Resultados de búsqueda - distributed evolution ((algorithm OR Algorithmssic) OR (algorithmics OR algorithmics))

Sample-efficient estimation of entanglement entropy through supervised learning por Rieger, Maximilian, Reh, Moritz, Gärttner, Martin

Tabla de Contenidos: “… algorithms. For states that are contained in the training distribution, we observe convergence in a regime…”
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A Stochastic Differential Equation Framework for Modeling Queue Length Dynamics Inspired by Self-Similarity por Mustavee, Shakib, Agarwal, Shaurya, Singh, Arvind

Tabla de Contenidos: “…This article develops a stochastic differential equation (SDE) for modeling the temporal evolution…”
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GULP II: Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449 por Meena, Beena, Sabbi, Elena, Zeidler, Peter, Elmegreen, Bruce G., Eldridge, Jan J., Bajaj, Varun, Gennaro, Mario, Pasquali, Anna, Elmegreen, Debra M., Klessen, Ralf S., Smith, Linda J., Bianchi, Luciana, Wofford, Aida, Facchini, Pietro, Gallagher III, John S., Calzetti, Daniela, Grebel, Eva K., Adamo, Angela

Tabla de Contenidos: “…We investigate the hierarchical distribution and evolution of young stellar structures in the dwarf…”
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Convergence and stability of a micro-macro acceleration method:linear slow-fast stochastic differential equations with additive noise por Zieliński, Przemysław, Vandecasteele, Hannes, Samaey, Giovanni

Tabla de Contenidos: “…We analyse the convergence and stability of a micro-macro acceleration algorithm for Monte Carlo…”
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Pattern Matching and Classification of Clusters in Collision Cascades por Bhardwaj, Utkarsh, Sand, Andrea E., Warrier, Manoj

Tabla de Contenidos: “… in the micro-structural evolution during irradiation. Molecular dynamics simulations have been widely used…”
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Quantum Walks-Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration por Chang, Yen-Jui, Wang, Wei-Ting, Liu, Chen-Yu, Wang, Yun-Yuan, Chang, Ching-Ray

Tabla de Contenidos: “… to generate high precision and efficiency of target probability distributions. Our method integrates…”
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Distributed Time-Varying Gaussian Regression via Kalman Filtering por Taddei, Nicola, Maggioni, Riccardo, Eising, Jaap, De Pasquale, Giulia, Dorfler, Florian

Tabla de Contenidos: “…, and propose a new algorithm, DistKP, to track the time-varying coefficients via a distributed Kalman filter…”
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Thermalization of long range Ising model in different dynamical regimes: a full counting statistics approach por Ranabhat, Nishan, Collura, Mario

Tabla de Contenidos: “…. We quantify the thermalization behavior by comparing the full probability distribution function (PDF…”
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Expectile hidden Markov regression models for analyzing cryptocurrency returns por Foroni, Beatrice, Merlo, Luca, Petrella, Lea

Tabla de Contenidos: “… and describe their temporal evolution by introducing in the model time-dependent coefficients evolving…”
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Sapphire++: A particle transport code combining a spherical harmonic expansion and the discontinuous Galerkin method por Schween, Nils W., Schulze, Florian, Reville, Brian

Tabla de Contenidos: “… equation for astrophysical applications. Sapphire++ employs a numerical algorithm based on a spherical…”
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Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators por Wang, Longlin, Song, Yanke, Jiang, Kuanhao, Sur, Pragya

Tabla de Contenidos: “… sources and distribution shifts. We rigorously establish state evolution for multi-environment GLAMP. We…”
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Image driven deep learning method with FFT solver for predicting the microscale full field stress of stochastic boundary composites por Yong Liao, Bing Wang, Hongyue Wang, Songhe Meng, Guodong Fang

Tabla de Contenidos: “… directly predict the full field stress distribution and mechanical properties of composites solely based…”
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Star-forming environments in smoothed particle magnetohydrodynamics simulations II: Re-simulating isolated clumps to determine equivalence of extracted clumps and parent simulation... por Wurster, James, Rowan, Connar

