Faculty

Institution

Unit

Venue

Jack Lutz

Professor

Iowa State University

Affiliations

College of Liberal Arts and Sciences

Computer Science

Mathematics

Jack Lutz is currently serving as a College Of Liberal Arts And Sciences Professor at Iowa State University.

Honors

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Experiences

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Education

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Jack Lutz

Iowa State University

Professor

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computer science computational complexity theoretical computer science applied mathematics theory of computation computability theory computational complexity theory algorithmic information theory information theory information science machine learning mathematics systems engineering complexity classes computational science self-assembly mathematical logic natural computing hard problems scientific computing logic in computer science fractals computational intelligence automated reasoning measure theory algorithmic information finite-state dimension chemical reaction networks approximate reasoning sequence analysis complexity theory fractal analysis theoretical analysis dimensionality reduction system theory curve modeling computational model theory dna nanotechnology abstract complexity computational logic weak completeness mutual dimension self-similar fractals pseudorandom oracle characterization additional queries effective strong dimension computational optimization evolutionary computation databases geometric topology control optimization mathematical optimization decision science string-searching algorithm string theory string processing structured prediction predictive modeling applied logic runtime systems fault detection kolmogorov complexity hardness computer analysis question answering finite fields query expansion database theory query optimization individual strings tile assembly model individual sequences constructive dimension hard languages molecular programming biophysics molecular design quantum biology systems biology molecular informatics molecular computing computational chemistry molecular modelling

Notable Scholarly Works

Notable Federal Grants

Collaborators

The Point-To-Set Principle and the Dimensions of Hamel Bases. Computability (2024)

Jack H. LutzRenrui QiLiang Yu

point-to-set principlehamel basescomputational complexityapplied mathematicscomputability theory

Extending the Reach of the Point-To-Set Principle. Information and Computation (2023)

Jack H. LutzNeil LutzElvira Mayordomo

computer sciencepoint-to-set principleextended theoryinformation scienceinformation theory

Reasoning as If. Natural computing series (2023)

Jack H. LutzRobyn R. Lutz

artificial intelligencecomputer scienceintelligent systemsnatural computingdecision sciencereasoning systemreasoning about actionapproximate reasoningcomputational logicknowledge representation and reasoningprobabilistic reasoningcomputational intelligencelogical reasoningcognitive scienceautomated reasoningnatural language processingmachine learning

Dimension and the Structure of Complexity Classes. Theory of Computing Systems (2022)

Jack H. LutzNeil LutzElvira Mayordomo

complexity classescomputer sciencetheoretical computer sciencecomputational complexity

Finite-State Mutual Dimension. arXiv (Cornell University) (2022)

Adam CaseJack H. Lutz

finite-state mutual dimensionapplied mathematicsparticle physics

Algorithmic Fractal Dimensions in Geometric Measure Theory. Theory and applications of computability (2021)

Jack H. LutzElvira Mayordomo

computer sciencegeometric measure theorycomputational complexitycomputability theorytheoretical computer sciencetheory of computationapplied mathematicsalgorithmic fractal dimensions

Asymptotic Divergences and Strong Dichotomy. IEEE Transactions on Information Theory (2021)

Xiang HuangJack H. LutzElvira MayordomoDonald M. Stull

computer sciencecommunication theoryasymptotic divergencesstrong dichotomyinformation theory

A Weyl Criterion for Finite-State Dimension.. arXiv (Cornell University) (2021)

Jack H. LutzSatyadev NandakumarSubin Pulari

computer sciencegraph theoryfinite-state dimensionweyl criterionapplied mathematics

Computing Absolutely Normal Numbers in Nearly Linear Time. Information and Computation (2021)

Jack H. LutzElvira Mayordomo

information theorycomputer scienceinformation science

Population-Induced Phase Transitions and the Verification of Chemical Reaction Networks. Natural Computing (2021)

James I. LathropJack H. LutzRobyn R. LutzHugh D. PotterMatthew R. Riley

computer sciencepopulation-induced phase transitionschemical reaction networksnatural computing

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Jack Lutz

Professor

Iowa State University

Affiliations

College of Liberal Arts and Sciences

Computer Science

Mathematics

Jack Lutz is currently serving as a College Of Liberal Arts And Sciences Professor at Iowa State 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

Jack Lutz

Iowa State University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

The Point-To-Set Principle and the Dimensions of Hamel Bases. Computability (2024)

Jack H. LutzRenrui QiLiang Yu

point-to-set principlehamel basescomputational complexityapplied mathematicscomputability theory

Extending the Reach of the Point-To-Set Principle. Information and Computation (2023)

Jack H. LutzNeil LutzElvira Mayordomo

computer sciencepoint-to-set principleextended theoryinformation scienceinformation theory

Reasoning as If. Natural computing series (2023)

Jack H. LutzRobyn R. Lutz

Dimension and the Structure of Complexity Classes. Theory of Computing Systems (2022)

Jack H. LutzNeil LutzElvira Mayordomo

complexity classescomputer sciencetheoretical computer sciencecomputational complexity

Finite-State Mutual Dimension. arXiv (Cornell University) (2022)

Adam CaseJack H. Lutz

finite-state mutual dimensionapplied mathematicsparticle physics

Algorithmic Fractal Dimensions in Geometric Measure Theory. Theory and applications of computability (2021)

Jack H. LutzElvira Mayordomo

computer sciencegeometric measure theorycomputational complexitycomputability theorytheoretical computer sciencetheory of computationapplied mathematicsalgorithmic fractal dimensions

Asymptotic Divergences and Strong Dichotomy. IEEE Transactions on Information Theory (2021)

Xiang HuangJack H. LutzElvira MayordomoDonald M. Stull

computer sciencecommunication theoryasymptotic divergencesstrong dichotomyinformation theory

A Weyl Criterion for Finite-State Dimension.. arXiv (Cornell University) (2021)

Jack H. LutzSatyadev NandakumarSubin Pulari

computer sciencegraph theoryfinite-state dimensionweyl criterionapplied mathematics

Computing Absolutely Normal Numbers in Nearly Linear Time. Information and Computation (2021)

Jack H. LutzElvira Mayordomo

information theorycomputer scienceinformation science

Population-Induced Phase Transitions and the Verification of Chemical Reaction Networks. Natural Computing (2021)

James I. LathropJack H. LutzRobyn R. LutzHugh D. PotterMatthew R. Riley

computer sciencepopulation-induced phase transitionschemical reaction networksnatural computing

1
2
3
4
5
12
10 / page

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Similar Faculty Members

Kfoury

Institution

Boston University

logic programming

mathematical logic

Dusko Pavlovic

Institution

University of Hawaii at Manoa

discrete algorithm

data security

James Lathrop

Institution

Iowa State University

theoretical biology

computational biology

Ker-I Ko

Institution

Stony Brook University

computational complexity

computational complexity theory

David Doty

Institution

University of California, Davis

nanotechnology

dna computing

William Gasarch

Institution

University of Maryland, College Park

discrete algorithm

extremal graph theory

Ming-Yang Kao

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computer science

applied mathematics

John Case

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University of Delaware

computational complexity

recursion theorems

Mark Braverman

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Princeton University

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Mitsunori Ogihara

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University of Miami

music information retrieval

music theory