convex combination
A third order Runge-Kutta method based on a convex combination of Lehmer means
... Abstract. In this paper we introduce a modification of the third order Runge-Kutta method based on a convex combination of Lehmer means. The error of this method is also presented. The stability of this ...
10
Speech Enhancement by Modified Convex Combination of Fractional Adaptive Filtering
... various convex combinational structures (i.e., Convex Combination (CC), Fractional Convex Combination (FCC), Normalized Convex Combination (NCC), and Fractional Normalized ...
11
An application of extreme value theory in automobile insurance: a new approach to the convex combination of two variables thresholds minimizing the variance of this combination
... the convex combination of two thresholds method that minimizes the variance, two thresholds obtained from the extreme value ...a convex combination of two thresholds and the variance of a ...
5
The Optimal Convex Combination Bounds for Seiffert's Mean
... Wang, “The optimal upper and lower power mean bounds for a convex combination of the arithmetic and logarithmic means,” Abstract and Applied Analysis, vol.. Long, “Best possible inequali[r] ...
9
Optimal convex combination bounds of geometric and Neuman means for Toader type mean
... optimal convex combination bounds of the geometric and Neuman means for the Toader-type mean, and give several new upper and lower bounds for the complete elliptic integral of the second ...
10
The Optimal Convex Combination Bounds of Arithmetic and Harmonic Means for the Seiffert's Mean
... Wang, “The optimal upper and lower power mean bounds for a convex combination of the arithmetic and logarithmic means,” Abstract and Applied Analysis, vol.. Long, “Best possible inequali[r] ...
7
Protein Protein Interaction Extraction Based on Convex Combination Kernel Function
... • Experiment 1 will test different kernel functions for the same characteristics in terms of PPI extraction performances are different. Experiment will get all the PPI extraction performance of the single kernel ...
5
Convergence theorems of convex combination methods for treating d accretive mappings in a Banach space and nonlinear equation
... of convex combination methods to approximate the common zeros of finitely many m-d-accretive ...uniformly convex Banach space by using the techniques of the Lyapunov functional and ...
15
Optimal bounds for Neuman Sándor mean in terms of the convex combination of the logarithmic and the second Seiffert means
... Optimal bounds for Neuman-Sándor mean in terms of the convex combination of the logarithmic and the second Seiffert means Jing-Jing Chen, Jian-Jun Lei and Bo-Yong Long* *.. Correspondenc[r] ...
11
Optimal bounds for Neuman Sándor mean in terms of the geometric convex combination of two Seiffert means
... Optimal bounds for Neuman-Sándor mean in terms of the geometric convex combination of two Seiffert means Hua-Ying Huang, Nan Wang and Bo-Yong Long* *.. Correspondence: [email protected][r] ...
11
Optimal lower and upper bounds for the geometric convex combination of the error function
... In , Aumann [] introduced a generalized notion of convexity, the so-called MN - convexity, when M and N are mean values. A function f : [, ∞ ) → [, ∞ ) is MN -convex if f (M(x, y)) ≤ N(f (x), f (y)) for x, ...
8
A new approach to the credibility formula
... This paper develops a simple and applicable credibility formula which is obtained by approximating the Bayes estimator by a convex combination of observation mean and mean of prior, say, approx- imate ...
14
Parallel LQP alternating direction method for solving variational inequality problems with separable structure
... In the present paper, inspired by the above cited works and by the recent works go- ing in this direction, we proposed a new LQP-based prediction-correction method. The predictor is obtained by using the idea of He [] ...
14
An anti corruption mechansim
... When tax collector accepts the lateral transaction with the agent, the optimal bribe corresponds to a weighted sum convex combination of the rent v obtained by the agent and the wag[r] ...
25
On a Subclass of Harmonic Convex Functions of Complex Order
... We introduce and study a subclass of harmonic convex functions of complex order. Coefficient bounds, extreme points, distortion bounds, convolution conditions, and convex combination are determined for ...
14
On Harmonic Functions Defined by Derivative Operator
... Coefficient conditions, such as distortion bounds, convolution con–– n, λ, α, are obditions, convex combination, extreme points, and neighborhood for the class MH tained.. This is an open [r] ...
10
An Optimal Double Inequality between Power Type Heron and Seiffert Means
... Wang, “The optimal convex combination bounds of arithmetic and harmonic means for the Seiffert’s mean,” Journal of Inequalities and Applications, vol.. Chu, “An optimal inequality for pow[r] ...
11
Multi objective multi item solid transportation problem with fuzzy inequality constraints
... transportation problem is converted to parameter solid transportation problem by an appropriate choice of flexible index, and then the crisp solid transportation problem is solved by the algorithm (Cao in Optimal Models ...
21
Optimal Guaranteed Cost Control for Exponential Stability of Nonlinear System with Mixed Time-Varying Delays via Feedback Control
... reciprocal convex combination technique, new delay-dependent sufficient conditions for the existence of guaranteed cost feedback control for the system are given in terms of linear matrix inequalities ...
6
Learning Translation Invariant Kernels for Classification
... optimal convex combination of multiple kernels and formulated it as a quadratically constrained quadratic programming (QCQP) ...equivalent convex formulation with a smooth objective ...
38