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Titlebook: Uncertainty Quantification using R; Eduardo Souza de Cursi Book 2023 The Editor(s) (if applicable) and The Author(s), under exclusive lice

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樓主: autoantibodies
21#
發(fā)表于 2025-3-25 04:28:38 | 只看該作者
Eduardo Souza de Cursise demonstrated no reduction in restenosis after stent implantation when arteries were pretreated with the drug..However, the recently introduced AVI-4126 (Resten-NG) belongs to a new family of molecules known as the phosphorodiamidate morpholino oligomers (PMO). These oligomers are comprised of dim
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發(fā)表于 2025-3-25 10:40:38 | 只看該作者
e compounds. For example, lead compounds that target the r(CCUG) repeats expansions that cause myotonic dystrophy type 2 (DM2) were lead optimized by using structure-based design. Specifically, the compounds were developed to allow an in situ click chemistry approach in which a disease-affected cell
23#
發(fā)表于 2025-3-25 11:41:41 | 只看該作者
Book 2023ns, and probability and statistics. Blending theoretical rigor and practical applications, this volume will be of interest to professionals, researchers, graduate and undergraduate students interested in the use of uncertainty quantification techniques within the framework of operations research and
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發(fā)表于 2025-3-25 19:34:31 | 只看該作者
0884-8289 this volume will be of interest to professionals, researchers, graduate and undergraduate students interested in the use of uncertainty quantification techniques within the framework of operations research and978-3-031-17787-3978-3-031-17785-9Series ISSN 0884-8289 Series E-ISSN 2214-7934
25#
發(fā)表于 2025-3-25 22:12:06 | 只看該作者
Some Tips to Use R and RStudio,This chapter presents the essentials of R, with a focus on the manipulation of variables, plotting, and the use of data frames and classes. We present also some useful packages for standard numerical methods, which will be used in the sequel. Examples of use are given.
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發(fā)表于 2025-3-26 04:12:00 | 只看該作者
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發(fā)表于 2025-3-26 04:47:01 | 只看該作者
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發(fā)表于 2025-3-26 12:09:30 | 只看該作者
Optimization Under Uncertainty,This chapter presents methods for the determination of the probability distribution of the solutions of continuous optimization problems: constrained or unconstrained, linear or nonlinear. We analyze also the distributions of Lagrange’s multipliers.
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發(fā)表于 2025-3-26 12:55:59 | 只看該作者
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發(fā)表于 2025-3-26 19:49:27 | 只看該作者
Eduardo Souza de CursiPresents the theory and methodology of uncertainty quantification, with applications in R and Python.Uses R and Python to solve complex, multivariate problems.Emphasizes practical applications of unce
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