Norm Convergence and the Hydropolitical Complex
A new norm-relaxed SQP algorithm with global convergence
... new norm-relaxed sequential quadratic programming algorithm with global conver- gence for inequality constrained problem is presented in this paper, and the quadratic programming subproblem can be solved at each ...
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On the Convergence Rate of lp-Norm Multiple Kernel Learning
... logistic loss l(t, y) = ln(1 + exp( − yt )), and the exponential loss l(t,y) = exp( − yt ). The case of the hinge loss (see definition above) is more delicate, since it is not a strongly convex loss function. In general, ...
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Operator Norm Convergence of Spectral Clustering on Level Sets
... almost-sure convergence in operator norm of the empirical graph Laplacian on the estimated level ...compact convergence of the empirical operator, acting on the Banach space of continuous functions ...
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Improved convergence of Complex Langevin simulations
... matter. Complex Langevin methods have been successfully used for various models or approximations of ...the convergence by keeping the system closer to the SU(3) manifold and discuss preliminary tests and ...
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Basis convergence in the soybean futures complex
... Recently, several of the most actively traded contracts at the CBOT encountered problems. Starting in 2005, issues with price transparency and delivery systems began to emerge for CBOT agricultural futures contracts. The ...
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Weak convergence of the complex fractional Brownian motion
... Statistics and econometrics have made great progress in the last two decades. It became necessary to study the distributions or the asymptotic distributions of some complex statistics, so the weak ...
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Convergence, cycles and complex dynamics of financing investment
... 5 Convergence and Comparative Dynamics In this section, we attempt a comparative dynamic analysis to determine the sensitivity of the non-trivial steady state, E 7 with respect to some of the ...
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LR norm. In this paper we shall discuss the convergence of non–orthogonal wavelet expansions
... with convergence in L 2 R ... norm. In this paper we shall discuss the convergence of non–orthogonal wavelet expansions in the L p R norm, 1 p ...
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Kernel convergence and biholomorphic mappings in several complex variables
... kernel convergence of domains in C n which are biholomorphically equivalent to the unit ball ...the convergence on compact sets of biholomorphic mappings on B, which satisfy a growth theorem, and the kernel ...
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Multi-level convergence of complex traits and the evolution of bioluminescence
... Evolutionary convergence provides natural opportunities to investigate how, when, and why complex traits ...considering convergence on different levels of biological organization, or “multi-level ...
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Numerical convergence of the random vortex method for complex flows
... Vortex methods rely principally on a discretization of the continuous two-dimensional time dependent vorticity eld into a large number of vortex \blobs", whose position and strength determine the underlying velocity ...
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Sup-norm Posterior Convergence Rates for Regression Models with Application to Estimating the Location of Function Maximum.
... posterior convergence rates for f and its mixed partial derivatives, and show that they coin- cide with the minimax ...posterior convergence rates and credible sets to anisotropic f , such that f has dif- ...
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On the convergence of Schröder iteration functions for pth roots of complex numbers
... Key-words: basins of attraction, Bell polynomials, Faà di Bruno’s formula, iteration func- tion, order of convergence, pth root, residuals, Taylor expansions. 1 Introduction Throughout the paper, we will assume p ...
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Complex Networked Systems: Convergence Analysis, Dynamic Behaviour, and Security.
... We show how a solution based on the HK model is able to find a sub-optimal admissible solution. Even though the HK model is a centralised algorithm, we provide in this work a distributed implementation, based on a ...
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Keynesian Macrodynamics: Convergence, Roads to Instability and the Emergence of Complex Business Fluctuations
... the rate of employment, which furthermore now depends on the level of the rate of capacity utilization in addition to the growth rate of capacity utilization we have used so far as the sole determinant of rate of ...
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Weak convergence to isotropic complex \(S\alpha S\) random measure
... We will prove under certain conditions, when θ ∈ (, π) ∪ (π, π), that the law of X n θ converges weakly in C([, ], C ) to the law of isotropic complex SαS random mea- sure. The rest of the paper is organized ...
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Feasting Judicial Convergence: Reconciling Legal Perspectives through the Potlatch Complex
... potlatch complex has significant implications for the relationships between these peoples, the Court, and the ...potlatch complex should not be required to be ‘cognizable’ to the common law ...for ...
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Max-norm and Square-max Norm of Fuzzy Matrices
... convergence of powers of fuzzy matrix. Ragab et al. [33,34] presented some properties of the min-max composition of fuzzy matrices. Hashimoto [18,19] studied the canonical form of a transitive fuzzy matrix. ...
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Computation of the induced norm from L₂ to L∞ in SISO sampled-data systems: Discretization approach with convergence rate analysis
... induced norm from L 2 to L ∞ in single-input/ single-output (SISO) linear time-invariant (LTI) sampled-data ...induced norm from L 2 to L ∞ of SISO LTI sampled-data systems, but further apply the key idea ...
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Convergence, divergence and a complex interplay : Chile and the international and transnational anti-corruption campaign
... The contesting narrative provides a far more critical interpretation of Chile’s corruption situation and fundamentally questions the dominant success narrative (and, thus, the[r] ...
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