Results 201 to 210 of about 708,503 (346)

Simulation based sequential Monte Carlo methods for discretely observed Markov processes [PDF]

, 2014
Peter Neal
openalex   +1 more source

Design for flexibility: An adjustable robust optimization approach with decision‐dependent uncertainty

AIChE Journal, EarlyView.
ABSTRACT Flexibility is a crucial characteristic of industrial systems that face increasing volatilities and is therefore essential to ensure feasible operation under uncertainty. Flexibility is often closely tied to the design of a system, and careful consideration must be taken to understand the trade‐off between design cost and operational ...
Jnana Sai Jagana, Sreekanth Rajagopalan, Satyajith Amaran, Qi Zhang   +3 more
wiley   +1 more source

Designing proteins: Mimicking natural protein sequence heterogeneity. [PDF]

J Chem Phys
Lequerica-Mateos M, Martin J, Onuchic JN, Morcos F, Coluzza I.   +4 more
europepmc   +1 more source

Probabilistic estimation method for frequency response function level of noise and vibration on operational transfer path analysis using Markov Chain Monte Carlo Method

, 2019
Daisuke Muto, Wataru Sato, Takashi Yoshizawa   +2 more
openalex   +2 more sources

The derivation of Particle Monte Carlo methods for plasma modeling from transport equations [PDF]

, 2008
S. Longo
openalex   +1 more source

Designing Memristive Materials for Artificial Dynamic Intelligence

Advanced Intelligent Discovery, EarlyView.
Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley   +1 more source

Direct computations of viscoelastic moduli of biomolecular condensates. [PDF]

J Chem Phys
Cohen SR, Banerjee PR, Pappu RV.
europepmc   +1 more source

A Comparison of Monte Carlo Methods for Computing Marginal Likelihoods of Item Response Theory Models. [PDF]

J Korean Stat Soc, 2019
Liu Y, Hu G, Cao L, Wang X, Chen MH.
europepmc   +1 more source

A Simulation Study of a Pixelated CZT Detector Combined Energy-Independent Collimator Using Finite Element and Monte Carlo Methods for SPECT Applications

, 2019
Yoonsuk Huh
openalex   +1 more source

Multivariate Monte Carlo Methods for the Reflection Grating Spectrometers on XMM-Newton

, 2004
J Peterson
openalex   +2 more sources