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Leonid Khachiyan

Leonid Khachiyan 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 Leonid Khachiyan rather than just read about it. In short: Leonid Genrikhovich Khachiyan (; Russian: Леони́д Ге́нрихович Хачия́н; May 3, 1952 – April 29, 2005) was a Soviet and American mathematician and computer scientist. He was most famous for his ellipsoid algorithm (1979) for linear programming, which was the first such algorithm known to have a polynomial running time.

Leonid Khachiyan — main illustration
Leonid Khachiyan — illustration

Key takeaways

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

Reference excerpt

Leonid Genrikhovich Khachiyan (; Russian: Леони́д Ге́нрихович Хачия́н; May 3, 1952 – April 29, 2005) was a Soviet and American mathematician and computer scientist. He was most famous for his ellipsoid algorithm (1979) for linear programming, which was the first such algorithm known to have a polynomial running time. Even though this algorithm was shown to be impractical, it has inspired other randomized algorithms for convex programming and is considered a significant theoretical breakthrough.

Early life and education Khachiyan was born on May 3, 1952, in Leningrad to Armenian parents Genrikh Borisovich Khachiyan, a mathematician and professor of theoretical mechanics, and Zhanna Saakovna Khachiyan, a civil engineer. His grandparents were Artsakh Armenians. He had two brothers: Boris and Yevgeniy (Eugene). His family moved to Moscow in 1961, when he was nine. He received a master's degree from the Moscow Institute of Physics and Technology. In 1978 he earned his Ph.D. in computational mathematics/theoretical mathematics from the Computer Center of the Soviet Academy of Sciences and in 1984 a D.Sc. in computer science from the same institution.

Career Khachiyan began his career at the Soviet Academy of Sciences, working as a researcher at the academy's Computer Center in Moscow. He also worked as an adjunct professor at the Moscow Institute of Physics and Technology. In 1979 he stated: "I am a theoretical mathematician and I'm just working on a class of very difficult mathematical problems." Khachiyan immigrated to the United States in 1989. He first taught at Cornell University as a visiting professor. In 1990 he joined Rutgers University as a visiting professor. He became professor of computer science at Rutgers in 1992. By 2005, he held the position of Professor II at Rutgers, reserved for those faculty who have achieved scholarly eminence in their discipline.

Work on linear programming

Ellipsoid method Khachiyan is best known for his four-page February 1979 paper that indicated how an ellipsoid method for linear programming can be implemented in polynomial time. The paper was translated into several languages and spread around the world unusually quickly. Authors of a 1981 survey of his work noted that it "has caused great excitement and stimulated a flood of technical papers" and was covered by major newspapers. It was originally published without proofs, which were provided by Khachiyan in a later paper published in 1980 and by Peter Gács and Laszlo Lovász in 1981. It was Gács and Lovász who first brought attention to Khachiyan's paper at the International Symposium on Mathematical Programming in Montreal in August 1979. It was further popularized when Gina Kolata reported it in Science Magazine on November 2, 1979. Khachiyan's theory is considered a groundbreaking one that "helped advance the field of linear programming." Giorgio Ausiello noted that the method was not practical, "but it was a real breakthrough for the world of operations research and computer science, since it proved that the design of polynomial time algorithms for linear programming was possible and in fact opened the way to other, more practical, algorithms that were designed in the following years."

Personal life and death Khachiyan spoke Russian and English, but not Armenian. Bahman Kalantari noted that "For some, his English accent wasn’t always easy to understand." A 1979 New York Times profile of him described Khachiyan as "a relaxed, friendly young man in a sweater who speaks a little English, which he learned in high school." He was known as "Leo" and "Lenya" to his friends and colleagues. Václav Chvátal described him as "selfless, open, patient, sympathetic, understanding, considerate." Michael Todd, another colleague, described him as "cynical about politics," "very modest and kind to his friends," and "intolerant of condescension and pomposity." Khachiyan married Olga Pischikova Reynberg, of Russian-Jewish origin, in 1985. They had two daughters, Anna and Nina, who were teenagers at the time of his death. He became a naturalized U.S. citizen in 2000. He died of a heart attack in South Brunswick, New Jersey on April 29, 2005, at the age of 52.

Recognition In 1982 he was awarded the prestigious Fulkerson Prize by the Mathematical Programming Society and the American Mathematical Society for outstanding papers in the area of discrete mathematics, particularly his 1979 article "A polynomial algorithm in linear programming." Khachiyan was considered a "noted expert in computer science whose work helped computers process extremely complex problems." He was called one of the world's most famous computer scientists at the time of his death by Haym Hirsh, chair of the computer science department at Rutgers. "Computer scientists and mathematicians say his work helped revolutionize his field," noted his New York Times obituary. Bahman Kalantari, a friend and colleague at Rutgers, wrote: "Surely, Khachiyan shall always remain to be among the greatest and most legendary figures in the field of mathematical programming."

References Notes

Citations

External links DBLP: Leonid Khachiyan. In Memoriam: Leonid Khachiyan from the Computer Science Department, Rutgers University. SIAM news: Leonid Khachiyan, 1952–2005: An Appreciation. Discrete Applied Mathematics: Remembering Leo Khachiyan The Mathematics Genealogy Project: Leonid Khachiyan. New York Times : Obituary.

Worked examples

Example 1 — a first encounter with Leonid Khachiyan

Start with the simplest possible case. Write down what Leonid Khachiyan 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 Leonid Khachiyan 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 Leonid Khachiyan 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 Leonid Khachiyan

In research
Leonid Khachiyan 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 Leonid Khachiyan 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
Leonid Khachiyan is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1952 births, 2005 deaths, 20th-century American mathematicians, so understanding it makes those chapters shorter.
In everyday life
Look for Leonid Khachiyan 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 Leonid Khachiyan in 20 minutes

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

Frequently asked questions

What is Leonid Khachiyan in simple terms?

Leonid Genrikhovich Khachiyan (; Russian: Леони́д Ге́нрихович Хачия́н; May 3, 1952 – April 29, 2005) was a Soviet and American mathematician and computer scientist. He was most famous for his ellipsoid algorithm (1979) for linear programming, which was the first such algorithm known to have a polyn…

Why does Leonid Khachiyan 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 Leonid Khachiyan?

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 Leonid Khachiyan.

Tags

  • 1952 births
  • 2005 deaths
  • 20th-century American mathematicians
  • 21st-century American mathematicians
  • Academic staff of the Moscow Institute of Physics and Technology
  • American computer scientists
  • American people of Armenian descent
  • Cornell University faculty
  • Mathematicians from Moscow
  • Moscow Institute of Physics and Technology alumni
  • Naturalized citizens of the United States
  • Russian people of Armenian descent

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