Prospects and challenges of quantum finance
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 …
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 …
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; …
planning (scheduling, facility location and network design); to computer science databases; …
[HTML][HTML] Warm-starting quantum optimization
There is an increasing interest in quantum algorithms for problems of integer programming
and combinatorial optimization. Classical solvers for such problems employ relaxations …
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 …
and Metaheuristics covers fundamental, theoretical topics as well as advanced, practical …
Correlation clustering in general weighted graphs
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 …
Chawla, Correlation clustering, in: Proc. 43rd Annu. IEEE Symp. on Foundations of …
Modularity-maximizing graph communities via mathematical programming
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 …
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
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 …
information about objects' mutual similarities or dissimilarities is given in a signed network …
Correlation clustering with sherali-adams
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 …
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 …
result that he himself described as “the fundamental theorem in the metric theory of tensor …