability -- Towards Constructing Fully Homomorphic Encryption without Ciphertext Noise from Group Theory -- Number Theoretic Study in Quantum Interactions -- From the Bloch Sphere to Phase Space Representations with the Gottesman-Kitaev-Preskill Encoding -- A Data Concealing Technique with Random Noise Disturbance and A Restoring Technique for the Concealed Data by Stochastic Process Estimation.
Record Nr. UNINA-9910424948503321
Takagi Tsuyoshi  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Autore Tveito Aslak
Edizione [1st edition 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XVII, 100 p. 25 illus. in color.)
Disciplina 570.285
Collana Reports on Computational Physiology
Soggetto topico Bioinformatics
Cell physiology
Computational biology
Excitation (Physiology) - Mathematical models
Mathematical models
Soggetto non controllato Mathematical and Computational Biology
Applications of Mathematics
Mathematical Modeling and Industrial Mathematics
applied mathematics
scientific computing
computational physiology
finite element methods
cardiac modelling
biomechanics
numerical methods
preconditioning
open access
Maths for scientists
Mathematical modelling
Maths for engineers
ISBN 3-030-61157-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Derivation of a cell-based mathematical model of excitable cells -- A cell-based model for ionic electrodiffusion in excitable tissue -- Modeling cardiac mechanics on a subcellular scale -- Operator splitting and finite difference schemes for solving the EMI model -- Solving the EMI equations using finite element methods -- Iterative solvers for EMI models -- Improving neural simulations with the EMI model -- Index.
Record Nr. UNINA-9910424947903321
Tveito Aslak  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Modeling excitable tissue : the EMI framework / / editors, Aslak Tveito, Kent-Andre Mardal, Marie E. Rognes
Autore Tveito Aslak
Edizione [1st edition 2021.]
Pubbl/distr/stampa Springer Nature, 2021
Descrizione fisica 1 online resource (XVII, 100 p. 25 illus. in color.)
Disciplina 570.285
Collana Reports on Computational Physiology
Soggetto topico Bioinformatics
Cell physiology
Computational biology
Excitation (Physiology) - Mathematical models
Mathematical models
Soggetto non controllato Mathematical and Computational Biology
Applications of Mathematics
Mathematical Modeling and Industrial Mathematics
applied mathematics
scientific computing
computational physiology
finite element methods
cardiac modelling
biomechanics
numerical methods
preconditioning
open access
Maths for scientists
Mathematical modelling
Maths for engineers
ISBN 3-030-61157-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Derivation of a cell-based mathematical model of excitable cells -- A cell-based model for ionic electrodiffusion in excitable tissue -- Modeling cardiac mechanics on a subcellular scale -- Operator splitting and finite difference schemes for solving the EMI model -- Solving the EMI equations using finite element methods -- Iterative solvers for EMI models -- Improving neural simulations with the EMI model -- Index.
Record Nr. UNISA-996466563303316
Tveito Aslak  
Springer Nature, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection [[electronic resource] /] / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection [[electronic resource] /] / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
Autore Zhou Xuefeng
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XVII, 137 p. 50 illus., 44 illus. in color.)
Disciplina 629.892
Soggetto topico Robotics
Automation
Statistics 
Control engineering
Mechatronics
Machine learning
Mathematical models
Robotics and Automation
Bayesian Inference
Control, Robotics, Mechatronics
Machine Learning
Mathematical Modeling and Industrial Mathematics
Soggetto non controllato Robotics and Automation
Bayesian Inference
Control, Robotics, Mechatronics
Machine Learning
Mathematical Modeling and Industrial Mathematics
Robotic Engineering
Control, Robotics, Automation
Collaborative Robot Introspection
Nonparametric Bayesian Inference
Anomaly Monitoring and Diagnosis
Multimodal Perception
Anomaly Recovery
Human-robot Collaboration
Robot Safety and Protection
Hidden Markov Model
Robot Autonomous Manipulation
open access
Robotics
Bayesian inference
Automatic control engineering
Electronic devices & materials
Machine learning
Mathematical modelling
Maths for engineers
ISBN 981-15-6263-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Robot Introspection -- Nonparametric Bayesian Modeling of Multimodal Time Series -- Incremental Learning Robot Complex Task Representation and Identification -- Nonparametric Bayesian Method for Robot Anomaly Monitoring -- Nonparametric Bayesian Method for Robot Anomaly Diagnose -- Learning Policy for Robot Anomaly Recovery based on Robot.
