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Jason Fotinatos

dblp:12/2899 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2003
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 2

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Program synthesis and code generation · 100%

Topics — the 1 heaviest of 1, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Program synthesis and code generation
knowledge-based program synthesis
0.012002
Knowledge-Based Synthesis of Numerical Programs for Simulation of Rigid-Body Systems in Physics-Based Animation · ASE 2002

Methods — techniques the papers use, named apart from their topics

symbolic specification · 0.0rewrite systems · 0.0
YearPublicationVenuePosition
2003 Automated Synthesis of Numerical Programs for Simulation of Rigid Mechanical Systems in Physics-Based Animation
Thomas Ellman, Ryan Deak, Jason Fotinatos
Autom. Softw. Eng.3
2002 Knowledge-Based Synthesis of Numerical Programs for Simulation of Rigid-Body Systems in Physics-Based Animation
abstract
Physics-based animation programs are important in a variety of contexts, including education, science and entertainment among others. Manual construction of such programs is expensive, time consuming and prone to error. We have developed a system for automatically synthesizing physics-based animation programs for a significant class of problems: constrained systems of rigid bodies, subject to driving and dissipative forces. Our system includes a graphical interface for specifying a physical scenario, including objects, geometry, dynamical variables and coordinate systems, along with a symbolic interface for specifying forces and constraints operating in the scenario. The entities defined in the graphical interface serve as the underlying vocabulary for specifications constructed in the symbolic interface. We use an algorithmically controlled rewrite system to construct a numerical simulation program that drives a real-time animation of the specified scenario. The algorithm operates by partitioning the constraints and dynamic variables into classes, assigning each class to be implemented in a different component of a general simulation program scheme. Our approach provides many of the benefits of formal deductive methods of program synthesis, while keeping the computational costs of program synthesis more in line with conventional program generator technology. We have successfully tested our system on numerous examples.
Thomas Ellman, Ryan Deak, Jason Fotinatos
ASE3