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Spatial Domain Convergence Analysis
2014Fourier domain analysis is feasible only for regularizers that are quadratic in nature. Hence we consider spatial domain convergence analysis in this chapter. We use the three-point and four-point properties for proving that the AM algorithm for blind deconvolution converges to the infimum of the cost function.
Subhasis Chaudhuri +2 more
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Running Time Analysis: Convergence-based Analysis
2019This chapter presents the convergence-based analysis approach for analyzing the running time complexity of evolutionary algorithms, which is derived from bridging two fundamental theoretical issues. The approach is applied to show the exponential lower bound of the expected running time for (1+1)-EA and randomized local search solving the constrained ...
Zhi-Hua Zhou, Yang Yu, Chao Qian
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New convergence analysis in adaptive control: Convergence analysis without the barbalat's lemma
KSME Journal, 1995Convergence of the state errore to zero in adaptive systems is shown using the existence and uniqueness of solution and the existence of a Lyapunov function in which the adaptation laws are constructed. Results in the paper are general in the sense that it is applicable to a broad class of adaptive systems of a linear/nonlinear, time-varying or ...
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Convergence analysis of canonical genetic algorithms
IEEE Transactions on Neural Networks, 1994This paper analyzes the convergence properties of the canonical genetic algorithm (CGA) with mutation, crossover and proportional reproduction applied to static optimization problems. It is proved by means of homogeneous finite Markov chain analysis that a CGA will never converge to the global optimum regardless of the initialization, crossover ...
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Convergence analysis for principal component flows.
2002zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yoshizawa, Shintaro +2 more
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ETHOLOGICAL ANALYSIS OF CONVERGENT ADAPTATION
Annals of the New York Academy of Sciences, 1973openaire +3 more sources