Sensitivity theory (Mathematics)

Theory of sensitivity of dynamic systems : = an introduction / by: (Language materials, printed)

Numerical methods in sensitivity analysis and shape optimization / by: (Language materials, printed)

Missing data in longitudinal studies : = strategies for Bayesian modeling and sensitivity analysis / by: (Language materials, printed)

Sensitivity analysis for neural networks by: (Language materials, printed)

The nth-order comprehensive adjoint sensitivity analysis methodology.. Volume II,. Overcoming the curse of dimensionality : large-scale application by: (Electronic resources)

Missing data in longitudinal studies = strategies for Bayesian modeling and sensitivity analysis / by: (Electronic resources)

Design sensitivity analysis and optimization of electromagnetic systems by: (Electronic resources)

Sensitivity analysis = matrix methods in demography and ecology / by: (Electronic resources)

The nth-order comprehensive adjoint sensitivity analysis methodology.. Volume I,. Overcoming the curse of dimensionality : linear systems by: (Electronic resources)

The nth-order comprehensive adjoint sensitivity analysis methodology.. Volume III,. Overcoming the curse of dimensionality : nonlinear systems by: (Electronic resources)

State-space methods.

Control, Robotics, Mechatronics.

Electromagnetic devices- Mathematical models.

Statistics for Social Sciences, Humanities, Law.

Mathematical and Computational Biology.

Large scale systems.

Engineering Design.

Pattern Recognition.

Computational Physics and Simulations.

Numerical analysis.

Artificial Intelligence (incl. Robotics)

Electronics and Microelectronics, Instrumentation.

Demography.

Statistical Theory and Methods.

Neural networks (Computer science)

Statistical Physics, Dynamical Systems and Complexity.

Longitudinal method.

Power Electronics, Electrical Machines and Networks.

Mathematical and Computational Engineering Applications.

Missing observations (Statistics)

Continuous Optimization.

Community & Population Ecology.

Linear systems.

Energy Policy, Economics and Management.

Differentiable dynamical systems.

Bayesian statistical decision theory.

Computer Science.

Simulation and Modeling.

Mathematical Modeling and Industrial Mathematics.

Nuclear Physics.

Sensitivity theory (Mathematics)

Interior-point methods.

Mathematical optimization.