Real-Number Complexity

This workshop will explore complexity-theoretic and probabilistic aspects of real number computations, with a focus on numerical equation solving, optimization, and the geometry of solution sets. Topics include condition numbers, random real algebraic systems, and the distribution of points on manifolds. We will also address new directions involving effective o-minimality and positive, hyperbolic and Lorentzian polynomials.

Our workshop naturally connects with Computational Algebraic Geometry, particularly around shared interests in solution structure and symbolic-numeric techniques. There is also strong overlap with Numerical Linear Algebra, especially regarding condition numbers, optimization, and the stability of algorithms. Joint sessions or panels could explore the interplay between algebraic structure, numerical behavior, and computational complexity, enriching discussions across disciplines.

Organizers

Purdue University

Georgia Tech

Speakers

Semi-plenary speakers

University of Leipzig

TU Dresden

Invited speakers

University of Leipzig

Universität Osnabrück

Technische Universität Berlin

Technische Universität Chemnitz

CUNEF Universidad

INRIA Saclay

University of Warwick

ENS Lyon

INRIA & Université Paris-Saclay

UT Austin

University of Warwick

Universidade Federal do Rio de Janeiro

ETH Zurich

University of North Carolina

TU Wien

UiT The Arctic University of Norway

Texas A&M University

Universität Leipzig

Thursday, 9.July

14:00-14:30

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14:30-15:00

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15:00-15:30

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15:30-16:00

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16:00-16:30 Coffee Break

16:30-17:00

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17:30-18:00

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18:00-18:30

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Thursday, 9.July

14:00-14:30

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14:30-15:00

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15:00-15:30

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15:30-16:00

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16:00-16:30 Coffee Break

16:30-17:00

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Friday, 10.July

14:00-14:30

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14:30-15:00

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16:00-16:30 Coffee Break

16:30-17:30 semi-plenary talk

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17:30-18:00

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Saturday, 11.July

14:00-15:00 semi-plenary talk

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15:00-15:30

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15:30-16:00

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16:00-16:30 Coffee Break

16:30-17:00

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17:30-18:00

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