astronomy

Peter Eades

Peter Eades is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Peter Eades rather than just read about it. In short: Peter D. Eades (born 8 January 1952) is an Australian computer scientist, an emeritus professor in the School of Information Technologies at the University of Sydney, known for his expertise in graph drawing.

Key takeaways

Peter Eades belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Peter Eades to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Peter Eades from memory before moving on to harder problems.

Reference excerpt

Peter D. Eades (born 8 January 1952) is an Australian computer scientist, an emeritus professor in the School of Information Technologies at the University of Sydney, known for his expertise in graph drawing. Eades received his bachelor's degree in mathematics from Australian National University in 1974, and his Ph.D. in mathematics from the same university in 1977 under the supervision of Jennifer Seberry. He then did postdoctoral studies at the University of Waterloo before taking an academic position at the University of Queensland, where he remained until 1991. He was a professor of computer science at the University of Newcastle from 1992 to 1999, and joined the University of Sydney faculty in 2000. As well as his faculty position at Sydney, Eades was also a distinguished researcher at NICTA. Eades is the co-author (with Giuseppe Di Battista, Roberto Tamassia, and Ioannis G. Tollis) of the book Graph drawing: Algorithms for the visualization of graphs, and of the associated survey "Algorithms for drawing graphs: an annotated bibliography". He has also written many highly cited research papers in graph drawing, on topics including spring algorithms, performance speed up with N-body methods, maintenance of the "mental map" in dynamically changing drawings, heuristics for reducing the number of edge crossings in layered graph drawings, and visual display of clustering information in graphs. He was the keynote speaker at the 12th IEEE Symposium on Information Visualization in 2006, was one of three invited speakers at the 19th International Symposium on Algorithms and Computation in 2008, and was one of two invited speakers at the 18th International Symposium on Graph Drawing in 2010. He has been the doctoral advisor of over 30 graduate students. A workshop in honor of Eades' 60th birthday was held in 2012, as part of the International Symposium on Graph Drawing.

References

External links Home page at the University of Sydney List of publications in DBLP

Illustrations

Worked examples

Example 1 — a first encounter with Peter Eades

Start with the simplest possible case. Write down what Peter Eades claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Peter Eades before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Peter Eades ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Peter Eades

In research: Peter Eades appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Peter Eades in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Peter Eades is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1952 births, Academic staff of the University of Newcastle (Australia), Academic staff of the University of Queensland, so understanding it makes those chapters shorter.
In everyday life: Look for Peter Eades outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Peter Eades in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Peter Eades means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Peter Eades out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Peter Eades in simple terms?

Why does Peter Eades matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Peter Eades?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Peter Eades.