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1
Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems.
Algorithms for Stochastic Mixed-Integer Nonlinear Programming and Long Term Optimization of Electric Power Systems.
Li, Can.Chemical Engineering. | Carnegie Mellon University. | 2021
impresión
2
SABE tractors : an application of linear programming
SABE tractors : an application of linear programming
Genovese, Andrea | | 2016
impresión
3
Linear programming for operations research
Linear programming for operations research
Simmons, Donald M. | Holden-Day | 1972
impresión
4
Learning About and Over Networks: Optimized Designs for Network Tomography and Decentralized Learning.
Learning About and Over Networks: Optimized Designs for Network Tomography and Decentralized Learning.
Chiu, Cho-Chun. | The Pennsylvania State University. | 2024
impresión
5
Model-Free Algorithms for Constrained Reinforcement Learning in Discounted and Average Reward Settings.
Model-Free Algorithms for Constrained Reinforcement Learning in Discounted and Average Reward Settings.
Bai, Qinbo. | Purdue University. | 2024
impresión
6
Machine Learning and Statistical Approaches for Efficient Disease Screening.
Machine Learning and Statistical Approaches for Efficient Disease Screening.
Landolfi, Nicholas Charles. | Stanford University. | 2024
impresión
7
Matrix Sketching in Optimization.
Matrix Sketching in Optimization.
Dexter, Gregory. | Purdue University. | 2024
impresión
8
Sparsification, Online Optimization, and an Almost-Linear Time Algorithm for Maximum Flow- [electronic resource]
Sparsification, Online Optimization, and an Almost-Linear Time Algorithm for Maximum Flow- [electronic resource]
Liu, Yang. | Stanford University. | 2023
impresión
9
Time-Of-flight Neutron CT for Isotope Density Reconstruction and Cone-Beam CT Separable Models- [electronic resource]
Time-Of-flight Neutron CT for Isotope Density Reconstruction and Cone-Beam CT Separable Models- [electronic resource]
Balke, Thilo. | Purdue University. | 2023
impresión
10
Mean Field Methods for Stochastic Control and Optimization Problems.
Mean Field Methods for Stochastic Control and Optimization Problems.
Hui, Yue. | Stanford University. | 2021
impresión
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