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Vladimir Levenshtein

Vladimir Levenshtein is a mathematics 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 Vladimir Levenshtein rather than just read about it. In short: Vladimir Iosifovich Levenshtein (Russian: Влади́мир Ио́сифович Левенште́йн, IPA: [vlɐˈdʲimʲɪr‿ɨˈosʲɪfəvʲɪtɕ lʲɪvʲɪnˈʂtɛjn] ; 20 May 1935 – 6 September 2017) was a Russian and Soviet scientist who did research in information theory, error-correcting codes, and combinatorial design. Among other contributions, he is known for the Levenshtein distance and a Levenshtein algorithm, which he developed in 1965.

Key takeaways

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

Reference excerpt

Vladimir Iosifovich Levenshtein (Russian: Влади́мир Ио́сифович Левенште́йн, IPA: [vlɐˈdʲimʲɪr‿ɨˈosʲɪfəvʲɪtɕ lʲɪvʲɪnˈʂtɛjn] ; 20 May 1935 – 6 September 2017) was a Russian and Soviet scientist who did research in information theory, error-correcting codes, and combinatorial design. Among other contributions, he is known for the Levenshtein distance and a Levenshtein algorithm, which he developed in 1965. He graduated from the Department of Mathematics and Mechanics of Moscow State University in 1958 and worked at the Keldysh Institute of Applied Mathematics in Moscow ever since. He was a fellow of the IEEE Information Theory Society. He received the IEEE Richard W. Hamming Medal in 2006, for "contributions to the theory of error-correcting codes and information theory, including the Levenshtein distance".

Life Levenshtein graduated from Moscow State University in 1958, where he studied in the faculty of Mechanics and Mathematics. He was a member of the student Komsomol organization and was in charge of university preparations for the 6th World Festival of Youth and Students. After graduation, he worked at the M.V Keldysh Institute of Applied Mathematics.

… excerpt ends here. Continue reading the full article.

Worked examples

Example 1 — a first encounter with Vladimir Levenshtein

Start with the simplest possible case. Write down what Vladimir Levenshtein claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, 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 Vladimir Levenshtein 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 Vladimir Levenshtein 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 Vladimir Levenshtein

In research
Vladimir Levenshtein appears in mathematics 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 Vladimir Levenshtein 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
Vladimir Levenshtein is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1935 births, 2017 deaths, Coding theorists, so understanding it makes those chapters shorter.
In everyday life
Look for Vladimir Levenshtein 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 Vladimir Levenshtein in 20 minutes

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

Frequently asked questions

What is Vladimir Levenshtein in simple terms?

Vladimir Iosifovich Levenshtein (Russian: Влади́мир Ио́сифович Левенште́йн, IPA: [vlɐˈdʲimʲɪr‿ɨˈosʲɪfəvʲɪtɕ lʲɪvʲɪnˈʂtɛjn] ; 20 May 1935 – 6 September 2017) was a Russian and Soviet scientist who did research in information theory, error-correcting codes, and combinatorial design. Among other contr…

Why does Vladimir Levenshtein matter?

Because it connects several mathematics 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 Vladimir Levenshtein?

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 Vladimir Levenshtein.

Tags

  • 1935 births
  • 2017 deaths
  • Coding theorists
  • Fellows of the IEEE
  • Information theorists
  • Jewish Russian scientists
  • Moscow State University alumni
  • Russian Jews
  • Russian information theorists
  • Russian mathematicians
  • Russian scientists
  • Soviet mathematicians

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