Literatura académica sobre el tema "DMRG algorithme"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte las listas temáticas de artículos, libros, tesis, actas de conferencias y otras fuentes académicas sobre el tema "DMRG algorithme".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Artículos de revistas sobre el tema "DMRG algorithme"
BARTEL, ERIK y ANDREAS SCHADSCHNEIDER. "QUANTUM CORNER — TRANSFER MATRIX DMRG". International Journal of Modern Physics C 19, n.º 08 (agosto de 2008): 1145–61. http://dx.doi.org/10.1142/s012918310801290x.
Texto completoHALLBERG, KAREN. "RECENT APPLICATIONS OF THE DMRG METHOD". International Journal of Modern Physics B 20, n.º 19 (30 de julio de 2006): 2624–35. http://dx.doi.org/10.1142/s0217979206035102.
Texto completoAlvarez, Gonzalo. "Implementation of the SU(2) Hamiltonian symmetry for the DMRG algorithm". Computer Physics Communications 183, n.º 10 (octubre de 2012): 2226–32. http://dx.doi.org/10.1016/j.cpc.2012.04.025.
Texto completoDevakul, Trithep, Vedika Khemani, Frank Pollmann, David A. Huse y S. L. Sondhi. "Obtaining highly excited eigenstates of the localized XX chain via DMRG-X". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 375, n.º 2108 (30 de octubre de 2017): 20160431. http://dx.doi.org/10.1098/rsta.2016.0431.
Texto completoSchollwöck, Ulrich. "The density-matrix renormalization group: a short introduction". Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 369, n.º 1946 (13 de julio de 2011): 2643–61. http://dx.doi.org/10.1098/rsta.2010.0382.
Texto completoOseledets, Ivan. "DMRG Approach to Fast Linear Algebra in the TT-Format". Computational Methods in Applied Mathematics 11, n.º 3 (2011): 382–93. http://dx.doi.org/10.2478/cmam-2011-0021.
Texto completode Melo, Leonardo Alves Moreira, Marcus Vinícius Gonzaga Ferreira y Flávio Henrique Teles Vieira. "Optimal Power Allocation and Delay Minimization Based on Conflict Graph Algorithm for Device-to-Device Communications". Applied Sciences 13, n.º 24 (18 de diciembre de 2023): 13352. http://dx.doi.org/10.3390/app132413352.
Texto completoAlekseeva, A. A., V. M. Bukharov y V. M. Losev. "Diagnosis of hail based on DMRL-С and numerical modeling data". Hydrometeorological research and forecasting 2 (15 de junio de 2023): 114–27. http://dx.doi.org/10.37162/2618-9631-2023-2-114-127.
Texto completoSCHOLLWÖCK, ULRICH. "RECENT PROGRESS IN THE DENSITY-MATRIX RENORMALIZATION GROUP". International Journal of Modern Physics B 21, n.º 13n14 (30 de mayo de 2007): 2564–75. http://dx.doi.org/10.1142/s0217979207043890.
Texto completoZhang, Ai. "Influence of data mining technology in information analysis of human resource management on macroscopic economic management". PLOS ONE 16, n.º 5 (18 de mayo de 2021): e0251483. http://dx.doi.org/10.1371/journal.pone.0251483.
Texto completoTesis sobre el tema "DMRG algorithme"
Zocca, Andrea. "An application of Trotter's algorithm to DMRG simulation". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2017. http://amslaurea.unibo.it/13452/.
Texto completoBadreddine, Siwar. "Symétries et structures de rang faible des matrices et tenseurs pour des problèmes en chimie quantique". Electronic Thesis or Diss., Sorbonne université, 2024. http://www.theses.fr/2024SORUS029.
