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  • Public lecture

  • Decision modeling

    • Authors : Đặng Vũ, Tùng (2010)

  • Chapter 1: Decision modeling, Operations research. Chapter 2: Linear programming uses a mathematical model to describe the problem of concern. Chapter 3: The simplex algorithm, An LP in this form is said to be in standard form. Chapter 4: Sensitivity analysis is concerned with how changes in an LP’s parameters affect the optimal solution. Chapter 5: Transportation and assignment problem: Applications of the transportation and assignment problems te...
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  • Ebooks (Sách điện tử)

  • Heat and Mass Transfer - Advances in Modelling and Experimental Study for Industrial Applications

    • Authors : Ren, Yong (2019)

  • Heat and mass transfer are ubiquitous transport phenomena in many fields, from the natural environment and living organisms to the engineering process. This book focuses on the latest advances in applying fundamental heat and mass transfer theory and novel technologies for addressing a wide range of industrial problems of interest. This book will present readers with a recent analytical study, CFD modelling, and experimental investigations of heat and&#x...
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  • Journal article

  • Mechanistic insights of glucosome condensate formation by stochastic modeling approaches

    • Authors : Kang, Hye-Won (2023)

  • Human liver-type phosphofructokinase 1 (PFKL) has been shown to play a scaffolder role to recruit and organize glycolytic and gluconeogenic enzymes into a multienzyme metabolic condensate, the glucosome, that regulates glucose flux in living human cells. However, it has been challenging to characterize which factors control phase separation of PFKL and so glucosome condensates in a living cell, thus hampering to understand a mechanism of reversible glucosome&...
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  • Journal article

  • Open Power System Data – Frictionless data for electricity system modelling

    • Authors : Wiese, Frauke (2019)

  • The quality of electricity system modelling heavily depends on the input data used. Although a lot of data is publicly available, it is often dispersed, tedious to process and partly contains errors. We argue that a central provision of input data for modelling has the character of a public good: it reduces overall societal costs for quantitative energy research as redundant work is avoided, and it improves transparency and reproducibility ...
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  • Book

  • Theory, Application, and Implementation of Monte Carlo Method in Science and Technology

    • Authors : Saidi Bidokhti, Pooneh (2019)

  • The Monte Carlo method is a numerical technique to model the probability of all possible outcomes in a process that cannot easily be predicted due to the interference of random variables. It is a technique used to understand the impact of uncertainty, ambiguity, and risk in forecasting models. This book is organized into three sections and presents the general principles of the Monte Carlo method with an emphasis on techniques to decr...