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Convergence tests

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Convergence tests

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Convergence Analysis and Criterion for Data Assimilation with Sensitivities from Monte Carlo Neutron Transport Codes

Heat flows on hyperbolic spaces

Expectation propagation in the large data limit

MATHICSE Technical Report : A local discontinuous Galerkin gradient discretization method for linear and quasilinear elliptic equations

Implementation of Diverted Equilibria in the GBS simulation code

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Real-Time Optimization Based on Adaptation of Surrogate Models

CARTHA / The Form of Form / Issue I / How to Learn Better

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Convergence Analysis and Criterion for Data Assimilation with Sensitivities from Monte Carlo Neutron Transport Codes

Implementation of Diverted Equilibria in the GBS simulation code

Heat flows on hyperbolic spaces

Inference for Generalized Linear Models via Alternating Directions and Bethe Free Energy Minimization

Real-Time Optimization Based on Adaptation of Surrogate Models

Expectation propagation in the large data limit

MATHICSE Technical Report : A local discontinuous Galerkin gradient discretization method for linear and quasilinear elliptic equations

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

Dynamic Optimization of Constrained Semi-Batch Processes Using Pontryagin’s Minimum Principle – An Effective Quasi-Newton Approach

CARTHA / The Form of Form / Issue I / How to Learn Better