Résultats de la recherche - coding (algorithm OR ((algorithmics OR Algorithmssics) OR Algorithmssics))

A metaheuristic algorithm for large maximum weight independent set problems par Yuanyuan Dong, Andrew V. Goldberg, Alexander Noe, Nikos Parotsidis, Mauricio G. C. Resende, Quico Spaen

Table des matières: “… of vertices. Our algorithm is, in general, competitive and outperforms this openly available code on large…”
Accéder au texte intégral

A double-pivot degenerate-robust simplex algorithm for linear programming par Yang, Yaguang, Vitor, Fabio

Table des matières: “… is proposed. The proposed algorithm is implemented in MATLAB. The MATLAB code is tested, along with a MATLAB…”
Accéder au texte intégral

The cost of quantum algorithms for biochemistry: A case study in metaphosphate hydrolysis par LaRose, Ryan, Alvertis, Antonios M., Bidart, Alan, DalFavero, Ben, Economou, Sophia E., Mullinax, J. Wayne, Ramôa, Mafalda, Rowland, Jeremiah, Rubenstein, Brenda, Sawaya, Nicolas PD, Vaish, Prateek, Rotskoff, Grant M., Tubman, Norm M.

Table des matières: “… therapeutics. In particular, we consider three algorithms for solving the ground state energy estimation…”
Accéder au texte intégral

Paraconsistent-Lib: an intuitive PAL2v algorithm Python Library par Junior, Arnaldo de Carvalho, da Cruz, Diego Oliveira, Alves, Bruno da Silva, Junior, Fernando da Silva Paulo, Filho, João Inacio da Silva

Table des matières: “… PAL2v algorithms in reasoning and decision-making systems. Paraconsistent-Lib is designed as a general…”
Accéder au texte intégral

Shell-model study of $^{58}$Ni using quantum computing algorithm par Bhoy, Bharti, Stevenson, Paul

Table des matières: “… states. We compare a classical shell model code, the values obtained by diagonalization…”
Accéder au texte intégral

A simple algorithm for output range analysis for deep neural networks par Rojas, Helder, Rojas, Nilton, B., Espinoza J., Huamanchumo, Luis

Table des matières: “… Networks (DNNs) by integrating a Simulated Annealing (SA) algorithm tailored to operate within constrained…”
Accéder au texte intégral

A quantum Monte Carlo algorithm for arbitrary high-spin Hamiltonians par Babakhani, Arman, Barash, Lev, Hen, Itay

Table des matières: “…We present a universal quantum Monte Carlo algorithm for simulating arbitrary high-spin (spin…”
Accéder au texte intégral

Sampling algorithms in statistical physics: a guide for statistics and machine learning par Faulkner, Michael F., Livingstone, Samuel

Table des matières: “…We discuss several algorithms for sampling from unnormalized probability distributions…”
Accéder au texte intégral

An implicit, conservative electrostatic particle-in-cell algorithm for paraxial magnetic nozzles par Jimenez, Pedro, Chacon, Luis, Merino, Mario

Table des matières: “… of spurious sheaths at the edges of the domain. The algorithm is verified in a periodic magnetic mirror…”
Accéder au texte intégral

Performance optimization of BLAS algorithms with band matrices for RISC-V processors par Pirova, Anna, Vodeneeva, Anastasia, Kovalev, Konstantin, Ustinov, Alexander, Kozinov, Evgeny, Liniov, Alexey, Volokitin, Valentin, Meyerov, Iosif

Table des matières: “… for x86-64 onto RISC-V CPUs? Are current compilers capable of effectively optimizing C and C++ codes…”
Accéder au texte intégral

Zero-shot Denoising via Neural Compression: Theoretical and algorithmic framework par Zafari, Ali, Chen, Xi, Jalali, Shirin

Table des matières: “… the theoretical foundations of compression-based denoising. Our code is available at: https://github.com…”
Accéder au texte intégral

Pathway to exascale: experiences in adopting more scalable algorithms in ESPResSo par Grad, Jean-Noël, Reinauer, Alexander, Holm, Christian, Weeber, Rudolf

Table des matières: “… particle-based methods and grid-based methods. These algorithms have hardware-dependent performance…”
Accéder au texte intégral

An algorithm for clustering with confidence-based must-link and cannot-link constraints par Baumann, Philipp, Hochbaum, Dorit S.

Table des matières: “… of runtime and various metrics of solution quality. The code of the PCCC algorithm is publicly available…”
Accéder au texte intégral

A spatiotemporal style transfer algorithm for dynamic visual stimulus generation par Greco, Antonino, Siegel, Markus

Table des matières: “… of predictive coding deep networks. These results showcase potential applications of our algorithm as a…”
Accéder au texte intégral

Statistical algorithms for low-frequency diffusion data: A PDE approach par Giordano, Matteo, Wang, Sven

Table des matières: “… implementation of a large class of popular statistical algorithms, including (i) preconditioned Crank-Nicolson…”
Accéder au texte intégral

Shor's algorithm is possible with as few as 10,000 reconfigurable atomic qubits par Cain, Madelyn, Xu, Qian, King, Robbie, Picard, Lewis R. B., Levine, Harry, Endres, Manuel, Preskill, John, Huang, Hsin-Yuan, Bluvstein, Dolev

Table des matières: “…-correcting codes, efficient logical instruction sets, and circuit design, we show that Shor's algorithm can…”
Accéder au texte intégral

Enhanced text classification through an improved discrete laying chicken algorithm par Fatemeh Daneshfar, Mohammad Javad Aghajani

Table des matières: “… of the proposed algorithm in comparison to the existing one. The code is available at https://github.com/m0javad…”
Accéder au texte intégral

HoWDe: a validated algorithm for Home and Work location Detection par De Sojo, Sílvia, Lucchini, Lorenzo, Langle-Chimal, Ollin D., Fraiberger, Samuel P., Alessandretti, Laura

Table des matières: “… rates, and differences in data sparsity across individuals. The code allows users to tune a small set…”
Accéder au texte intégral

FAST-MEPSA: an optimised and faster version of peak detection algorithm MEPSA par Maistrello, Manuele, Maccary, Romain, Guidorzi, Cristiano

Table des matières: “…We present FAST-MEPSA, an optimised version of the MEPSA algorithm developed to detect peaks…”
Accéder au texte intégral

Enhancing nuclear cross-section predictions with deep learning: the DINo algorithm par Gesson, Levana, Henning, Greg, Collin, Jonathan, Vanstalle, Marie

Table des matières: “…) is introduced as a deep learning-based algorithm designed to improve cross-section predictions by learning…”
Accéder au texte intégral