Katya Scheinberg

A Katya Scheinberg yaa Risi ne Amerik bãngd sẽn tʋmd ne matematiksã, n bãngd a vaeesg sẽn kẽed ne tʋʋm-noor sẽn nan yɩll n yɩ sõma n paase, la sẽn yɩɩd fãa sẽn kẽed ne tʋʋm-noor sẽn nan yɩll n yɩ sõma n paase. A yaa karen-saamb n be Zĩig ning b sẽn boond tɩ Géorgie Tẽn-tẽn-soab sullẽ wã, sẽn get tʋʋm la teed teedã laog yelle.

 Karengã la a tʋʋmã 
A roga Mosko. A paamame n paam a bachelor la a master degree ne computational mathematics la cybernetics Mosko State University yʋʋmd 1992, la a paam a Ph.D. ne operations research Columbia University yʋʋmd 1997. A sẽn gʋls a seb-kãnga, yaa a Donald Goldfarb n da get a tʋʋmdã yelle.

A Scheinberg ra tʋmda IBM Research wã a Thomas J. A Watson Research Center sẽn sɩng ne yʋʋmd 1997 n tãag yʋʋmd 2009. A sẽn da wa n tʋmd wa bãngd Columbia Inivɛrsite wã la a wa n yaa karen-saamb a to New York Inivɛrsite wã poore, a kẽnga Lehigh karen-saam-dãmb sullã pʋgẽ yʋʋmd 2010. A Scheinberg lebga Wagner karen-saamb Lehigh yʋʋmd 2014 wã. Yʋʋmd 2019 soabã pʋgẽ, a kẽnga Cornell inivɛrsite, n yɩ karen-saamb n zãms karẽng ning sẽn get tʋʋm vaeesg la bãngrã wɛɛngẽ wã. Yʋʋmd 2024 zĩ-likr kiuugã, a kẽnga Georgia Tech.

A Scheinberg yaa SIAM-MOS Book Series on Optimization seb-gʋlsd sẽn sɩng ne yʋʋmd 2014, la a yɩɩ Optima, Mathematical Programming Society seb-bilã seb-gʋlsd yʋʋmd 2011 n tãag yʋʋmd 2013.

 Bãngr-goama 
A Scheinberg tʋmda Optimisation la machine learning, sẽn yɩɩd fãa, a sẽn tʋmd ne kernel support vector machine wã.

Mam ne a Andrew R. A Conn ne a Luís Nunes Vicente, a Scheinberg gʋlsa sebr sẽn boond tɩ Introduction to Derivative Free Optimization (SIAM Press, 2008).

 B sẽn na n sak n deeg-a to-to 
Yʋʋmd 2015 soabã pʋgẽ, ne a Conn la a Vicente, a paama Lagrange kũun sẽn kẽed ne b sẽn boond tɩ Continuous Optimization wã b sẽn boond tɩ Mathematical Optimization Society la Society for Industrial and Applied Mathematics b sebrã yĩnga. Sebr ning b sẽn da gʋls n na n kõ kũunã ra yeelame tɩ "b sẽn maan tʋʋm-kãnga sẽn kẽed ne sɩl-koglg wɛɛngẽ, tẽn-bɛɛgẽ so-toak wɛɛngẽ, sẽn kẽed ne b sẽn tõe n dɩk n maan bũmb toor-toor sẽn na n sõng tɩ b tõog n welg b zu-loeesã, la b sẽn tõe n maan bũmb toor-toor sẽn na n sõng tɩ b tõog n welg b zu-loeesã". Yʋʋmd 2019 soabã pʋgẽ, a paama Farkas kũunã sẽn yit Optimization Society sẽn be Institute for Operations Research and the Management Sciences (INFORMS) nengẽ. Yʋʋmd 2022 soabã, b kõ-a-la naam t'a lebg INFORMS nin-biiga, "a sẽn sõng tɩ b bãng n paas tɩ b tõog n maan tʋʋm-teedo, sẽn yɩɩd fãa, sẽn kẽed ne tʋʋm-teedo sẽn pa naag ne tʋʋm-teedo, la sẽn kẽed ne tʋʋm-teedo la taoor-lʋɩtb tʋʋmde".

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