mathematics

Katya Scheinberg

Katya Scheinberg 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 Katya Scheinberg rather than just read about it. In short: Katya Scheinberg is a Russian-American applied mathematician known for her research in continuous optimization and particularly in derivative-free optimization. She is a professor in the School of Industrial and Systems Engineering at Georgia Institute of Technology.

Key takeaways

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

Reference excerpt

Katya Scheinberg is a Russian-American applied mathematician known for her research in continuous optimization and particularly in derivative-free optimization. She is a professor in the School of Industrial and Systems Engineering at Georgia Institute of Technology.

Education and career Scheinberg was born in Moscow. She completed a bachelor's and master's degree in computational mathematics and cybernetics at Moscow State University in 1992, and earned a Ph.D. in operations research at Columbia University in 1997. Her dissertation, Issues Related to Interior Point Methods for Linear and Semidefinite Programming, was supervised by Donald Goldfarb. Scheinberg worked for IBM Research at the Thomas J. Watson Research Center from 1997 until 2009. After working as a research scientist at Columbia University and as an adjunct faculty member at New York University, she joined the Lehigh faculty in 2010. Scheinberg became Wagner Professor at Lehigh in 2014. In 2019 she moved to Cornell University where she was a professor in the School of Operations Research and Information Engineering. In July 2024 she moved to Georgia Tech. Scheinberg has been editor-in-chief of the SIAM-MOS Book Series on Optimization since 2014, and was the editor of Optima, the newsletter of the Mathematical Programming Society, from 2011 to 2013.

Research Scheinberg works on the intersection of optimization and machine learning, in particular on kernel support vector machines. With Andrew R. Conn and Luís Nunes Vicente, Scheinberg authored the book Introduction to Derivative Free Optimization (SIAM Press, 2008).

Recognition In 2015, with Conn and Vicente, she won the Lagrange Prize in Continuous Optimization of the Mathematical Optimization Society and Society for Industrial and Applied Mathematics for their book. The Prize citation wrote that "A small sampling of the direct impact of their work is seen in aerospace engineering, urban transport systems, adaptive meshing for partial differential equations, and groundwater remediation." In 2019, Professor Scheinberg was awarded the Farkas Prize by the Optimization Society in the Institute for Operations Research and the Management Sciences (INFORMS). In 2022 she was named a Fellow of INFORMS, "for outstanding research contributions to continuous optimization, particularly derivative-free optimization and the interface of optimization and machine learning, as well as outstanding service and leadership".

Personal life Scheinberg is married to Oktay Günlük, also a professor in the School of Industrial and Systems Engineering at Georgia Tech.

References

External links Katya Scheinberg publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Katya Scheinberg

Start with the simplest possible case. Write down what Katya Scheinberg 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 Katya Scheinberg 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 Katya Scheinberg 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 Katya Scheinberg

In research: Katya Scheinberg 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 Katya Scheinberg 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: Katya Scheinberg is common in secondary-school and first-year university syllabi. It links to neighbouring topics 21st-century American mathematicians, Columbia School of Engineering and Applied Science alumni, Cornell University faculty, so understanding it makes those chapters shorter.
In everyday life: Look for Katya Scheinberg 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 Katya Scheinberg in 20 minutes

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

Frequently asked questions

What is Katya Scheinberg in simple terms?

Why does Katya Scheinberg 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 Katya Scheinberg?

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 Katya Scheinberg.