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[PDF] Top 20 The Sinkhorn-Knopp algorithm : convergence and applications

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The Sinkhorn-Knopp algorithm : convergence and applications

The Sinkhorn-Knopp algorithm : convergence and applications

... dataset according to a variety of measures. The first column is ordered according to PageRank (α = .85), the second according to the authorities as measured with the SK algorithm. In the third column we have ... See full document

19

Convergence of p series revisited with applications

Convergence of p series revisited with applications

... the convergence of p-series has been extensively studied in the liter- ature with di ff erent levels of sophistication (see, ...following applications: the estimation of the sum of a convergent p-series as ... See full document

8

A Note on Convergence of a Sequence and Its Applications to Geometry of Banach Spaces

A Note on Convergence of a Sequence and Its Applications to Geometry of Banach Spaces

... “On Convergence of a Sequence in Complete Metric Spaces and its Applications to Some Iterates of Quasi-Nonexpansive Mappings,” Journal of Mathematical Analysis and Applications, ... See full document

9

Some Convergence Theorems of a Sequence in Complete Metric Spaces and Its Applications

Some Convergence Theorems of a Sequence in Complete Metric Spaces and Its Applications

... The concept of weakly quasi-nonexpansive mappings with respect to a sequence is introduced. This concept generalizes the concept of quasi-nonexpansive mappings with respect to a sequence due to Ahmed and Zeyada 2002. ... See full document

10

Convergence analysis of a variable metric forward–backward splitting algorithm with applications

Convergence analysis of a variable metric forward–backward splitting algorithm with applications

... the convergence of the forward–backward splitting algorithm with variable step ...the convergence of this ...splitting algorithm for solving the minimization problem ...this algorithm ... See full document

27

The Conditions for the Convergence of Power Scaled Matrices and Applications

The Conditions for the Convergence of Power Scaled Matrices and Applications

... of convergence 1, f z ( ) converges for all z such that | |< 1 z , which in turn tells us that the radius of convergence of f z ( ) is no less than ... See full document

9

Strong Convergence of Two Iterative Algorithms for Nonexpansive Mappings in Hilbert Spaces

Strong Convergence of Two Iterative Algorithms for Nonexpansive Mappings in Hilbert Spaces

... Construction of fixed points of nonlinear mappings is an important and active research area. In particular, iterative algorithms for finding fixed points of nonexpansive mappings have received vast investigation cf. 1, 2 ... See full document

7

Strong Convergence of Modified Halpern Iterations in CAT(0) Spaces

Strong Convergence of Modified Halpern Iterations in CAT(0) Spaces

... Suzuki, “Strong convergence theorems for infinite families of nonexpansive mappings in general Banach spaces,” Fixed Point Theory and Applications , vol. Chen, “Strong convergence of an [r] ... See full document

11

A Weak Convergence Theorem for Total Asymptotically Pseudocontractive Mappings in Hilbert Spaces

A Weak Convergence Theorem for Total Asymptotically Pseudocontractive Mappings in Hilbert Spaces

... with applications for asymptotically pseudo-contractions in Hilbert spaces,” Nonlinear Analysis: Theory, Methods & Applications, ...and Applications, ... See full document

11

Convergence analysis of an iterative algorithm for monotone operators

Convergence analysis of an iterative algorithm for monotone operators

... iterative algorithm must be used to approximate such a ...captures applications in various disciplines such as image restoration and radiation therapy treatment planning is to find a point in the ... See full document

14

Building a Library at the Nexus of High Performance Computing and Big Data

Building a Library at the Nexus of High Performance Computing and Big Data

... • Converge Applications: Separate data and model to classify Applications and Benchmarks across Big Data and Big Simulations to give Convergence Diamonds with many facets – Indicated how[r] ... See full document

88

A new algorithm for variational inequality problems with alpha-inverse strongly monotone maps and common fixed points for a countable family of relatively weak nonexpansive maps, with applications

A new algorithm for variational inequality problems with alpha-inverse strongly monotone maps and common fixed points for a countable family of relatively weak nonexpansive maps, with applications

... projection algorithm which is a signif- icant improvement on algorithms (4), (5) and (6) and prove a strong convergence theorem for a common element for a variational inequality and a fixed point of a ... See full document

25

Rough \({I} {2}\) lacunary statistical convergence of double sequences

Rough \({I} {2}\) lacunary statistical convergence of double sequences

... ideal convergence of real sequences was introduced in ...-statistical convergence and I -lacunary statistical convergence by using ...tistical convergence of double sequences, which is a new ... See full document

16

Mathematical programming for the sum of two convex functions with applications to lasso problem, split feasibility problems, and image deblurring problem

Mathematical programming for the sum of two convex functions with applications to lasso problem, split feasibility problems, and image deblurring problem

... strong convergence theorems as regards this problem. As applications of our results, we give strong convergence theorems as regards the split feasibility problem with modified CQ method, strong ... See full document

23

Big Data HPC Convergence

Big Data HPC Convergence

... dividing applications into data plus model components and classifying each component (whether from Big Data or Big Simulations) in the same ...discuss convergence software built around HPC-ABDS (High ... See full document

66

Wijsman Rough Lacunary Statistical Convergence on I Cesaro Triple Sequences

Wijsman Rough Lacunary Statistical Convergence on I Cesaro Triple Sequences

... rough convergence was introduced by [8], who also introduced the concepts of rough limit points and roughness ...rough convergence occurs very naturally in numerical analysis and has interesting ... See full document

11

A symmetry preserving algorithm for matrix scaling

A symmetry preserving algorithm for matrix scaling

... of convergence of the SinkhornKnopp method under various ...Geometric convergence rate for positive [?] and nonnegative matrices with total support [?] have been ...geometric ... See full document

24

A Fast Fixed Point Continuation Algorithm with Application to Compressed Sensing

A Fast Fixed Point Continuation Algorithm with Application to Compressed Sensing

... (FPC) algorithm is a developed version of convex optimization algorithm, which is an important research method for reconstruction of Compressed Sensing ...(FFPC) algorithm is proposed to accelerate ... See full document

5

An intelligent approach for remote handling maintenance sequence planning in radiation environment

An intelligent approach for remote handling maintenance sequence planning in radiation environment

... variation probability takes 0.1; inertia weight ω of basic PSO algorithm takes 0.6; other parameters are the same as those of AMPSO. The repeat operation frequency is 20 to find the mean value of sufficiency ... See full document

10

Ranking Theory with Application to Popular Sports.

Ranking Theory with Application to Popular Sports.

... the convergence of matrix balancing via similarity trans- formations for irreducible matrices ...the convergence of matrix balancing that uses similarity transformations to real n × n matrices ... See full document

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