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Simulation and Monte Carlo : with applications in finance and MCMC /
Published 2007Subjects: “…Monte Carlo method…”
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Spreadsheet Data Resampling for Monte-Carlo Simulation
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Monte Carlo Algorithms for the Extracting of Electrical Capacitance
Published 2021-11-01Subjects: Get full text
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89
MONTE-CARLO FORECASTING OF LIQUIDITY UNDER UNCERTAINTY
Published 2019-02-01“…The article describes a liquidity forecasting process, use of financial modelling, and a method to forecast company’s liquidity via Monte-Carlo modelling.…”
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90
Eigenvalue-flipping algorithm for matrix Monte Carlo
Published 2022-04-01“…Many commonly used algorithms follow the Monte Carlo method, which is efficient for small matrix sizes but cannot guarantee ergodicity when working with large ones. …”
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MONTE-CARLO FORECASTING OF LIQUIDITY UNDER UNCERTAINTY
Published 2016-02-01“…The article describes a liquidity forecasting process, use of financial modelling, and a method to forecast company’s liquidity via Monte-Carlo modelling.…”
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Quantum-assisted Monte Carlo algorithms for fermions
Published 2023-08-01“…Our work provides a Monte Carlo toolkit for achieving quantum-enhanced calculation of fermion systems on near-term quantum devices.…”
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Accelerated quantum Monte Carlo with probabilistic computers
Published 2023-04-01“…Abstract Quantum Monte Carlo (QMC) techniques are widely used in a variety of scientific problems and much work has been dedicated to developing optimized algorithms that can accelerate QMC on standard processors (CPU). …”
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The Monte Carlo method of random simulation samples
Published 2023-09-01Subjects: “…monte carlo method…”
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Quantum advantage of Monte Carlo option pricing
Published 2023-01-01Subjects: Get full text
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Build your own Monte Carlo spreadsheet
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The bootstrap method for Monte Carlo integration inference
Published 2023-08-01Subjects: Get full text
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Parallel Monte Carlo computations in SCore environment
Published 2004-12-01Subjects: “…Monte Carlo methods…”
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Automatic differentiable Monte Carlo: Theory and application
Published 2023-07-01“…Differentiable programming has emerged as a key programming paradigm empowering rapid developments of deep learning while its applications to important computational methods such as Monte Carlo remain largely unexplored. Here we present the general theory enabling infinite-order automatic differentiation on expectations computed by Monte Carlo with unnormalized probability distributions, which we call automatic differentiable Monte Carlo (ADMC). …”
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Variational Monte Carlo with large patched transformers
Published 2024-03-01“…The proposed architectures reconstruct ground states with accuracies beyond state-of-the-art quantum Monte Carlo methods, allowing for the study of large Rydberg systems in different phases of matter and at phase transitions. …”
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