Tabla de Contenidos: “… this, we modelled the evolution of 29 star forming clumps that were extracted from our previous simulations…”
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Measurement of the Depth of Maximum of Air-Shower Profiles with energies between $\mathbf{10^{18.5}}$ and $\mathbf{10^{20}}$ eV using the Surface Detector of the Pierre Auger Obser... por The Pierre Auger Collaboration, Halim, A. Abdul, Abreu, P., Aglietta, M., Allekotte, I., Cheminant, K. Almeida, Almela, A., Aloisio, R., Alvarez-Muñiz, J., Yebra, J. Ammerman, Anastasi, G. A., Anchordoqui, L., Andrada, B., Dourado, L. Andrade, Andringa, S., Apollonio, L., Aramo, C., Ferreira, P. R. Araújo, Arnone, E., Velázquez, J. C. Arteaga, Assis, P., Avila, G., Avocone, E., Bakalova, A., Barbato, F., Mocellin, A. Bartz, Berat, C., Bertaina, M. E., Bhatta, G., Bianciotto, M., Biermann, P. L., Binet, V., Bismark, K., Bister, T., Biteau, J., Blazek, J., Bleve, C., Blümer, J., Boháčová, M., Boncioli, D., Bonifazi, C., Arbeletche, L. Bonneau, Borodai, N., Brack, J., Orchera, P. G. Brichetto, Briechle, F. L., Bueno, A., Buitink, S., Buscemi, M., Büsken, M., Bwembya, A., Caballero-Mora, K. S., Cabana-Freire, S., Caccianiga, L., Campuzano, F., Caruso, R., Castellina, A., Catalani, F., Cataldi, G., Cazon, L., Cerda, M., Čermáková, B., Cermenati, A., Chinellato, J. A., Chudoba, J., Chytka, L., Clay, R. W., Cerutti, A. C. Cobos, Colalillo, R., Coluccia, M. R., Conceição, R., Condorelli, A., Consolati, G., Conte, M., Convenga, F., Santos, D. Correia dos, Costa, P. J., Covault, C. E., Cristinziani, M., Sanchez, C. S. Cruz, Dasso, S., Daumiller, K., Dawson, B. R., de Almeida, R. M., de Errico, B., de Jesús, J., de Jong, S. J., Neto, J. R. T. de Mello, De Mitri, I., de Oliveira, J., Franco, D. de Oliveira, de Palma, F., de Souza, V., De Vito, E., Del Popolo, A., Deligny, O., Denner, N., Deval, L., di Matteo, A., do, J. A., Dobre, M., Dobrigkeit, C., D'Olivo, J. C., Mendes, L. M. Domingues, Dorosti, Q., Anjos, J. C. dos, Anjos, R. C. dos, Ebr, J., Ellwanger, F., Emam, M., Engel, R., Epicoco, I., Erdmann, M., Etchegoyen, A., Evoli, C., Falcke, H., Farrar, G., Fauth, A. C., Fehler, T., Feldbusch, F., Fenu, F., Fernandes, A., Fick, B., Figueira, J. M., Filip, P., Filipčič, A., Fitoussi, T., Flaggs, B., Fodran, T., Fujii, T., Fuster, A., Galea, C., García, B., Gaudu, C., Gherghel-Lascu, A., Ghia, P. L., Giaccari, U., Glombitza, J., Gobbi, F., Gollan, F., Golup, G., Berisso, M. Gómez, Vitale, P. F. Gómez, Gongora, J. P., González, J. M., González, N., Góra, D., Gorgi, A., Gottowik, M., Guarino, F., Guedes, G. P., Guido, E., Gülzow, L., Hahn, S., Hamal, P., Hampel, M. R., Hansen, P., Harari, D., Harvey, V. M., Haungs, A., Hebbeker, T., Hojvat, C., Hörandel, J. R., Horvath, P., Hrabovský, M., Huege, T., Insolia, A., Isar, P. G., Janecek, P., Jilek, V., Johnsen, J. A., Jurysek, J., Kampert, K. -H., Keilhauer, B., Khakurdikar, A., Covilakam, V. V. Kizakke, Klages, H. O., Kleifges, M., Knapp, F., Köhler, J., Krieger, F., Kunka, N., Lago, B. L., Langner, N., de Oliveira, M. A. Leigui, Lema-Capeans, Y., Letessier-Selvon, A., Lhenry-Yvon, I., Lopes, L., Lu, L., Luce, Q., Lundquist, J. P., Payeras, A. Machado, Majercakova, M., Mandat, D., Manning, B. C., Mantsch, P., Mariani, F. M., Mariazzi, A. G., Mariş, I. C., Marsella, G., Martello, D., Martinelli, S., Bravo, O. Martínez, Martins, M. A., Mathes, H. -J., Matthews, J., Matthiae, G., Mayotte, E., Mayotte, S., Mazur, P. O., Medina-Tanco, G., Meinert, J., Melo, D., Menshikov, A., Merx, C., Michal, S., Micheletti, M. I., Miramonti, L., Mollerach, S., Montanet, F., Morejon, L., Mulrey, K., Mussa, R., Namasaka, W. M., Negi, S., Nellen, L., Nguyen, K., Nicora, G., Niechciol, M., Nitz, D., Nosek, D., Novotny, V., Nožka, L., Nucita, A., Núñez, L. A., Oliveira, C., Palatka, M., Pallotta, J., Panja, S., Parente, G., Paulsen, T., Pawlowsky, J., Pech, M., Pękala, J., Pelayo, R., Pelgrims, V., Pereira, L. A. S., Martins, E. E. Pereira, Bertolli, C. Pérez, Perrone, L., Petrera, S., Petrucci, C., Pierog, T., Pimenta, M., Platino, M., Pont, B., Pothast, M., Shahvar, M. Pourmohammad, Privitera, P., Prouza, M., Querchfeld, S., Rautenberg, J., Ravignani, D., Akim, J. V. Reginatto, Reininghaus, M., Reuzki, A., Ridky, J., Riehn, F., Risse, M., Rizi, V., de Carvalho, W. Rodrigues, Rodriguez, E., Rojo, J. Rodriguez, Roncoroni, M. J., Rossoni, S., Roth, M., Roulet, E., Rovero, A. C., Saftoiu, A., Saharan, M., Salamida, F., Salazar, H., Salina, G., Gomez, J. D. Sanabria, Sánchez, F., Santos, E. M., Santos, E., Sarazin, F., Sarmento, R., Sato, R., Savina, P., Schäfer, C. M., Scherini, V., Schieler, H., Schimassek, M., Schimp, M., Schmidt, D., Scholten, O., Schoorlemmer, H., Schovánek, P., Schröder, F. G., Schulte, J., Schulz, T., Sciutto, S. J., Scornavacche, M., Sedoski, A., Segreto, A., Sehgal, S., Shivashankara, S. U., Sigl, G., Simkova, K., Simon, F., Smau, R., Šmída, R., Sommers, P., Squartini, R., Stadelmaier, M., Stanič, S., Stasielak, J., Stassi, P., Strähnz, S., Straub, M., Suomijärvi, T., Supanitsky, A. D., Svozilikova, Z., Szadkowski, Z., Tairli, F., Tapia, A., Taricco, C., Timmermans, C., Tkachenko, O., Tobiska, P., Peixoto, C. J. Todero, Tomé, B., Torrès, Z., Travaini, A., Travnicek, P., Tueros, M., Unger, M., Uzeiroska, R., Vaclavek, L., Vacula, M., Galicia, J. F. Valdés, Valore, L., Varela, E., Vašíčková, V., Vásquez-Ramírez, A., Veberič, D., Quispe, I. D. Vergara, Verzi, V., Vicha, J., Vink, J., Vorobiov, S., Watanabe, C., Watson, A. A., Weindl, A., Wiencke, L., Wilczyński, H., Wittkowski, D., Wundheiler, B., Yue, B., Yushkov, A., Zapparrata, O., Zas, E., Zavrtanik, D., Zavrtanik, M.

