• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 123,667
Next 10 →

Table I. Test Matrices and Their Disciplines Discipline Matrices

in SuperLU DIST: A scalable distributed-memory sparse direct solver for unsymmetric linear systems
by Xiaoyes. Li, James W. Demmel 2003
Cited by 38

Table 2: Some formalisms used to specify structured dynamical systems according to the continuous or discrete nature of space, time, and state variables of the components. The heading Numerical Solutions refers to explicit numerical solutions of partial differential equations and systems of coupled ordinary differential equations.

in Computational Models for Integrative and Developmental Biology
by Jean-Louis Giavitto, Christophe Godin, Olivier Michel, Przemyslaw Prusinkiewicz 2002
Cited by 1

TABLE IV DIFFERENTIAL EQUATION

in A Unified Lower Bound Estimation Technique for High-Level Synthesis
by Seong Yong Ohm, Fadi J. Kurdahi, Nikil D. Dutt 1997
Cited by 6

Table 1- Methods for solving differential equations Method Message Description

in Co-Simulation of Embedded Electronic Systems
by Marcio Oyamada Flvio, Marcio Oyamada, Flávio Rech Wagner
"... In PAGE 3: ... In the more optimistic synchronization strategy we are currently developing, the objects encapsulating analog behavior may use a sufficient small time step as needed by the numerical integration, while synchronization with other objects will be made only when objects have to communicate events on interface signals. The analog objects have default methods, where the equations and parameters are included, as shown in Table1 . The Start method is responsible for the initialization of parameters, such as the integration step.... ..."

TABLE 3. Differential equation results

in Communication Driven InterconnectSynthesis
by unknown authors 1995

Table I. The differential equation is solved numerically by the Runge-Kutta method with sampling time of 0.02 sec.

in Hidden Representation after Reinforcement Learning of Hand Reaching Movement with Variable Link Length
by Katsunari Shibata, Koji Ito 1990
Cited by 1

Table 1 Example parameters of the HH equations

in Coincidence detection in the Hodgkin-Huxley equations
by Petr Marsalek

Table 3: Comparison of the system costs for Differential Equation Solver, RLS-laguerre Lattice Filter, and Elliptic filter, with different time constraints.

in Efficient assignment and scheduling for heterogeneous dsp systems
by Zili Shao, Qingfeng Zhuge, Edwin H. -m. Sha 2005
"... In PAGE 23: ...3. All experiments shown in Table 2 and Table3 are finished in less than one second and the longest running time is 0.11 seconds which occurs when Algorithm DFG Assign Repeat is experimented on Elliptic Filter with timing constraint 100 time units.... In PAGE 26: ...s 27.9% and that for Tree Assign is 30.1%. The experimental results for differential equation solver, RLS-laguerre lattice filter and elliptic filter, are shown in Table3 . In the table, each column cost under different fields presents the system costs ob- tained from different algorithms: the greedy algorithm (Field Greedy ), the ILP model (Field ILP ), DFG Assign Once (Field DFG Assign Once ), DFG Assign Repeat (Field DFG Assign Repeat ), and DFG Assign CP (Field DFG Assign CP ).... ..."
Cited by 2

Table 3: Comparison of the system costs for Differential Equation Solver, RLS-laguerre Lattice Filter, and Elliptic filter, with different time constraints.

in Efficient assignment and scheduling for heterogeneous dsp systems
by Zili Shao, Qingfeng Zhuge, Xue Chun, Edwin H. -m. Sha 2005
"... In PAGE 23: ...3. All experiments shown in Table 2 and Table3 are finished in less than one second and the longest running time is 0.11 seconds which occurs when Algorithm DFG Assign Repeat is experimented on Elliptic Filter with timing constraint 100 time units.... In PAGE 26: ...s 27.9% and that for Tree Assign is 30.1%. The experimental results for differential equation solver, RLS-laguerre lattice filter and elliptic filter, are shown in Table3 . In the table, each column cost under different fields presents the system costs ob- tained from different algorithms: the greedy algorithm (Field Greedy ), the ILP model (Field ILP ), DFG Assign Once (Field DFG Assign Once ), DFG Assign Repeat (Field DFG Assign Repeat ), and DFG Assign CP (Field DFG Assign CP ).... ..."
Cited by 2

TABLE 2 EXAMPLES OF SPECIFYING DIFFERENTIAL EQUATIONS

in unknown title
by unknown authors
Next 10 →
Results 1 - 10 of 123,667
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University