A Sample Approximation Approach for Optimization with Probabilistic Constraints

James Luedtke; Shabbir Ahmed

doi:10.1137/070702928

A Sample Approximation Approach for Optimization with Probabilistic Constraints

SIAM Journal on Optimization ◽

10.1137/070702928 ◽

2008 ◽

Vol 19 (2) ◽

pp. 674-699 ◽

Cited By ~ 278

Author(s):

James Luedtke ◽

Shabbir Ahmed

Keyword(s):

Probabilistic Constraints ◽

Approximation Approach ◽

Sample Approximation

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Programming under probabilistic constraints with a random technology matrix

Optimization ◽

10.1080/02331937408842178 ◽

1974 ◽

Vol 5 (2) ◽

pp. 109-116 ◽

Cited By ~ 2

Author(s):

András Prékopa

Keyword(s):

Probabilistic Constraints ◽

Technology Matrix

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A function approximation approach to anomaly detection in propulsionsystem test data

10.2514/6.1993-1776 ◽

1993 ◽

Cited By ~ 1

Author(s):

BRUCE WHITEHEAD ◽

W. HOYT

Keyword(s):

Anomaly Detection ◽

Test Data ◽

Function Approximation ◽

Approximation Approach

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Optimization with Probabilistic Constraints

10.21236/ada567240 ◽

2011 ◽

Author(s):

Shabbir Ahmed

Keyword(s):

Probabilistic Constraints

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A Simple Analytic Approximation Approach for Estimating the True Random Effects and True Fixed Effects Stochastic Frontier Models

SSRN Electronic Journal ◽

10.2139/ssrn.1729011 ◽

2010 ◽

Author(s):

Wen-Jen Tsay ◽

Peng-Hsuan Ke

Keyword(s):

Random Effects ◽

Fixed Effects ◽

Stochastic Frontier ◽

Analytic Approximation ◽

Approximation Approach ◽

Stochastic Frontier Models

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Dynamic Bayesian Ratemaking: A Markov Chain Approximation Approach

SSRN Electronic Journal ◽

10.2139/ssrn.3309598 ◽

2019 ◽

Author(s):

Hong Li ◽

Yang Lu ◽

Wenjun Zhu

Keyword(s):

Markov Chain ◽

Approximation Approach ◽

Markov Chain Approximation ◽

Chain Approximation

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The Role of Ignorance About Keynes’s Inexact, Approximation Approach to Measurement in the A Treatise on Probability in the Keynes-Tinbergen Exchanges of 1938–1940

SSRN Electronic Journal ◽

10.2139/ssrn.3353637 ◽

2019 ◽

Author(s):

Michael Emmett Brady

Keyword(s):

Approximation Approach

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A Characteristic Approximation Approach to Defect Opening Profile Recognition in Magnetic Flux Leakage Detection

IEEE Transactions on Instrumentation and Measurement ◽

10.1109/tim.2021.3050185 ◽

2021 ◽

Vol 70 ◽

pp. 1-12

Author(s):

Yue Long ◽

Songling Huang ◽

Lisha Peng ◽

Shen Wang ◽

Wei Zhao

Keyword(s):

Magnetic Flux ◽

Magnetic Flux Leakage ◽

Leakage Detection ◽

Approximation Approach ◽

Flux Leakage

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A coupled closed-form/Doubly Asymptotic Approximation approach for the response of orthotropic plates subjected to an underwater explosion

Ships and Offshore Structures ◽

10.1080/17445302.2021.1918962 ◽

2021 ◽

pp. 1-15

Author(s):

Ye Pyae Sone Oo ◽

Hervé Le Sourne ◽

Olivier Dorival

Keyword(s):

Closed Form ◽

Asymptotic Approximation ◽

Underwater Explosion ◽

Orthotropic Plates ◽

Approximation Approach

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Anderson model out of equilibrium: Noncrossing-approximation approach to transport through a quantum dot

Physical Review B ◽

10.1103/physrevb.49.11040 ◽

1994 ◽

Vol 49 (16) ◽

pp. 11040-11052 ◽

Cited By ~ 448

Author(s):

Ned S. Wingreen ◽

Yigal Meir

Keyword(s):

Quantum Dot ◽

Anderson Model ◽

Approximation Approach

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Solving the stochastic support vector regression with probabilistic constraints by a high-performance neural network model

Engineering With Computers ◽

10.1007/s00366-020-01214-5 ◽

2021 ◽

Author(s):

Amir Feizi ◽

Alireza Nazemi ◽

Mohammad Reza Rabiei

Keyword(s):

Neural Network ◽

Support Vector Regression ◽

Network Model ◽

Neural Network Model ◽

High Performance ◽

Probabilistic Constraints ◽

Support Vector

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