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Richard L. Peskin

dblp:03/2298 · DBLP profile ↗
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4ranked-venue papers
0as first author
0since 2021 · last 1992
—ORCID · none

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

Artificial intelligence and machine learning · 1Systems, architecture and hardware · 1Software engineering, systems software and programming languages · 1Theory of computation · 1

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
Programming languages and type systems · 100%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Programming languages and type systems › object-oriented programming
smalltalk
0.011989
Strategies for Scientific Prototyping in Smalltalk · OOPSLA 1989
Visualization and visual analytics › scientific visualization › scalar field visualization
contour display
0.011989
Strategies for Scientific Prototyping in Smalltalk · OOPSLA 1989
Visualization and visual analytics
scientific visualization
0.011989
Strategies for Scientific Prototyping in Smalltalk · OOPSLA 1989

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

model-view-controller · 0.0c primitives · 0.0
YearPublicationVenuePosition
1992 Automatically Identifying the Asymptotic Behavior of Nonlinear Singularly Perturbed Boundary Value Problems
Mark F. Russo, Richard L. Peskin
J. Autom. Reason.2
1992 A prototyping environment for differential equations
abstract
A system is presented to allow end users to solve nonlinear differential equations without need to write computer programs. The system treats n th order space (one dimensional), first order time systems with initial and/or two point boundary value specification. Users of the system need only enter the problem in direct mathematical notation, and output is automatically presented as a solution graph. The system allows the user to alter this equations, in-situ, that is to computationally steer his model. Thus the system is suited for model prototyping. Implementation is based on an object-oriented paradigm, well established and robust numerical procedures, and distributed computing to supported needed resources for numerically intensive tasks.
Toufic I. Boubez, Andy M. Froncioni, Richard L. Peskin
ACM Trans. Math. Softw.3
1990 Gaussian elimination with pivoting on hypercubes
Francisco F. Rivera, Ramón Doallo, Javier D. Bruguera, Emilio L. Zapata, Richard L. Peskin
Parallel Comput.5
1989 Strategies for Scientific Prototyping in Smalltalk
abstract
This paper describes the design of a scientific prototyping environment in Smalltalk and discusses implementation strategies to achieve high performance interactive modeling of computationally intensive physical problems. Classes for scientific visualization, including contour plotting and 3D surface representations which incorporate the model-view-controller paradigm are presented. Techniques for inclusion of user primitives written in C to support computationally intense methods are described in detail in their current implementation on advanced Smalltalk workstations (SUN4, Ardent Titan, Tektronix 4317).
Sandra S. Walther, Richard L. Peskin
OOPSLA2