Risultati della ricerca - distributed evolution (algorithm OR (algorithmics OR algorithmics))

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

Sommario: “... algorithms. For states that are contained in the training distribution, we observe convergence in a regime...”
Testo

A Stochastic Differential Equation Framework for Modeling Queue Length Dynamics Inspired by Self-Similarity di Mustavee, Shakib, Agarwal, Shaurya, Singh, Arvind

Sommario: “...This article develops a stochastic differential equation (SDE) for modeling the temporal evolution...”
Testo

GULP II: Hierarchical Distribution and Evolution of Young Stellar Structures in NGC 4449 di 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

Sommario: “...We investigate the hierarchical distribution and evolution of young stellar structures in the dwarf...”
Testo

Convergence and stability of a micro-macro acceleration method:linear slow-fast stochastic differential equations with additive noise di Zieliński, Przemysław, Vandecasteele, Hannes, Samaey, Giovanni

Sommario: “...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 di Bhardwaj, Utkarsh, Sand, Andrea E., Warrier, Manoj

Sommario: “... 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 di Chang, Yen-Jui, Wang, Wei-Ting, Liu, Chen-Yu, Wang, Yun-Yuan, Chang, Ching-Ray

Sommario: “... to generate high precision and efficiency of target probability distributions. Our method integrates...”
Testo

Distributed Time-Varying Gaussian Regression via Kalman Filtering di Taddei, Nicola, Maggioni, Riccardo, Eising, Jaap, De Pasquale, Giulia, Dorfler, Florian

Sommario: “..., 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 di Ranabhat, Nishan, Collura, Mario

Sommario: “.... 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 di Foroni, Beatrice, Merlo, Luca, Petrella, Lea

Sommario: “... 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 di Schween, Nils W., Schulze, Florian, Reville, Brian

Sommario: “... equation for astrophysical applications. Sapphire++ employs a numerical algorithm based on a spherical...”
Testo

Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators di Wang, Longlin, Song, Yanke, Jiang, Kuanhao, Sur, Pragya

Sommario: “... sources and distribution shifts. We rigorously establish state evolution for multi-environment GLAMP. We...”
Testo

Image driven deep learning method with FFT solver for predicting the microscale full field stress of stochastic boundary composites di Yong Liao, Bing Wang, Hongyue Wang, Songhe Meng, Guodong Fang

Sommario: “... directly predict the full field stress distribution and mechanical properties of composites solely based...”
Testo

Star-forming environments in smoothed particle magnetohydrodynamics simulations II: Re-simulating isolated clumps to determine equivalence of extracted clumps and parent simulation... di Wurster, James, Rowan, Connar

Sommario: “... 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... di 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.

Sommario: “... (1 EeV=$10^{18}$ eV) using the distributions of the depth of shower maximum $X_\mathrm{max...”
Testo

Shock waves in Interstellar Cloud-Cloud and Wind-Cloud Collisions di Navarrete, Sebastián, Pinargote, Bryan J., Banda-Barragán, Wladimir E.

Sommario: “... of the gas. We utilise our own python-based shock-finding algorithm to study the properties and distribution...”
Testo

Density Evolution Analysis of Generalized Low-density Parity-check Codes under a Posteriori Probability Decoder di Chang, Dongxu, Peng, Qingqing, Ma, Zhiming, Wang, Guanghui, Yin, Dawei

Sommario: “..., on the BI-AWGN channel, we apply and improve the Gaussian approximation algorithm in the density evolution...”
Testo

Scalable Implicit Solvers with Dynamic Mesh Adaptation for a Relativistic Drift-Kinetic Fokker-Planck-Boltzmann Model di Rudi, Johann, Heldman, Max, Constantinescu, Emil M., Tang, Qi, Tang, Xian-Zhu

Sommario: “... adaptive mesh refinement (AMR), distributed memory parallelization, and dynamic load balancing...”
Testo

AURO: Reinforcement Learning for Adaptive User Retention Optimization in Recommender Systems di Xue, Zhenghai, Cai, Qingpeng, Yang, Bin, Hu, Lantao, Jiang, Peng, Gai, Kun, An, Bo

Sommario: “... 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 di Chen, Tianen, Shang, Yun

Sommario: “... 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 di Sreedevi, Anu, Karak, Bidya Binay, Jha, Bibhuti Kumar, Gupta, Rambahadur, Banerjee, Dipankar

Sommario: “... substantial growth during their evolution, the instances where our algorithm fails to capture the initial...”
Testo