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Victor Lovass-Nagy

dblp:49/953 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 1987
—ORCID · none

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

Human-computer interaction and ubiquitous computing · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 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.

Theoretical computer science
1 paper
Algorithms and data structures · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Algorithms and data structures › numerical linear algebra
generalized inverse
0.011973
Best Least Squares Solutions to Finite Difference Equations Using the Generalized Inverse and Tensor Product Methods · J. ACM 1973
Algorithms and data structures
numerical linear algebra
0.011973
Best Least Squares Solutions to Finite Difference Equations Using the Generalized Inverse and Tensor Product Methods · J. ACM 1973

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

moore-penrose generalized inverse · 0.0finite difference approximation · 0.0
YearPublicationVenuePosition
1987 Control of Kinematically Redundant Robots Using {1}-Inverses
abstract
Resolved motion rate control of kinematically redundant manipulators using the simplest of the generalized inverses, the {1}-inverse, is investigated. For the case of a planar articulated coordinate redundant robot with an arbitrary number of axes, closed-form equations for the joint rates are developed. The structure of these equations is such that the redundant joint velocities can be arbitrarily specified. Simple constraints are presented which ensure that closed trajectories in gripper configuration space generate closed trajectories in joint space. A strategy for controlling the redundant joint rates that is applicable to obstacle avoidance is examined and illustrated with examples.
Victor Lovass-Nagy, Robert J. Schilling
IEEE Trans. Syst. Man Cybern.1
1973 Best Least Squares Solutions to Finite Difference Equations Using the Generalized Inverse and Tensor Product Methods
abstract
A direct (noniterative) method for solving some singular systems of equations arising from finite difference approximations to partial differential equations is developed. The Moore-Penrose generalized inverse of some large tensor product matrices is expressed in terms of smaller matrices. Some techniques are given to improve computational efficiency.
John F. Dalphin, Victor Lovass-Nagy
J. ACM2