Record Nr. UNISA-996418268803316
Zhou Xuefeng  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection / / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
Nonparametric Bayesian Learning for Collaborative Robot Multimodal Introspection / / by Xuefeng Zhou, Hongmin Wu, Juan Rojas, Zhihao Xu, Shuai Li
Autore Zhou Xuefeng
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XVII, 137 p. 50 illus., 44 illus. in color.)
Disciplina 629.892
Soggetto topico Robotics
Automation
Statistics 
Control engineering
Mechatronics
Machine learning
Mathematical models
Robotics and Automation
Bayesian Inference
Control, Robotics, Mechatronics
Machine Learning
Mathematical Modeling and Industrial Mathematics
Soggetto non controllato Robotics and Automation
Bayesian Inference
Control, Robotics, Mechatronics
Machine Learning
Mathematical Modeling and Industrial Mathematics
Robotic Engineering
Control, Robotics, Automation
Collaborative Robot Introspection
Nonparametric Bayesian Inference
Anomaly Monitoring and Diagnosis
Multimodal Perception
Anomaly Recovery
Human-robot Collaboration
Robot Safety and Protection
Hidden Markov Model
Robot Autonomous Manipulation
open access
Robotics
Bayesian inference
Automatic control engineering
Electronic devices & materials
Machine learning
Mathematical modelling
Maths for engineers
ISBN 981-15-6263-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Introduction to Robot Introspection -- Nonparametric Bayesian Modeling of Multimodal Time Series -- Incremental Learning Robot Complex Task Representation and Identification -- Nonparametric Bayesian Method for Robot Anomaly Monitoring -- Nonparametric Bayesian Method for Robot Anomaly Diagnose -- Learning Policy for Robot Anomaly Recovery based on Robot.
Record Nr. UNINA-9910416119103321
Zhou Xuefeng  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Probability in Electrical Engineering and Computer Science [[electronic resource] ] : An Application-Driven Course
Probability in Electrical Engineering and Computer Science [[electronic resource] ] : An Application-Driven Course
Autore Walrand Jean
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (390 p.)
Soggetto topico Maths for computer scientists
Communications engineering / telecommunications
Maths for engineers
Probability & statistics
Soggetto non controllato Probability and Statistics in Computer Science
Communications Engineering, Networks
Mathematical and Computational Engineering
Probability Theory and Stochastic Processes
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Mathematical and Computational Engineering Applications
Probability Theory
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Applied probability
Hypothesis testing
Detection theory
Expectation maximization
Stochastic dynamic programming
Machine learning
Stochastic gradient descent
Deep neural networks
Matrix completion
Linear and polynomial regression
Open Access
Maths for computer scientists
Mathematical & statistical software
Communications engineering / telecommunications
Maths for engineers
Probability & statistics
Stochastics
ISBN 3-030-49995-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464521903316
Walrand Jean  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Probability in Electrical Engineering and Computer Science : An Application-Driven Course
Probability in Electrical Engineering and Computer Science : An Application-Driven Course
Autore Walrand Jean
Pubbl/distr/stampa Cham, : Springer International Publishing AG, 2021
Descrizione fisica 1 online resource (390 p.)
