Analysis of Boolean Functions for Algorithms and Complexity
"The researcher, Dr. Ryan O'Donnell, received his Ph.D. from the Mathematics Department of the Massachusetts Institute of Technology (MIT) and is now an Associate Professor in the Computer Science Department of Carnegie Mellon Uni...
ver más
¿Tienes un proyecto y buscas un partner? Gracias a nuestro motor inteligente podemos recomendarte los mejores socios y ponerte en contacto con ellos. Te lo explicamos en este video
Proyectos interesantes
MCC
Mapping the Complexity of Counting
2M€
Cerrado
EPRICOT
Efficient Proofs and Computation A Unified Algebraic Appro...
2M€
Cerrado
PARAMTIGHT
Parameterized complexity and the search for tight complexity...
1M€
Cerrado
SYSTEMATICGRAPH
Systematic mapping of the complexity landscape of hard algor...
2M€
Cerrado
CONJEXITY
Investigating the Conjectures of Fine-Grained Complexity
1M€
Cerrado
DISTRUCT
Structure Theory for Directed Graphs
2M€
Cerrado
Información proyecto TCSTURKEY
Líder del proyecto
BOGAZICI UNIVERSITESI
No se ha especificado una descripción o un objeto social para esta compañía.
TRL
4-5
Presupuesto del proyecto
116K€
Fecha límite de participación
Sin fecha límite de participación.
Descripción del proyecto
"The researcher, Dr. Ryan O'Donnell, received his Ph.D. from the Mathematics Department of the Massachusetts Institute of Technology (MIT) and is now an Associate Professor in the Computer Science Department of Carnegie Mellon University (CMU). Both departments are ranked #1 by the U.S. News & World Report. The host institution will be Boğaziçi University in Istanbul, Turkey.
Broadly speaking, Dr. O'Donnell's area of research expertise is Theoretical Computer Science (""TCS""), in the sense of Algorithms and Computational Complexity Theory. More precisely, Dr. O'Donnell's work takes an interdisciplinary approach, developing new tools and ideas in mathematics in order to understand the design, analysis, and limitations of basic computational algorithms. Dr. O'Donnell's mathematical research is primarily in the newly emerging area of Analysis of Boolean Functions (also known as Discrete Fourier Analysis), a subfield of of probability theory and real analysis. The overarching goal of the research proposed herein is to innovate new discrete-analytic tools for application in Theoretical Computer Science.
Key research objectives:
AAC: Prove the Aaronson-Ambainis Conjecture regarding influences of low-degree bounded polynomials. This conjecture has important consequences for Quantum Computation.
FEI: Prove the Fourier Entropy-Influence Conjecture of Friedgut and Kalai. This conjecture has important consequences for Computational Learning Theory.
SOS: Investigate the power and limitations of the Sum-of-Squares Method in combinatorial optimization. This is a very recently developed, extremely powerful optimization technique.
NPH: Prove new NP-hardness-of-approximation results for the most basic CSPs like Max-Cut and 2Sat. This is plausible in light of recently developed Boolean analysis techniques due to Dr. O'Donnell and S.O. Chan.
SSE: Explore the Small-Set Expansion Conjecture. The goal is to find new families of hard instances or to show that the SOS method succeeds."