Browsing by Author "Forth, Shaun A."

AD tools and prospects for optimal AD in CFD flux Jacobian calculations

Tadjouddine, M.; Forth, Shaun A.; Pryce, J. (2002-01-01)

We consider the problem of linearising the short (approximately 100 lines of) code that defines the numerical fluxes of mass, energy and momentum across a-cell face in a finite volume compressible flow calculation. Typical ...

AD Tools and Prospects for Optimal AD in CFD Flux Jacobian Calculations.

Tadjouddine, Mohamed; Forth, Shaun A.; Pryce, John D. (2002-01-01)

We consider the problem of linearising the short (approximately 100 lines of) code that defines the numerical fluxes of mass, energy and momentum across a cell face in a finite volume compressible flow calculation. Typical ...

An AD-enabled optimization toolbox in LabVIEW(TM)

Gupta, Abhishek Kr.; Forth, Shaun A. (2012-07-30)

LabVIEW(TM) is a visual programming environment for data acquisition, instrument control and industrial automation. This article presents LVAD, a graphically programmed implementation of forward mode Automatic Differentiation ...

Adjoint Differentiation of a Structural Dynamics Solver.

Tadjouddine, Mohamed; Forth, Shaun A.; Keane, Andy J. (2006-12-01)

The design of a satellite boom using passive vibration control by Keane [J. of Sound and Vibration, 1995, 185(3),441-453] has previously been carried out using an energy function of the design geometry aimed at minimising ...

Aerofoil Optimisation via AD of a Multigrid Cell-Vertex Euler Flow Solver.

Forth, Shaun A.; Evans, Trevor P. (2002-01-01)

We report preliminary results in the use of ADIFOR 2.0 to determine aerodynamic sensitivities of a 2-D airfoil with respect to geometrical variables. Meshes are produced with a hyperbolic interpolation technique. The ...

Cranfield University centre of excellence in counter-terrorism

Forth, Shaun A.; Johnson, Stephen; Burrows, Stephanie J.; Sheldon, Robert Philip (2018-10-04)

The formation of Cranfield University’s Counterterrorism Centre of Excellence was announced in late summer 2017. It has been established in conjunction with Pool Re, a mutual reinsurer which underwrites over £2 trillion ...

A Discrete Sensitivity Solver for an Industrial CFD Code via Automatic Differentiation.

Standingford, David W. F.; Forth, Shaun A. (2002-01-01)

We report on development and validation of a discrete sensitivity solver for the BAE SYSTEMS/Airbus UK CFD code FLITE-3D. We used the Odyssee automatic differentiation (AD) tool to create a discrete forward sensitivity ...

An Efficient overloaded implementation of forward mode automatic differentiation in MATLAB

Forth, Shaun A. (ACM Association for Computing Machinery, 2006-06-01)

The Mad package described here facilitates the evaluation of first derivatives of multi-dimensional functions that are defined by computer codes written in MATLAB. The underlying algorithm is the well-known forward mode ...

Hierarchical automatic differentiation by vertex elimination and source transformation.

Tadjouddine, Mohamed; Forth, Shaun A.; Pryce, John D. (Springer-verlag, 2003-01-01)

We present a hierarchical scheme to extend the applicability of automatic differentiation (AD) by vertex elimination from the basic block level to code with branches and subroutine calls. We introduce the ELIAD tool that ...

High-Level Interfaces for the MAD (Matlab Automatic Differentiation) Package.

Forth, Shaun A.; Ketzscher, Robert (2004-01-01)

Presently, the MAD Automatic Differentiation package for matlab comprises an overloaded implementation of forward mode AD via the fmad class. A key design feature of the fmad class is a separation of the storage and ...

Improving the Performance of the Vertex Elimination Algorithm for Derivative Calculation.

Tadjouddine, Mohamed; Bodman, Frances; Pryce, John D.; Forth, Shaun A. (2006-01-01)

In previous work [TOMS, 2004, 30(3), 266--299], we used Markowitz-like heuristics aiming to find elimination sequences that minimise the number of floating-point operations (flops) for vertex elimination Jacobian code. ...

Improving the Performance of the Vertex Elimination Algorithm for Derivative Calculation.

Tadjouddine, M.; Bodman, F.; Pryce, John D.; Forth, Shaun A. (2006-01-01)

In previous work [TOMS, 2004, 30(3), 266--299], we used Markowitz-like heuristics aiming to find elimination sequences that minimise the number of floating-point operations (flops) for vertex elimination Jacobian code. We ...

Jacobian Code Generated by Source Transformation and Vertex Elimination can be as Efficient as Hand-Coding

Forth, Shaun A.; Tadjouddine, Mohamed; Pryce, John D.; Reid, John K. (ACM Association for Computing Machinery, 2004-09-01)

This article presents the first extended set of results from ELIAD, a source- transformation implementation of the vertex-elimination Automatic Differentiation approach to calculating the Jacobians of functions defined ...

Partial validation of CFD blast simulation in a cityscape environment featuring structural failure

Burrows, Stephanie Jeanne; Forth, Shaun A.; Sheldon, Robert Philip (WIT Press, 2021-06-24)

We demonstrate the capabilities of computational fluid dynamics (CFD) and a pressure-impulse failure model to predict blast loading and structural damage in a geometrically complex cityscape. The simulated loading is ...

Performance Issues for Vertex Elimination Methods in Computing Jacobians using Automatic Differentiation.

Tadjouddine, Mohamed; Forth, Shaun A.; Pryce, John D.; Reid, John K. (Springer-Verlag, 2002)

In this paper, we present first results from EliAD, a new automatic differentiation tool. EliAD uses the Elimination approach for Automatic Differentation first advocated by Griewank and Reese (Automatic Differentiation ...

Preface: Advances in algorithmic differentiation

Christianson, Bruce; Forth, Shaun A.; Griewank, Andreas (Taylor and Francis, 2018-09-12)

Robust aircraft conceptual design using automatic differentiation in Matlab

Padulo, Mattia; Forth, Shaun A.; Guenov, Marin D. (2008-08-17)

The need for robust optimisation in aircraft conceptual design, for which the design parameters are assumed stochastic, is introduced. We highlight two approaches, first-order method of moments and Sigma-Point reduced ...

Simplifying multivariate second-order response surfaces by fitting constrained models using automatic differentiation.

Forth, Shaun A.; Ringrose, Trevor J. (Asa American Statistical Association, 2005-08-01)

Multivariate regression models for second-order polynomial response surfaces are proposed. The fitted surfaces for each response variable are constrained so that when expressed in their canonical forms they have features ...

Source Transformation for MATLAB Automatic Differentiation.

Kharche, Rahul V.; Forth, Shaun A. (Springer-Verlag, 2005-12)

We present MSAD, a source transformation implementation of forward mode automatic differentiation for MATLAB. MSAD specialises and inlines operations from the fmad and derivvec classes of the MAD package. The operator ...

A sparse matrix approach to reverse mode automatic differentiation in Matlab

Forth, Shaun A.; Sharma, N K (2010-04-12)

We review the extended Jacobian approach to automatic di erentiation of a user- supplied function and highlight the Schur complement form's forward and reverse variants. We detail a Matlab operator overloaded approach ...

Browsing by Author "Forth, Shaun A."

Browsing by Author "Forth, Shaun A."

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