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- 时间:2018年07月14日 更新 文件大小: 11.3 MB
- 开发商:KnowledgeMiner Software 官网首页
- 支持类型: Mac OS X 10.10 or later Microsoft Excel for Mac 2011 or later
- 支持语言:未知
来自Mac App Store官方介绍
- Tutorial 5 - Sensitivity Analysis Stream ID FEED MIBK1 MIBK2 M-A1 M-A2 WATER Temperature F 75.0 75.0 75.0 75.0 75.0 75.0 Pressure psi 50.00 50.00 50.00 50.00 50.00 50.00 Vapor Frac 0.000 0.000 0.000 0.000 0.000 0.000.
- Also defined as sensitivity analysis, what-if analysis is a brainstorming technique used to determine how projected performance is affected by changes in the assumptions that those projections are based upon. What if analysis is often used to compare different scenarios and their potential outcomes based on changing conditions.
Ockham is an innovative app for performing rigorous sensitivity analyses for a high number of parameters of a mathematical model. Sensitivity analysis is a crucially important tool for assessing and validating complex process models and to identify the most important drivers in these models. Ockham reads input and output data representing a mathematical model in an open Excel worksheet to perform a global sensitivity analysis of the model. Its new and original approach to global sensitivity analysis considers both single parameters and interactions between model parameters as a more complete, more accurate, and safer assessment of uncertainty than 'one-factor-at-a-time' approaches used in other software. Ockham is based on self-organizing analysis concepts, and it is designed to be a valuable tool in academic research and for private users, primarily. It allows without special knowledge in sensitivity analysis to identify most important drivers of models most objectively and easily from a small set of observational data.
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Features
- High degree of automation by implementation of original self-organizing modeling concepts proven by our other products for many years
- Based on the theory of variance-based global sensitivity analysis (Sobol indices)
- Determines the influence of not only single parameters but also their interactions.
- Simple, one-click communication with Excel to read data and to report analysis results back to Excel or other apps
…更多…
v2.0.2版本新功能
Version 2.0.2:
- Adds a new and original algorithm for self-detection of interactions between two or more input variables and for speed improvements of sensitivity analysis
- Minor bug fixes
- Maintenance and performance improvement release
…更多…
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文件名 | 版本 | 下载次数 | 上传时间 | 上传者 | 下载类型 | 操作 | |
---|---|---|---|---|---|---|---|
0. | http://www.knowledgeminer.eu/ockham/about.html官网下载 | 最新 | - | - | 官方 | Mac | 点击下载 |
1. | www.knowledgeminer.eu官方原版 | v1.0 | 55 | 2015-10-23 | 网友共享 | Mac 版 | 点击下载 |
2. | www.knowledgeminer.eu官方原版 | v1.1 | 49 | 2015-10-28 | 网友共享 | Mac 版 | 点击下载 |
3. | www.knowledgeminer.eu官方原版 | v2.0 | 47 | 2017-05-05 | 网友共享 | Mac 版 | 点击下载 |
4. | www.knowledgeminer.eu官方原版 | v2.0.2 | 38 | 2018-07-14 | 网友共享 | Mac 版 | 点击下载 |
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pysb.tools.sensitivity_analysis.
InitialsSensitivity
(*args, **kwargs)[source]¶Deprecated; use
PairwiseSensitivity
instead.pysb.tools.sensitivity_analysis.
PairwiseSensitivity
(solver, values_to_sample, objective_function, observable, sens_type='initials', sample_list=None)[source]¶Pairwise sensitivity analysis of model parameters
This class calculates the sensitivity of a specified model Observable tochanges in pairs of initial species concentrations. The results arestored in matrices described in Attributes.
Warning
The interface for this class is considered experimental and maychange without warning as PySB is updated.
Parameters: |
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References
- Harris, L.A., Nobile, M.S., Pino, J.C., Lubbock, A.L.R., Besozzi, D.,Mauri, G., Cazzaniga, P., and Lopez, C.F. 2017. GPU-powered modelanalysis with PySB/cupSODA. Bioinformatics 33, pp.3492-3494.https://academic.oup.com/bioinformatics/article/33/21/3492/3896987
Examples
Sensitivity analysis on the Tyson cell cycle model
Attributes: |
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create_boxplot_and_heatplot
(self, x_axis_label=None, save_name=None, out_dir=None, show=False)[source]¶Heat map and box plot of sensitivities
Parameters: |
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Returns: |
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create_individual_pairwise_plots
(self, save_name=None, out_dir=None, show=False)[source]¶Single plot containing heat plot of each specie pair
Parameters: |
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Returns: |
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create_plot_p_h_pprime
(self, save_name=None, out_dir=None, show=False)[source]¶Plot of P, H(B), and P’ Pixelmator 3 7 dmg mac crack download.
See
PairwiseSensitivity
attributes for descriptions of thesematricesParameters: |
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Returns: |
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run
(self, save_name=None, out_dir=None)[source]¶Run sensitivity analysis
Parameters: |
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sensitivity_multiset
¶Sensitivity analysis multiset (also called “Q” matrix)
Returns: |
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pysb.tools.sensitivity_analysis.
cartesian_product
(array_1, array_2)[source]¶Cartesian product between two lists
Ockham 1 0 – Sensitivity Analysis Tools
Parameters: |
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Returns: |
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