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Principles of Mechanics [[electronic resource] ] : Fundamental University Physics / / by Salma Alrasheed
Principles of Mechanics [[electronic resource] ] : Fundamental University Physics / / by Salma Alrasheed
Autore Alrasheed Salma
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham, : Springer Nature, 2019
Descrizione fisica 1 online resource (XI, 173 p. 288 illus., 167 illus. in color.)
Disciplina 531
Collana Advances in Science, Technology & Innovation, IEREK Interdisciplinary Series for Sustainable Development
Soggetto topico Mechanics
Mechanical engineering
Elementary particles (Physics)
Quantum field theory
Classical Mechanics
Mechanical Engineering
Elementary Particles, Quantum Field Theory
Soggetto non controllato Physics
Mechanics
Mechanical engineering
Elementary particles (Physics)
Quantum field theory
ISBN 3-030-15195-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Units and Vectors -- Kinematics -- Newton’s Laws -- Work and Energy -- Impulse, Momentum and Collisions -- System of Particles -- Rotation of Rigid Bodies -- Rolling and Static Equilibrium -- Central Force Motion -- Oscillatory Motion.
Record Nr. UNINA-9910337901203321
Alrasheed Salma  
Cham, : Springer Nature, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
Ran Shi-Ju  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
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
Ran Shi-Ju  
Cham, : Springer Nature, 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui