PPT-LP: Sensitivity Analysis

1 Sensitivity Analysis Basic theory Understanding optimum solution Sensitivity analysis Summer 2013 LP Sensitivity Analysis 2 Introduction to Sensitivity Analysis Sensitivity analysis means determining effects of changes in parameters on the solution It is also called What if analysis Parametric analysis Post optimality analysis etc It is not restricted to LP problems Here is an example using Data Table. rainrate. increases. Kubar. , T., D. L. Hartmann, and R. Wood, 2009: Understanding the importance of microphysics . and macrophysics . for warm rain in marine low clouds: Part I. Satellite observations. . Jake Blanchard. Fall . 2010. Introduction. Sensitivity Analysis = the study of how uncertainty in the output of a model can be apportioned to different input parameters. Local sensitivity = focus on sensitivity at a particular set of input parameters, usually using gradients or partial derivatives. Thorsten Wagener. thorsten.wagener@bristol.ac.uk. With Francesca . Pianosi. Francesca.pianosi. @bristol.ac.uk. My background. Civil engineering with focus on hydrology. University of Siegen, TU Delft, Imperial College London. James S. Strand. The University of Texas at Austin. Funding and Computational Resources Provided by the Department of Energy through the PSAAP Program. Predictive Engineering and Computational Sciences. 11 July 2017. Internalisation. of effects. Part 2 and section 17 - avoid, remedy, mitigate. RMA not a no effects statute. Internalisation . as far as possible (. Winstone Aggregates Limited v Papakura District Council. Mirella Fraquelli. U.O. Gastroenterologia 2. Fondazione IRCCS Ca’ Granda . Ospedale Maggiore Policlinico, Milan. DIAGNOSIS: the pathway of a diagnostic test from bench to bedside. Basic residential course. Data. Lijing Wang. 1. , . Yangzhong. . Tang. 2. , . Stevan. . Djakovic. 2. , . Julie . Rice. 2. , . Tony . Wu. 2. , . Daniel J. . Anderson. 2. , . Yuan . Yao. 3. DahShu. Data Science Symposium: Computational Precision Health . Parikshit. . Gopalan. . Microsoft Research. Rocco . Servedio. . Columbia Univ.. Avi Wigderson . IAS. , . Princeton. and. Avishay. Tal . IAS. , . Princeton. *. (*see ECCC version). (Real) degree of Boolean functions . Jeremiah Blocki. Avrim Blum. Anupam Datta. Or Sheffet. Theory Lunch: Fall 2012. Goal. useful statistics. Preserve Privacy and Release Useful Statistics. 2. Outline. Background. Social Networks. Differential Privacy. (The 10. th. . Adjoint. Workshop). Roanoke. , West Virginia. June . 1. -5, . 2015. The Use of Ensemble-Based Sensitivity with Observations to Improve Predictability of Severe Convective Events. Brian . RubellaTyphoidliveTemperature sensitivity of vaccinesFreeze driedLiquid no adjuvantLiquid withalumadjuvantVaccine formulationRotavirusRotavirusHPVPneumoPCVinactivatedMeaslesOPVBCGHibHepBDTwPPentavalen Jiancheng Wu. 1, 2. , . Shaopeng Wang. 1, 2. , . Youhua Wang. 1, 2. , . Chengcheng Liu. 1, 2. *. 1. State Key Laboratory of Reliability and Intelligence of Electrical Equipment. ,. Hebei University of Technology. This project proposes to study sensitivity analysis for guiding the evaluation of uncertainty of data in the visual analytics process. We aim to achieve:. Semi-automatic Extraction of Sensitivity Information. Explanations. for Robust . Query Evaluation . in Probabilistic Databases. Bhargav Kanagal, . Jian. Li & . Amol. Deshpande. Managing Uncertain Data using Probabilistic Databases. Uncertain, Incomplete & Noisy data generated by a variety of data sources.