Prospects and challenges of quantum finance

A Bouland, W van Dam, H Joorati, I Kerenidis… - arxiv preprint arxiv …, 2020 - arxiv.org
Quantum computers are expected to have substantial impact on the finance industry, as they
will be able to solve certain problems considerably faster than the best known classical …

[BOOK][B] Analysis of boolean functions

R O'Donnell - 2014 - books.google.com
Boolean functions are perhaps the most basic objects of study in theoretical computer
science. They also arise in other areas of mathematics, including combinatorics, statistical …

[BOOK][B] The design of approximation algorithms

DP Williamson, DB Shmoys - 2011 - books.google.com
Discrete optimization problems are everywhere, from traditional operations research
planning (scheduling, facility location and network design); to computer science databases; …

[HTML][HTML] Warm-starting quantum optimization

DJ Egger, J Mareček, S Woerner - Quantum, 2021 - quantum-journal.org
There is an increasing interest in quantum algorithms for problems of integer programming
and combinatorial optimization. Classical solvers for such problems employ relaxations …

[BOOK][B] Handbook of approximation algorithms and metaheuristics

TF Gonzalez - 2007 - taylorfrancis.com
Delineating the tremendous growth in this area, the Handbook of Approximation Algorithms
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …

Correlation clustering in general weighted graphs

ED Demaine, D Emanuel, A Fiat, N Immorlica - Theoretical Computer …, 2006 - Elsevier
We consider the following general correlation-clustering problem [N. Bansal, A. Blum, S.
Chawla, Correlation clustering, in: Proc. 43rd Annu. IEEE Symp. on Foundations of …

Modularity-maximizing graph communities via mathematical programming

G Agarwal, D Kempe - The European Physical Journal B, 2008 - Springer
In many networks, it is of great interest to identify communities, unusually densely knit
groups of individuals. Such communities often shed light on the function of the networks or …

A literature review on correlation clustering: cross-disciplinary taxonomy with bibliometric analysis

DF Wahid, E Hassini - Operations Research Forum, 2022 - Springer
The correlation clustering problem identifies clusters in a set of objects when the qualitative
information about objects' mutual similarities or dissimilarities is given in a signed network …

Correlation clustering with sherali-adams

V Cohen-Addad, E Lee… - 2022 IEEE 63rd Annual …, 2022 - ieeexplore.ieee.org
Given a complete graph G=(V, E) where each edge is labeled+ or−, the CORRELATION
CLUSTERING problem asks to partition V into clusters to minimize the number of+ edges …

Grothendieck's theorem, past and present

G Pisier - Bulletin of the American Mathematical Society, 2012 - ams.org
Probably the most famous of Grothendieck's contributions to Banach space theory is the
result that he himself described as “the fundamental theorem in the metric theory of tensor …