Fully polynomial time (Σ , Π) -approximation schemes for continuous nonlinear newsvendor and continuous stochastic dynamic programs

Keyphrases

• Hardness Results 100%
• Additive Error 100%
• Fully Polynomial Time Approximation Scheme 100%
• Newsvendor 100%
• Approximation Scheme 100%
• Stochastic Dynamic Program 100%
• Affine 50%
• Newsvendor Problem 50%
• Supply Chain Management 50%
• Oracle 50%
• Multiplicative Error 50%
• Monotone 50%
• Cost Function 50%
• Error Parameter 50%
• Continuous State Space 50%
• Transition Function 50%
• Relative Error 50%
• Computational Evaluation 50%
• Continuous Action Space 50%
• Input Size 50%
• Small Additives 50%

Mathematics

• Fully Polynomial-Time Approximation Scheme 100%
• Stochastic Dynamic Program 100%
• Running Time 50%
• Multiplicative 50%
• Polynomial 50%
• Relative Error 50%
• Additive Error 50%
• Cost Function 50%
• Transition Function 50%
• Action Space 50%
• Application Area 50%

Computer Science

• Fully Polynomial-Time Approximation Scheme 100%
• approximation scheme 100%
• Stochastic Dynamic Program 100%
• And-States 50%
• Supply Chain 50%
• Application Area 50%
• Transition Function 50%