Tabla de Contenidos: “… (1 EeV=$10^{18}$ eV) using the distributions of the depth of shower maximum $X_\mathrm{max…”
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Shock waves in Interstellar Cloud-Cloud and Wind-Cloud Collisions por Navarrete, Sebastián, Pinargote, Bryan J., Banda-Barragán, Wladimir E.

Tabla de Contenidos: “… of the gas. We utilise our own python-based shock-finding algorithm to study the properties and distribution…”
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Density Evolution Analysis of Generalized Low-density Parity-check Codes under a Posteriori Probability Decoder por Chang, Dongxu, Peng, Qingqing, Ma, Zhiming, Wang, Guanghui, Yin, Dawei

Tabla de Contenidos: “…, on the BI-AWGN channel, we apply and improve the Gaussian approximation algorithm in the density evolution…”
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Scalable Implicit Solvers with Dynamic Mesh Adaptation for a Relativistic Drift-Kinetic Fokker-Planck-Boltzmann Model por Rudi, Johann, Heldman, Max, Constantinescu, Emil M., Tang, Qi, Tang, Xian-Zhu

Tabla de Contenidos: “… adaptive mesh refinement (AMR), distributed memory parallelization, and dynamic load balancing…”
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AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems por Xue, Zhenghai, Cai, Qingpeng, Yang, Bin, Hu, Lantao, Jiang, Peng, Gai, Kun, An, Bo

Tabla de Contenidos: “… is the environment non-stationarity stemming from the continual and complex evolution of user behavior patterns over…”
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A hybrid quantum walk model unifying discrete and continuous quantum walks por Chen, Tianen, Shang, Yun

Tabla de Contenidos: “… the coin mechanism of discrete walks with the Hamiltonian-driven time evolution of continuous walks…”
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Backtracking Bipolar Magnetic Regions to their emergence: Two groups and their implication in the tilt measurements por Sreedevi, Anu, Karak, Bidya Binay, Jha, Bibhuti Kumar, Gupta, Rambahadur, Banerjee, Dipankar

Tabla de Contenidos: “… substantial growth during their evolution, the instances where our algorithm fails to capture the initial…”
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