Texto completoThis thesis presents novel numerical algorithms and conducts a comprehensive study of some existing numerical methods to address high-dimensional challenges arising from the resolution of the electronic Schrödinger equation in quantum chemistry. Focusing on two specific problems, our approach involves the identification and exploitation of symmetries and low-rank structures within matrices and tensors, aiming to mitigate the curse of dimensionality. The first problem considered in this thesis is the efficient numerical evaluation of the long-range component of the range-separated Coulomb potential and the long-range two-electron integrals 4th-order tensor which occurs in many quantum chemistry methods. We present two novel approximation methods. This is achieved by relying on tensorized Chebyshev interpolation, Gaussian quadrature rules combined with low-rank approximations as well as Fast Multipole Methods (FMM). This work offers a detailed explanation of these introduced approaches and algorithms, accompanied by a thorough comparison between the newly proposed methods. The second problem of interest is the exploitation of symmetries and low-rank structures to derive efficient tensor train representations of operators involved in the Density Matrix Renormalization Group (DMRG) algorithm. This algorithm, referred to as the Quantum Chemical DMRG (QC-DMRG) when applied in the field of quantum chemistry, is an accurate iterative optimization method employed to numerically solve the time-independent Schrödinger equation. This work aims to understand and interpret the results obtained from the physics and chemistry communities and seeks to offer novel theoretical insights that, to the best of our knowledge, have not received significant attention before. We conduct a comprehensive study and provide demonstrations, when necessary, to explore the existence of a particular block-sparse tensor train representation of the Hamiltonian operator and its associated eigenfunction. This is achieved while maintaining physical conservation laws, manifested as group symmetries in tensors, such as the conservation of the particle number. The third part of this work is dedicated to the realization of a proof-of-concept Quantum Chemical DMRG (QC-DMRG) Julia library, designed for the quantum chemical Hamiltonian operator model. We exploit here the block-sparse tensor train representation of both the operator and the eigenfunction. With these structures, our goal is to speed up the most time-consuming steps in QC-DMRG, including tensor contractions, matrix-vector operations, and matrix compression through truncated Singular Value Decompositions (SVD). Furthermore, we provide empirical results from various molecular simulations, while comparing the performance of our library with the state-of-the-art ITensors library where we show that we attain a similar performance
Rossini, Davide. "Quantum information processing and Quantum spin systems". Doctoral thesis, Scuola Normale Superiore, 2007. http://hdl.handle.net/11384/85856.
Texto completoProdhan, Suryoday. "Theoretical Investigation of OPTO-Electronic Processes in Organic Conjugated Systems Within Interacting Models : Exact Diagonalization and DMRG Studies". Thesis, 2017. http://etd.iisc.ac.in/handle/2005/3565.
Texto completoProdhan, Suryoday. "Theoretical Investigation of OPTO-Electronic Processes in Organic Conjugated Systems Within Interacting Models : Exact Diagonalization and DMRG Studies". Thesis, 2017. http://etd.iisc.ernet.in/2005/3565.
Texto completoCapítulos de libros sobre el tema "DMRG algorithme"
Schollwöck, Ulrich. "Matrix Product State Algorithms: DMRG, TEBD and Relatives". En Springer Series in Solid-State Sciences, 67–98. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35106-8_3.
Texto completoChen, Xu, Shuo Liu y Xuan Di. "Learning Dual Mean Field Games on Graphs". En Frontiers in Artificial Intelligence and Applications. IOS Press, 2023. http://dx.doi.org/10.3233/faia230299.
Texto completoActas de conferencias sobre el tema "DMRG algorithme"
OHNO, YASUO, YOSHITAKA SASAKI y CHIKA YAMAZAKI. "ON 3-VARIABLE EXPONENTIAL POLYNOMIALS AND QUANTUM ALGORITHMS". En Proceedings of the Summer School on Decoherence, Entanglement & Entropy and Proceedings of the Workshop on MPS & DMRG. WORLD SCIENTIFIC, 2012. http://dx.doi.org/10.1142/9789814407199_0008.
Texto completoShi-jun, Zhang, Yu Xin, Yu Shao-hua y Huang Ben-xiong. "A DMR Fair Algorithm for Realtime Scheduler". En 2008 Second International Conference on Future Generation Communication and Networking (FGCN). IEEE, 2008. http://dx.doi.org/10.1109/fgcn.2008.98.
Texto completoLee, Seungsoo y George S. Dulikravich. "Accelerated Computation of Viscous, Steady Incompressible Flows". En ASME 1989 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1989. http://dx.doi.org/10.1115/89-gt-45.
Texto completoLEE, SEUNGSOO y GEORGE DULIKRAVICH. "Performance analysis of DMR method for accelerations of iterative algorithms". En 29th Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1991. http://dx.doi.org/10.2514/6.1991-241.
Texto completoZhang, Zheng, Tianjun Hou, Josselin Kherroubi y Daria Khvostichenko. "Event Detection in Drilling Remarks Using Natural Language Processing". En IADC/SPE International Drilling Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/208779-ms.
Texto completoZhang, Y., W. Hu, Y. Rong y David W. Yen. "Graph-Based Setup Planning and Tolerance Decomposition for Computer-Aided Fixture Design". En ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0662.
Texto completoXiao, Xinyi y Sanjay Joshi. "Decomposition and Sequencing for a 5-Axis Hybrid Manufacturing Process". En ASME 2020 15th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/msec2020-8385.
Texto completoGonçalves, CB, AC Prado Domingos, B. Yousefi, JR Souza y H. Fernandes. "Effects of region of interest on breast cancer detection using CNN and infrared imaging". En QIRT. QIRT Council, 2022. http://dx.doi.org/10.21611/qirt.2022.2019.
Texto completo