EDBT 2026 Demo / reviewers in the wild / expert
T. H. Fischer
dblp:10/4907
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1990
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Bioinformatics and computational biology · 50% Computational science and engineering · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Bioinformatics and computational biology › systems biology › biochemical simulation
biochemical system simulation |
0.0 | 1 | 1990 | The development of a high-order Taylor expansion solution to the chemical rate equation for the simulation of complex biochemical systems · Comput. Appl. Biosci. 1990 |
Computational science and engineering
numerical analysis |
0.0 | 1 | 1990 | The development of a high-order Taylor expansion solution to the chemical rate equation for the simulation of complex biochemical systems · Comput. Appl. Biosci. 1990 |
Methods — techniques the papers use, named apart from their topics
tensor equation · 0.0runge-kutta methods · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1990 | The development of a high-order Taylor expansion solution to the chemical rate equation for the simulation of complex biochemical systemsabstractA numerical method for evaluating chemical rate equations is presented. This method was developed by expressing the system of coupled, first-degree, ordinary differential chemical rate equations as a single tensor equation. The tensorial rate equation is invariant in form for all reversible and irreversible reaction schemes that can be expressed as first- and second-order reaction steps, and can accommodate any number of reactive components. The tensor rate equation was manipulated to obtain a simple formula (in terms of rate constants and initial concentrations) for the power coefficients of the Taylor expansion of the chemical rate equation. The Taylor expansion formula was used to develop a FORTRAN algorithm for analysing the time development of chemical systems. A computational experiment was performed with a Michaelis-Menten scheme in which step size and expansion order (to the 100th term) were varied; the inclusion of high-order terms of the Taylor expansion was shown to reduce truncation and round-off errors associated with Runge-Kutta methods and lead to increased computational efficiency. T. H. Fischer, G. C. White II |
Comput. Appl. Biosci. | 1 |