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astronomy

T. C. Hu

T. C. Hu 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 T. C. Hu rather than just read about it. In short: Te Chiang Hu (Chinese: 胡德强, 1930–2021) was a Chinese-American computer scientist and operations researcher known for his work in the design and analysis of algorithms. His contributions to network flow problems included the representation of all pairwise flows using the Gomory–Hu tree,[GH61] the formulation of the multi-commodity flow problem,[H63] and a textbook on flow problems.[HY69] He also published highly cite…

Key takeaways

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

Reference excerpt

Te Chiang Hu (Chinese: 胡德强, 1930–2021) was a Chinese-American computer scientist and operations researcher known for his work in the design and analysis of algorithms. His contributions to network flow problems included the representation of all pairwise flows using the Gomory–Hu tree,[GH61] the formulation of the multi-commodity flow problem,[H63] and a textbook on flow problems.[HY69] He also published highly cited algorithms for scheduling tree-structured tasks,[H61a] the widest path problem,[H61b] optimal binary search trees,[HT71] linear layouts of trees and graphs,[AH73] minimum routing cost spanning trees,[H74] and the matrix chain multiplication problem.[HS82]

Early life and education Hu's family came from Zhejiang province, China but Hu was born in Beijing in 1930 and lived under the Japanese occupation during the Second World War. Later, he moved to Taiwan in the late 1940s as part of the retreat of the Republic of China to Taiwan following the defeat of the Kuomintang in the Chinese Civil War. He studied engineering at National Taiwan University, graduating with a bachelor's degree in 1953. He moved to the United States for graduate study, first earning a master's degree in 1956 at the University of Illinois Urbana-Champaign, and then completing a Ph.D. in 1960 at Brown University. His doctoral dissertation, Optimum design for structures of perfectly-plastic materials, was supervised by Richard Thorpe Shield.

Career and later life After completing his doctorate, Hu worked for IBM Research from 1960 to 1966, also including consulting at the RAND Corporation. It was during this period that he did much of his early work on network flow, including the development of the Gomory–Hu tree with Ralph E. Gomory.[GH61] In 1966, he took a faculty position at the University of Wisconsin–Madison, and in 1968 was named full professor of computer science. He published his book on network flow in 1969.[HY69] In 1974 he moved to the University of California, San Diego, initially in the Applied Electro-Physics Department and later becoming a founding member of the Department of Computer Science and Engineering. The Mathematics Genealogy Project lists eight doctoral students of Hu there, including Frank Ruskey. He published another textbook on algorithms in 1982,[H82] and worked on the matrix chain multiplication problem with his student M. T. Shing (later added as a coauthor to his algorithms text) in the early 1980s.[HS82] He returned to the topic of his dissertation, the optimal design of surfaces, with a 1992 paper on finding minimal surfaces with nonzero thickness using network flow,[HKR92] and won a best-paper award for a 1995 paper on circuit partitioning.[L+95] He retired in 2007, but continued publishing research; one of his last publications was a book on linear programming with another of his students, Andrew Kahng.[HK16] He died in October 2021.

Recognition Hu was elected as a Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) in 2013. A special session of the 2018 International Symposium on Physical Design commemorated his contributions to the field.

Selected works

Research papers

Books

References

External links UCSD home page

Worked examples

Example 1 — a first encounter with T. C. Hu

Start with the simplest possible case. Write down what T. C. Hu 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 T. C. Hu 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 T. C. Hu 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 T. C. Hu

In research
T. C. Hu 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 T. C. Hu 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
T. C. Hu is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1930 births, 2021 deaths, American computer scientists, so understanding it makes those chapters shorter.
In everyday life
Look for T. C. Hu 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 T. C. Hu in 20 minutes

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

Frequently asked questions

What is T. C. Hu in simple terms?

Te Chiang Hu (Chinese: 胡德强, 1930–2021) was a Chinese-American computer scientist and operations researcher known for his work in the design and analysis of algorithms. His contributions to network flow problems included the representation of all pairwise flows using the Gomory–Hu tree,[GH61] the fo…

Why does T. C. Hu 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 T. C. Hu?

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 T. C. Hu.

Tags

  • 1930 births
  • 2021 deaths
  • American computer scientists
  • Brown University alumni
  • Chinese computer scientists
  • Chinese emigrants to the United States
  • Fellows of the Institute for Operations Research and the Management Sciences
  • IBM Research computer scientists
  • National Taiwan University alumni
  • Operations researchers
  • University of Illinois Urbana-Champaign alumni
  • University of Wisconsin–Madison faculty

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