Age, Biography and Wiki

István Gyöngy was born on 1951 in Budapest, Hungary, is a mathematician. Discover István Gyöngy's Biography, Age, Height, Physical Stats, Dating/Affairs, Family and career updates. Learn How rich is He in this year and how He spends money? Also learn how He earned most of networth at the age of 72 years old?

Popular As N/A
Occupation N/A
Age 72 years old
Zodiac Sign
Born 1951
Birthday 1951
Birthplace Budapest, Hungary
Nationality Hungary

We recommend you to check the complete list of Famous People born on 1951. He is a member of famous mathematician with the age 72 years old group.

István Gyöngy Height, Weight & Measurements

At 72 years old, István Gyöngy height not available right now. We will update István Gyöngy's Height, weight, Body Measurements, Eye Color, Hair Color, Shoe & Dress size soon as possible.

Physical Status
Height Not Available
Weight Not Available
Body Measurements Not Available
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Dating & Relationship status

He is currently single. He is not dating anyone. We don't have much information about He's past relationship and any previous engaged. According to our Database, He has no children.

Family
Parents Not Available
Wife Not Available
Sibling Not Available
Children Not Available

István Gyöngy Net Worth

His net worth has been growing significantly in 2022-2023. So, how much is István Gyöngy worth at the age of 72 years old? István Gyöngy’s income source is mostly from being a successful mathematician. He is from Hungary. We have estimated István Gyöngy's net worth , money, salary, income, and assets.

Net Worth in 2023 $1 Million - $5 Million
Salary in 2023 Under Review
Net Worth in 2022 Pending
Salary in 2022 Under Review
House Not Available
Cars Not Available
Source of Income mathematician

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Timeline

1981

He obtained his Candidate degree at Moscow State University in 1981 under the supervision of Nicolai V. Krylov.

1951

István Gyöngy (born 1951) is a Hungarian mathematician working in the fields of stochastic differential equations, stochastic partial differential equations and their applications to nonlinear filtering and stochastic control. Recently, he has focused his attention on numerical analysis and especially accelerated numerical methods, making use of Richardson extrapolation .