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» Using Python to Solve Partial Differential Equations
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RAS
2007
115views more  RAS 2007»
13 years 7 months ago
A variational method for the recovery of dense 3D structure from motion
The purpose of this study is to investigate a variational formulation of the problem of three-dimensional (3D) interpretation of temporal image sequences based on the 3D brightnes...
Hicham Sekkati, Amar Mitiche
SIAMMAX
2010
156views more  SIAMMAX 2010»
13 years 2 months ago
Preconditioned Conjugate Gradient Method for Optimal Control Problems with Control and State Constraints
Optimality systems and their linearizations arising in optimal control of partial differential equations with pointwise control and (regularized) state constraints are considered. ...
Roland Herzog, Ekkehard W. Sachs
CPHYSICS
2007
89views more  CPHYSICS 2007»
13 years 8 months ago
Numerical differentiation of experimental data: local versus global methods
In the context of the analysis of measured data, one is often faced with the task to differentiate data numerically. Typically, this occurs when measured data are concerned or dat...
Karsten Ahnert, Markus Abel
ITCC
2000
IEEE
14 years 12 days ago
A Unified Derivation of Operational Matrices for Integration in Systems Analysis
Using the operational matrix of an orthogonal function to perform integration for solving, identifying and optimizing a linear dynamic system has several advantages: (1) the metho...
Jiunn-lin Wu, Chin-hsing Chen, Chih-fan Chen
SIAMSC
2008
179views more  SIAMSC 2008»
13 years 8 months ago
Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
Santi S. Adavani, George Biros