Displaying similar documents to “Automatic differentiation platform : design”

ALMA versus DDD

Daniela da Cruz, Pedro Rangel Henriques, Maria João Varanda Pereira (2008)

Computer Science and Information Systems

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FER/SubDomain : an integrated environment for finite element analysis using object-oriented approach

Zhi-Qiang Feng, Jean-Michel Cros (2002)

ESAIM: Mathematical Modelling and Numerical Analysis - Modélisation Mathématique et Analyse Numérique

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Development of user-friendly and flexible scientific programs is a key to their usage, extension and maintenance. This paper presents an OOP (Object-Oriented Programming) approach for design of finite element analysis programs. General organization of the developed software system, called FER/SubDomain, is given which includes the solver and the pre/post processors with a friendly GUI (Graphical User Interfaces). A case study with graphical representations illustrates some functionalities...

Efficient calculation of sensitivities for optimization problems

Andreas Kowarz, Andrea Walther (2007)

Discussiones Mathematicae, Differential Inclusions, Control and Optimization

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Sensitivity information is required by numerous applications such as, for example, optimization algorithms, parameter estimations or real time control. Sensitivities can be computed with working accuracy using the forward mode of automatic differentiation (AD). ADOL-C is an AD-tool for programs written in C or C++. Originally, when applying ADOL-C, tapes for values, operations and locations are written during the function evaluation to generate an internal function...

GammaPolarSlicer

Sérgio Areias, Daniela da Cruz, Pedro Rangel Henriques, Jorge Sousa Pinto (2011)

Computer Science and Information Systems

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Two-Language, Two-Paradigm Introductory Computing Curriculum Model and its Implementation

Zanev, Vladimir, Radenski, Atanas (2011)

Serdica Journal of Computing

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This paper analyzes difficulties with the introduction of object-oriented concepts in introductory computing education and then proposes a two-language, two-paradigm curriculum model that alleviates such difficulties. Our two-language, two-paradigm curriculum model begins with teaching imperative programming using Python programming language, continues with teaching object-oriented computing using Java, and concludes with teaching object-oriented data structures with Java.