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Tobias Nipkow

Tobias Nipkow 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 Tobias Nipkow rather than just read about it. In short: Tobias Nipkow (born 1958) is a German computer scientist. Career Nipkow received his Diplom (MSc) in computer science from the Department of Computer Science of the Technische Hochschule Darmstadt in 1982, and his Ph.D. from the University of Manchester in 1987.

Tobias Nipkow — main illustration
Tobias Nipkow — illustration

Key takeaways

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

Reference excerpt

Tobias Nipkow (born 1958) is a German computer scientist.

Career Nipkow received his Diplom (MSc) in computer science from the Department of Computer Science of the Technische Hochschule Darmstadt in 1982, and his Ph.D. from the University of Manchester in 1987. He worked at MIT from 1987, changed to Cambridge University in 1989, and to the Technical University of Munich in 1992, where he was appointed professor for programming theory. He is chair of the Logic and Verification group since 2011. He is known for his work in interactive and automatic theorem proving, in particular for the Isabelle proof assistant; he was the editor of the Journal of Automated Reasoning up to January 1, 2021. Moreover, he focuses on programming language semantics, type systems and functional programming. In 2021, he won the Herbrand Award "in recognition of his leadership in developing Isabelle and related tools, resulting in key contributions to the foundations, automation, and use of proof assistants in a wide range of applications, as well as his successful efforts in increasing the visibility of automated reasoning". In 2022, he was elected a member of the Academia Europaea.

Selected publications Martin, U. & Nipkow, T. (1986). "Unification in Boolean Rings". In Jörg H. Siekmann (ed.). Proc. 8th Conference on Automated Deduction. LNCS. Vol. 230. Springer. pp. 506–513. Tobias Nipkow (1987). Behavioural Implementation Concepts for Nondeterministic Data Types (Ph.D. thesis). Computer Science Dept. Report. Vol. UMCS-87-5-3. University of Manchester. Nipkow, T. (1989). "Combining Matching Algorithms: The Rectangular Case". In Nachum Dershowitz (ed.). Rewriting Techniques and Applications, 3rd Int. Conf., RTA-89. LNCS. Vol. 355. Springer. pp. 343–358. Tobias Nipkow (1990). "Unification in Primal Algebras, their Powers and their Varieties". Journal of the ACM. 37 (4): 742–776. doi:10.1145/96559.96569. S2CID 14940917. Nipkow, T. & Qian, Z. (1991). "Modular Higher-Order E-Unification". In Book, Ronald V. (ed.). Rewriting Techniques and Applications, 4th Int. Conf., RTA-91. LNCS. Vol. 488. Springer. pp. 200–214. Tobias Nipkow (1991). "Higher-Order Critical Pairs". Proc. 6th IEEE Symposium on Logic in Computer Science. pp. 342–349. Nipkow, T. (1995). "Higher-Order Rewrite Systems (invited lecture)". In Hsiang, Jieh (ed.). 6th Int. Conf. on Rewriting Techniques and Applications (RTA). LNCS. Vol. 914. Springer. p. 256. Franz Baader and Tobias Nipkow (1998). Term Rewriting and All That. Cambridge: Cambridge University Press. ISBN 978-0-521-45520-6. Nipkow, Tobias, ed. (1998). Rewriting Techniques and Applications, 9th Int. Conf., RTA-98. LNCS. Vol. 1379. Springer. Nipkow T. and Paulson L. and Wenzel M. (2002). Isabelle/HOL — A Proof Assistant for Higher-Order Logic. Springer. Gerwin Klein & Tobias Nipkow (2006). "A Machine-Checked Model for a Java-Like Language, Virtual Machine and Compiler". ACM Transactions on Programming Languages and Systems. 28 (4): 619–695. doi:10.1145/1146809.1146811.

References

External links Home page

Illustrations

Tobias Nipkow illustration

Worked examples

Example 1 — a first encounter with Tobias Nipkow

Start with the simplest possible case. Write down what Tobias Nipkow 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 Tobias Nipkow 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 Tobias Nipkow 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 Tobias Nipkow

In research
Tobias Nipkow 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 Tobias Nipkow 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
Tobias Nipkow is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1958 births, Academic staff of the Technical University of Munich, Computer scientist stubs, so understanding it makes those chapters shorter.
In everyday life
Look for Tobias Nipkow 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 Tobias Nipkow in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Tobias Nipkow 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 Tobias Nipkow out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Tobias Nipkow in simple terms?

Tobias Nipkow (born 1958) is a German computer scientist. Career Nipkow received his Diplom (MSc) in computer science from the Department of Computer Science of the Technische Hochschule Darmstadt in 1982, and his Ph.D. from the University of Manchester in 1987.

Why does Tobias Nipkow 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 Tobias Nipkow?

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 Tobias Nipkow.

Tags

  • 1958 births
  • Academic staff of the Technical University of Munich
  • Computer scientist stubs
  • German theoretical computer scientists
  • Living people
  • Members of Academia Europaea
  • Technische Universität Darmstadt alumni

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