Revolutionary Design for Additive Manufacturing
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Jump to search filters?PLATO? Environment for Designing with Topology Optimization
Abstract not provided.
PLATO Platinum Topology Optimization
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A Second-Order Accurate Mathematical Optimization Algorithm Based on Gradient Information
Abstract not provided.
Designing with Topology Optimization
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Topology Optimzation for Next-Generation Design
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A general framework for mathematical optimization
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Application of Second-Order Optimization Algorithms to Topology Optimization Problems
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Considering DIC Uncertainties in Material Property Identification Using VFM
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Optimality conditions for the numerical solution of optimization problems with PDE constraints: Theoretical framework and applications to parameter identification and optimal control problems
A theoretical framework for the numerical solution of partial differential equation (PDE) constrained optimization problems is presented in this report. This theoretical framework embodies the fundamental infrastructure required to efficiently implement and solve this class of problems. Detail derivations of the optimality conditions required to accurately solve several parameter identification and optimal control problems are also provided in this report. This will allow the reader to further understand how the theoretical abstraction presented in this report translates to the application.
Inverse Structural Acoustic Source and Material Identification in a Massively Parallel Finite Element Framework
Abstract not provided.
Solving massive-scale inverse problems using matrix-fre dequential quadratic programming (SQP) methods
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Inverse Structural Acoustic Source and Material Identification in a Massively Parallel Finite Element Framework
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Inverse Problems for NW applications in a Massively Parallel Finite Element Framework
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Computational Solid Mechanics & Structural Dynamics The Scrum Software Development Process
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Efficient Handling of Inequality Constraints in a Matrix-Free Trust-Region SQP Algorithm
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Solving Large-Scale Inverse Problems in Elasticity Using Sequential Quadratic Programming (SQP)
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Numerical study of a matrix-free trust-region SQP method for equality constrained optimization
This is a companion publication to the paper 'A Matrix-Free Trust-Region SQP Algorithm for Equality Constrained Optimization' in which we develop and analyze a trust-region sequential quadratic programming (SQP) method that supports the matrix-free (iterative, in-exact) solution of linear systems. In this report, we document the numerical behavior of the algorithm applied to a variety of equality constrained optimization problems, with constraints given by partial differential equations (PDEs).
A Sequential Quadratic Programming (SQP) Algorithm and the Modied Error in Constitutive Equation (MECE) Principle for Parameter Estimation
Abstract not provided.
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