Faculty

Institution

Unit

Venue

Michael L. Overton

Silver Professor of Computer Science and Mathematics

New York University

Affiliations

Arts & Science

Computer Science

Courant Institute of Mathematical Sciences

Computer Science

NYU Abu Dhabi

Division of Science

Michael L. Overton is currently serving as an Arts & Science Silver Professor of Computer Science and Mathematics at New York University.

Honors

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Experiences

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Education

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Michael L. Overton

New York University

Silver Professor of Computer Science and Mathematics

You can click a keyword to filter the displayed items

applied mathematics mathematical optimization numerical analysis mathematics computational optimization numerical algorithms approximation theory convex analysis matrix analysis numerical linear algebra mathematical programming spectral theory nondifferentiable optimization unconstrained optimization linear algebra numerical mathematics computer science matrix theory derivative-free optimization stability systems engineering scientific computing graph theory control optimization automatic control semidefinite programming continuous optimization functional analysis convex optimization stability analysis numerical stability numerical computation nonlinear analysis mathematical sciences control system technology variational analysis control design semi-definite optimization robust control mathematical analysis global optimization nonlinear dynamics mathematical control theory matrix methods numerical methods constrained optimization energy minimization nonlinear programming inverse eigenvalue problems nonconvex optimization stabilization technique perturbation methods quadratic programming robust optimization regularization (mathematics) pseudospectral abscissa pseudospectral radius primal-dual interior-point methods robust stability numerical radius quantum chemistry controllability orthogonal polynomials control engineering nonlinear control duality theory optimality conditions euclidean norms pseudospectral components spectral abscissa root optimization polynomial family symmetric definite pencils complementarity theory model-based control technique conic optimization

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Experimental Comparison of Methods for Computing the Numerical Radius. Results in Applied Mathematics (2024)

Tim MitchellMichael L. Overton

numerical radiusexperimental comparisonapplied mathematics

On the Subdifferentiability of Functions of a Matrix Spectrum I: Mathematical Foundations. Routledge eBooks (2024)

Michael OvertonJames V. Burke

approximation theorynumerical analysismathematical optimizationspectral analysismatrix theoryapplied mathematicstheoretical analysisfunctional analysisfunction spacesmathematical foundationsspectrum estimationmathematicslinear algebranumerical linear algebraspectral theorymatrix analysis

On the Choice of Sign Defining Householder Transformations. arXiv (Cornell University) (2023)

Overton, Michael L.Yu, Pinze

On Properties of Univariate Max Functions at Local Maximizers. Optimization Letters (2022)

Tim MitchellMichael L. Overton

local maximizersmathematical optimizationunivariate max functionsapplied mathematics

Behavior of Limited Memory Bfgs When Applied to Nonsmooth Functions and Their Nesterov Smoothings. Springer proceedings in mathematics & statistics (2021)

Azam AslMichael L. Overton

applied probabilitylimited memory bfgsnesterov smoothingsapplied mathematics

Finding the Strongest Stable Massless Column With a Follower Load and Relocatable Concentrated Masses. The Quarterly Journal of Mechanics and Applied Mathematics (2021)

Oleg N KirillovMichael L Overton

follower loadapplied mathematicscomputational mechanicsapplied physicssolid mechanicsmechanics of materialsrelocatable concentrated massesmechanicsmechanical engineering

Analysis of Limited-Memory Bfgs on a Class of Nonsmooth Convex Functions. IMA Journal of Numerical Analysis (2020)

Azam AslMichael L Overton

numerical analysisapplied mathematicsfunctional analysislimited-memory bfgsconvex analysis

First-Order Perturbation Theory for Eigenvalues and Eigenvectors. SIAM Review (2020)

Anne GreenbaumRen-Cang LiMichael L. Overton

first-order perturbation theorygraph theoryspectral theoryapplied mathematics

Gradient Sampling Methods for Nonsmooth Optimization. Springer eBooks (2020)

James V. BurkeFrank E. CurtisAdrian S. LewisMichael L. OvertonLucas E. A. Simões

approximation theorynumerical analysismathematical optimizationapplied mathematicsunconstrained optimizationgradient sampling methodsnondifferentiable optimizationcomputational optimizationmathematical programmingderivative-free optimizationconvex analysis

Partial Smoothness of the Numerical Radius at Matrices Whose Fields of Values Are Disks. SIAM Journal on Matrix Analysis and Applications (2020)

A. S. LewisM. L. Overton

convex analysisgeometric partial differential equationpartial smoothnessmatrix theoryapplied mathematicsgeometric analysisgeometrynumerical mathematicsdisk matricesnumerical radiusmathematicsnumerical linear algebraspectral theorymatrix analysis

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Michael L. Overton

Silver Professor of Computer Science and Mathematics

New York University

Affiliations

Arts & Science

Computer Science

Courant Institute of Mathematical Sciences

Computer Science

NYU Abu Dhabi

Division of Science

Michael L. Overton is currently serving as an Arts & Science Silver Professor of Computer Science and Mathematics at New York University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Michael L. Overton

New York University

Silver Professor of Computer Science and Mathematics

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

An Experimental Comparison of Methods for Computing the Numerical Radius. Results in Applied Mathematics (2024)

Tim MitchellMichael L. Overton

numerical radiusexperimental comparisonapplied mathematics

On the Subdifferentiability of Functions of a Matrix Spectrum I: Mathematical Foundations. Routledge eBooks (2024)

Michael OvertonJames V. Burke

On the Choice of Sign Defining Householder Transformations. arXiv (Cornell University) (2023)

Overton, Michael L.Yu, Pinze

On Properties of Univariate Max Functions at Local Maximizers. Optimization Letters (2022)

Tim MitchellMichael L. Overton

local maximizersmathematical optimizationunivariate max functionsapplied mathematics

Behavior of Limited Memory Bfgs When Applied to Nonsmooth Functions and Their Nesterov Smoothings. Springer proceedings in mathematics & statistics (2021)

Azam AslMichael L. Overton

applied probabilitylimited memory bfgsnesterov smoothingsapplied mathematics

Finding the Strongest Stable Massless Column With a Follower Load and Relocatable Concentrated Masses. The Quarterly Journal of Mechanics and Applied Mathematics (2021)

Oleg N KirillovMichael L Overton

follower loadapplied mathematicscomputational mechanicsapplied physicssolid mechanicsmechanics of materialsrelocatable concentrated massesmechanicsmechanical engineering

Analysis of Limited-Memory Bfgs on a Class of Nonsmooth Convex Functions. IMA Journal of Numerical Analysis (2020)

Azam AslMichael L Overton

numerical analysisapplied mathematicsfunctional analysislimited-memory bfgsconvex analysis

First-Order Perturbation Theory for Eigenvalues and Eigenvectors. SIAM Review (2020)

Anne GreenbaumRen-Cang LiMichael L. Overton

first-order perturbation theorygraph theoryspectral theoryapplied mathematics

Gradient Sampling Methods for Nonsmooth Optimization. Springer eBooks (2020)

James V. BurkeFrank E. CurtisAdrian S. LewisMichael L. OvertonLucas E. A. Simões

Partial Smoothness of the Numerical Radius at Matrices Whose Fields of Values Are Disks. SIAM Journal on Matrix Analysis and Applications (2020)

A. S. LewisM. L. Overton

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5
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computational mathematics

numerical robustness issues

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semi-definite optimization

design optimization

Ed Saff

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numerical mathematics

constructive approximation

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discrete algorithm

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