Harvard AM205 video 4.12 - PDE-constrained optimization
Harvard AM205 video 4.8 - Steepest descent and Newton methods for optimization
Harvard AM205 video 4.11 - Penalty methods and linear programming
Harvard AM205 video 4.1 - Introduction to nonlinear equations and optimization
Hessian-vector product with the 2nd-order adjoint-state method
A Unified Framework for Solving PDE-Constrained Forward and Inverse Problems
DDPS | Model reduction of partial differential equations via optimization-based feature tracking
Mini-Course: Computational methods in applied inverse problems - Class 04
MCA 2021 - Uncertainty principles and interpolation formulae in analysis and PDE - João Pedro Ramos
Adjoint for implicit governing equations
Networks and Economics 2
Introduction to PDE based optimization and uncertainty quantification
Lecture 4 Part 2: Nonlinear Root Finding, Optimization, and Adjoint Gradient Methods
optimize parameter in deqn
Adjoint Method of Inverses
Mixing enhancement for binary fluids using PDE-constrained optimization
Challenges in Solving Large scale PDE-constrained Optimization
Optimization - Differential Equations in Action
Adjoint Equation of a Linear System of Equations - by implicit derivative
KEYNOTE: Information Constrained Optimal Transport
