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Chapter 9 - U.I.U.C. Math
Chapter 9 - U.I.U.C. Math

Spectral properties of the hierarchical product of graphs
Spectral properties of the hierarchical product of graphs

... eigenvectors of the two underlying networks and a coupling parameter that tunes their interactions. Due to the central role of the Perron-Frobenius (PF) eigenvalue [20], i.e., the largest eigenvalue, of the adjacency matrix in several applications [21,22], we study in detail the behavior of the PF e ...
CHAPTER 2: Linear codes
CHAPTER 2: Linear codes

CHAPTER 2: Linear codes
CHAPTER 2: Linear codes

Solvable Groups
Solvable Groups

COURSE TITLE: Algebra II - Trigonometry (Honors)
COURSE TITLE: Algebra II - Trigonometry (Honors)

Implementing Sparse Matrices for Graph Algorithms
Implementing Sparse Matrices for Graph Algorithms

MATLab Tutorial #6
MATLab Tutorial #6

Algorithms for Factoring Square-Free Polynomials over
Algorithms for Factoring Square-Free Polynomials over

*7. Polynomials
*7. Polynomials

(somewhat) expanded version of the note in C. R. Acad. Sci. Paris
(somewhat) expanded version of the note in C. R. Acad. Sci. Paris

... as established in [Bi], where I (ν | νQ ) is known as the free Fisher information of ν with respect to νQ [Vo3], [B-S]. Careful approximation arguments to reach arbitrary probability measures ν (with density in L3 (R)) are described in [H-P-U1]. As in the classical case, the Hamilton-Jacobi approach ...
Ferran O ón Santacana
Ferran O ón Santacana

Boolean Functions Satisfying Higher Order Propagation Criteria
Boolean Functions Satisfying Higher Order Propagation Criteria

... every function f ∗ obtained from f by fixing one input bit should satisfy P C(n − 1). This can be restated with the symplectic matrices B and B ∗ that correspond to f and f ∗ respectively: every matrix B ∗ obtained from B by deleting one column and the corresponding row should have full rank n − 1. ...
File
File

Linear Algebra As an Introduction to Abstract Mathematics
Linear Algebra As an Introduction to Abstract Mathematics

We start with the following general result. Lemma 2.1 Let φ : X → Y
We start with the following general result. Lemma 2.1 Let φ : X → Y

Sufficient conditions for convergence of Loopy
Sufficient conditions for convergence of Loopy

Jointly Clustering Rows and Columns of Binary Matrices
Jointly Clustering Rows and Columns of Binary Matrices

Topic 1 - Renaissance
Topic 1 - Renaissance

SU3 RECOUPLING AND FRACTIONAL PARENTAGE
SU3 RECOUPLING AND FRACTIONAL PARENTAGE

... convenient set of operators which commute with the Casimir operators and the additive infinitesimal operators of the subgroups SU3 and SU2 has as yet been constructed to give a full specification of the states. However, a complete table of c.f.p, is not needed since the states of greatest interest i ...
Separation of Multilinear Circuit and Formula Size
Separation of Multilinear Circuit and Formula Size

Factorization of Polynomials over Finite Fields
Factorization of Polynomials over Finite Fields

THE ASYMPTOTIC DENSITY OF FINITE
THE ASYMPTOTIC DENSITY OF FINITE

Overview - GMU Computer Science
Overview - GMU Computer Science

Twisted SU(2) Group. An Example of a Non
Twisted SU(2) Group. An Example of a Non

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Cayley–Hamilton theorem

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