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Computing the permanent
Lecture 12 – the Permanent and the Determinant
Statistical Problems Involving Permutations with Restricted Positions
Computational Complexity: a Modern Approach
Some Facts on Permanents in Finite Characteristics
A Quadratic Lower Bound for the Permanent and Determinant Problem Over Any Characteristic \= 2
Computing the Partition Function of the Sherrington-Kirkpatrick Model Is Hard on Average, Arxiv Preprint Arxiv:1810.05907 (2018)
A Short History of Computational Complexity
Arxiv:2108.12879V1 [Cs.CC] 29 Aug 2021
The Complexity of Computing the Permanent
Holographic Algorithms∗
Notes on the Proof of the Van Der Waerden Permanent Conjecture
Approximating the Permanent with Fractional Belief Propagation
The Bethe Permanent of a Non-Negative Matrix
Mapping the Complexity of Counting Problems
An Exploration of the Permanent-Determinant Method
Permanents and Boson Sampling
A Tight Analysis of Bethe Approximation for Permanent
Lecture 9: Boson Sampling Contents
Top View
Exact Sampling from Perfect Matchings of Dense Nearly Regular Bipartite Graphs
Determinant Versus Permanent
On the Number of Different Permanents of Some Sparse (0,1)-Circulant Matrices
On the Complexity of Holant Problems
Computing the Permanent of (Some) Complex Matrices
Counting Lattice Vectors
SOME ALGEBRAIC IDENTITIES for the Α-PERMANENT 1. Introduction the Permanent of an N × N C-Valued Matrix M
An Efficient Tree Decomposition Method for Permanents and Mixed Discriminants
An Overview of Computational Complexity
Unification of the Nature's Complexities Via a Matrix Permanent—Critical Phenomena, Fractals, Quantum Computing, P-Complex
Counting Algorithms and Complexity. a Brief Overview of the Field
Computational Complexity Reductions Using Clifford Algebras
Clifford, P., & Clifford, R. (2018). the Classical Complexity of Boson
2012-395-416.Pdf
Pólya Permanent Problem
Clifford Algebras and Approximating the Permanent
TROPICAL BOUNDS for EIGENVALUES of MATRICES 3 Amoeba [GKZ94, PR04, EKL06]
New Hardness Results for the Permanent Using Linear Optics