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Cleve Barry Moler (August 17, 1939 – May 20, 2026) was an American mathematician and computer programmer who specialized in numerical analysis. In the mid to late 1970s, he was one of the authors of LINPACK and EISPACK, Fortran libraries for numerical computing. He created MATLAB, a numerical computing package, to give his students at the University of…
The analysis highlights Works and Career as prominent areas in the source structure around Cleve Moler.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Cleve Moler shows recurring relationship patterns in the source. For example, Cleve Moler → Applied Mathematics, California, ComputingCleve Moler, Full, Google ScholarCleve Moler, Industrial, March, Mathematics, Mathematics Genealogy ProjectPublications, MathWorks, Moler's, MolerCleve’s Corner, Oral, PA Lengthy, Philadelphia, ResearchGate, Santa Barbara, Society, Thomas Haigh Another extracted example is Cleve Moler → Alan Cline, Charles F. Van Loan, Jack Dongarra. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
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TTTA extracted 33 structured relationships around Cleve Moler. Examples in this analysis include Cleve Moler → Born → Cleve Barry Moler (1939-08-17)August 17, 1939 Salt Lake City, Utah, U.S. and Cleve Moler → Died → May 20, 2026(2026-05-20) (aged 86) Saint Michaels, Maryland, U.S.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Cleve Moler | Born | Cleve Barry Moler (1939-08-17)August 17, 1939 Salt Lake City, Utah, U.S. | 1.00 | infobox |
| Cleve Moler | Died | May 20, 2026(2026-05-20) (aged 86) Saint Michaels, Maryland, U.S. | 1.00 | infobox |
| Cleve Moler | Doctoral advisor | George Forsythe | 1.00 | infobox |
| Cleve Moler | Doctoral students | Alan Cline | 1.00 | infobox |
| Cleve Moler | Doctoral students | Charles F. Van Loan | 1.00 | infobox |
| Cleve Moler | Doctoral students | Jack Dongarra | 1.00 | infobox |
| Cleve Moler | Education | California Institute of Technology (BS) | 1.00 | infobox |
| Cleve Moler | Education | Stanford University (PhD) | 1.00 | infobox |
| Cleve Moler | Fields | Mathematics, computer science | 1.00 | infobox |
| Cleve Moler | Known for | MATLAB | 1.00 | infobox |
| Cleve Moler | Thesis | Finite difference methods for the eigenvalues of Laplace's operator (1965) | 1.00 | infobox |
| Cleve Moler | Workplaces | University of Michigan | 1.00 | infobox |
| Cleve Moler | Workplaces | Stanford University | 1.00 | infobox |
| Cleve Moler | Workplaces | University of New Mexico | 1.00 | infobox |
The concept neighborhoods around Cleve Moler bring nearby vocabulary together. In this analysis, examples include August, Moler and Numerical. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Cleve Moler, one of the stronger structural bridges in this analysis connects Cleve Moler with Life and career. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Cleve Moler to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Works & Career, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Cleve Moler · EN edition · Analysis: TopicsToTalkAbout