Soggetto topico Maths for computer scientists
Communications engineering / telecommunications
Maths for engineers
Probability & statistics
Soggetto non controllato Probability and Statistics in Computer Science
Communications Engineering, Networks
Mathematical and Computational Engineering
Probability Theory and Stochastic Processes
Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Mathematical and Computational Engineering Applications
Probability Theory
Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences
Applied probability
Hypothesis testing
Detection theory
Expectation maximization
Stochastic dynamic programming
Machine learning
Stochastic gradient descent
Deep neural networks
Matrix completion
Linear and polynomial regression
Open Access
Maths for computer scientists
Mathematical & statistical software
Communications engineering / telecommunications
Maths for engineers
Probability & statistics
Stochastics
ISBN 3-030-49995-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910488709003321
Walrand Jean  
Cham, : Springer International Publishing AG, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Software for Exascale Computing - SPPEXA 2016-2019 [[electronic resource] /] / edited by Hans-Joachim Bungartz, Severin Reiz, Benjamin Uekermann, Philipp Neumann, Wolfgang E. Nagel
Software for Exascale Computing - SPPEXA 2016-2019 [[electronic resource] /] / edited by Hans-Joachim Bungartz, Severin Reiz, Benjamin Uekermann, Philipp Neumann, Wolfgang E. Nagel
Autore Bungartz Hans-Joachim
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Springer Nature, 2020
Descrizione fisica 1 online resource (XII, 620 p. 256 illus., 231 illus. in color.)
Disciplina 003.3
Collana Lecture Notes in Computational Science and Engineering
Soggetto topico Computer simulation
Computer software—Reusability
Computer mathematics
Input-output equipment (Computers)
Applied mathematics
Engineering mathematics
Physics
Simulation and Modeling
Performance and Reliability
Computational Science and Engineering
Input/Output and Data Communications
Mathematical and Computational Engineering
Numerical and Computational Physics, Simulation
Soggetto non controllato Simulation and Modeling
Performance and Reliability
Computational Science and Engineering
Input/Output and Data Communications
Mathematical and Computational Engineering
Numerical and Computational Physics, Simulation
Computer Science
Computer Hardware
Mathematical and Computational Engineering Applications
Theoretical, Mathematical and Computational Physics
open access
computational algorithms and numerical methods
data management and exploration
high-performance computing
simulation software and applications
system software and software tools
Computer modelling & simulation
Systems analysis & design
Maintenance & repairs
Maths for scientists
Computer networking & communications
Distributed databases
Maths for engineers
Mathematical physics
ISBN 3-030-47956-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto EXA-DUNE: Flexible PDE Solvers, Numerical Methods, and Applications -- Smart-DASH: Smart Data Structures and Algorithms with Support for Hierarchical Locality -- Terra-Neo: Integrated Co-Design of an Exascale Earth Mantle Modeling Framework -- EXASTEEL-2: Dual Phase Steels - from Micro to Macro Properties -- GROMEX: Unified Long-range Electrostatics and Dynamic Protonation for Realistic Biomolecular Simulations on the Exascale -- ExaStencils: Advanced Stencil-Code Engineering -- ExaFSA: Exascale Simulation of Fluid-Structure-Acoustics Interactions -- EXAHD: An Exa-Scalable Two-Level Sparse Grid Approach for Higher-Dimensional Problems in Plasma Physics and Beyond -- EXAMAG: Exascale Simulations of the Magnetic Universe -- FFMK: A Fast and Fault Tolerant Microkernel-based System for Exascale Computing -- ESSEX-II: Equipping Sparse Solvers for Exascale -- EXASOLVERS: Extreme Scale Solvers for Coupled Problems -- ADA-FS: Advanced Data Placement via Ad-hoc File Systems at Extreme Scales -- AIMES: Advanced Computation and I/O Methods for Earth-System Simulations. ExaDG: High-Order Discontinuous Galerkin for the Exa-Scale. MYX-MUST Correctness Checking for YML and XMP Programs -- ExtraPeak: Automatic Performance Modeling of HPC Applications with Multiple Model Parameters.
Record Nr. UNISA-996418265803316
Bungartz Hans-Joachim  
Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui