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A novel contactless technique to measure water waves using a single photon avalanche diode detector array

Proceedings of the Royal Society. A, Mathematical, physical, and engineering sciences, 2021-03, Vol.477 (2247), p.20200457-20200457

2021

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Existence of strong solutions for Itô’s stochastic equations via approximations: revisited

Stochastic partial differential equations : analysis and computations, 2022-09, Vol.10 (3), p.693-719

2022

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On finite difference schemes for degenerate stochastic parabolic partial differential equations

Journal of mathematical sciences (New York, N.Y.), 2011-11, Vol.179 (1), p.100-126

Gyongy, I

2011

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Rate of convergence of space-time approximation for stochastic evolution equations

Potential analysis, 2009, Vol.30 (1), p.29-64

2009

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Mimicking the one-dimensional marginal distributions of processes having an ito differential

Probability theory and related fields, 1986-12, Vol.71 (4), p.501-516

GYONGY, I

1986

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White Noise Driven Parabolic SPDEs with Measurable Drift

Journal of functional analysis, 1994-03, Vol.120 (2), p.484-510

1994

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Existence and uniqueness results for semilinear stochastic partial differential equations

Stochastic processes and their applications, 1998-03, Vol.73 (2), p.271-299

Gyöngy, István

1998

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Existence of strong solutions for Itô's stochastic equations via approximations

Probability theory and related fields, 1996-06, Vol.105 (2), p.143-158

1996

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On quasi-linear stochastic partial differential equations

Probability theory and related fields, 1993-12, Vol.94 (4), p.413-425

1993

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On the approximation of stochastic differential equations

Stochastics, 1988-03, Vol.23 (3), p.331-352

Gyongy, I.

1988

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Frontiers in Stochastic Analysis-BSDEs, SPDEs and Their Applications: Edinburgh, July 2017 Selected, Revised and Extended Contributions

1, 2019

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On the Stochastic Burgers' Equation in the Real Line

The Annals of probability, 1999-04, Vol.27 (2), p.782-802

1999

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On the automatic tuning and adaptation of PID controllers

Control engineering practice, 2006-02, Vol.14 (2), p.149-163

2006

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Implicit scheme for quasi-linear parabolic partial differential equations perturbed by space-time white noise

Stochastic processes and their applications, 1995-07, Vol.58 (1), p.57-72

1995

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The approximation of stochastic partial differential equations and applications in nonlinear filtering

Computers & mathematics with applications (1987), 1990, Vol.19 (1), p.47-63

GYONGY, I

1990

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On the support of the solutions of stochastic differential equations

Theory of probability and its applications, 1995-01, Vol.39 (3), p.519-523

Gyongy, I

1995

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256×256, 100kfps, 61% Fill-factor time-resolved SPAD image sensor for microscopy applications

2016 IEEE International Electron Devices Meeting (IEDM), 2016, p.8.2.1-8.2.4

2016

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On the approximation of stochastic differential equation and on stroock-varadhan's support theorem

Computers & mathematics with applications (1987), 1990, Vol.19 (1), p.65-70

1990

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Frontiers in Stochastic Analysis–BSDEs, SPDEs and their Applications: Edinburgh, July 2017 Selected, Revised and Extended Contributions

2019

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Stochastic partial differential equations with unbounded coefficients and applications i

Stochastics and stochastics reports, 1990-09, Vol.32 (1-2), p.53-91

1990

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Solutions of stochastic partial differential equations as extremals of convex functionals

Acta mathematica Hungarica, 2005-09, Vol.109 (1-2), p.127-145

2005

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The stability of stochastic partial differential equations II

Stochastics and stochastics reports, 1989-07, Vol.27 (3), p.189-233

GYONGY, I

1989

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The stability of stochastic partial differential equations and applications i

Stochastics and stochastics reports, 1989-06, Vol.27 (2), p.129-150

GYONGY, I

1989

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On the approximation of stochastic partial differential equations II

Stochastics and stochastics reports, 1989-03, Vol.26 (3), p.129-164

GYONGY, I

1989

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Active versus passive PI(D) loop monitoring

IEE Seminar on Control Loop Assessment and Diagnosis, 2005, p.51-60

2005

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A novel contactless technique to measure water waves using a single photon avalanche diode detector array

Existence of strong solutions for Itô’s stochastic equations via approximations: revisited

On finite difference schemes for degenerate stochastic parabolic partial differential equations

Rate of convergence of space-time approximation for stochastic evolution equations

Mimicking the one-dimensional marginal distributions of processes having an ito differential

White Noise Driven Parabolic SPDEs with Measurable Drift

Existence and uniqueness results for semilinear stochastic partial differential equations

Existence of strong solutions for Itô's stochastic equations via approximations

On quasi-linear stochastic partial differential equations

On the approximation of stochastic differential equations

Frontiers in Stochastic Analysis-BSDEs, SPDEs and Their Applications: Edinburgh, July 2017 Selected, Revised and Extended Contributions

On the Stochastic Burgers' Equation in the Real Line

On the automatic tuning and adaptation of PID controllers

Implicit scheme for quasi-linear parabolic partial differential equations perturbed by space-time white noise

The approximation of stochastic partial differential equations and applications in nonlinear filtering

On the support of the solutions of stochastic differential equations

256×256, 100kfps, 61% Fill-factor time-resolved SPAD image sensor for microscopy applications

On the approximation of stochastic differential equation and on stroock-varadhan's support theorem

Frontiers in Stochastic Analysis–BSDEs, SPDEs and their Applications: Edinburgh, July 2017 Selected, Revised and Extended Contributions

Stochastic partial differential equations with unbounded coefficients and applications i

Solutions of stochastic partial differential equations as extremals of convex functionals

The stability of stochastic partial differential equations II

The stability of stochastic partial differential equations and applications i

On the approximation of stochastic partial differential equations II

Active versus passive PI(D) loop monitoring

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