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Convergence problem information


In the analytic theory of continued fractions, the convergence problem is the determination of conditions on the partial numerators ai and partial denominators bi that are sufficient to guarantee the convergence of the continued fraction

This convergence problem for continued fractions is inherently more difficult than the corresponding convergence problem for infinite series.

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Convergence problem

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In the analytic theory of continued fractions, the convergence problem is the determination of conditions on the partial numerators ai and partial denominators...

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Rate of convergence

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(x_{n})} that converges to L {\displaystyle L} is said to have order of convergence q ≥ 1 {\displaystyle q\geq 1} and rate of convergence μ {\displaystyle...

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Radius of convergence

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center of the disk of convergence, cn is the n-th complex coefficient, and z is a complex variable. The radius of convergence r is a nonnegative real...

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Magnus expansion

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g., to the Dyson series solving the same problem). From a mathematical point of view, the convergence problem is the following: given a certain matrix...

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Maxwell bridge

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for the coils with low Q values, less than one, because of balance convergence problem. Its use is limited to the measurement of low Q values from 1 to...

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Convergence tests

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mathematics, convergence tests are methods of testing for the convergence, conditional convergence, absolute convergence, interval of convergence or divergence...

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Premature convergence

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algorithms (EA), the term of premature convergence means that a population for an optimization problem converged too early, resulting in being suboptimal...

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Instrumental convergence

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Instrumental convergence is the hypothetical tendency for most sufficiently intelligent, goal directed beings (human and non-human) to pursue similar...

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Regula falsi

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slow-convergence or no-convergence problem under some conditions. Sometimes, Newton's method and the secant method diverge instead of converging – and...

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Technological convergence

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[page needed] Convergence is defined by Blackman (1998) as a trend in the evolution of technology services and industry structures. Convergence is later defined...

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Generalized continued fraction

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also exists a notion of absolute convergence for continued fractions, which is based on the notion of absolute convergence of a series: a continued fraction...

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Numerical method

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tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is...

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Convergence of Fourier series

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for convergence to occur. Determination of convergence requires the comprehension of pointwise convergence, uniform convergence, absolute convergence, Lp...

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Particle swarm optimization

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the word convergence typically refers to two different definitions: Convergence of the sequence of solutions (aka, stability analysis, converging) in which...

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Realignment plan

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The realignment plan (Hebrew: תוכנית ההתכנסות) (originally dubbed the convergence plan) was a plan by Israel to unilaterally disengage from 90% of the...

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Genetic algorithm

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of solution accuracy and the convergence speed that genetic algorithms can obtain. Researchers have analyzed GA convergence analytically. Instead of using...

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Periodic continued fraction

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are arbitrary real or complex numbers, is treated in the article convergence problem. Since all the partial numerators in a regular continued fraction...

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Absolute convergence

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otherwise be undefined Conditional convergence – A property of infinite series Convergence of Fourier series – Mathematical problem in classical harmonic analysis...

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Collatz conjecture

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positive integers converge to 1? (more unsolved problems in mathematics) The Collatz conjecture is one of the most famous unsolved problems in mathematics...

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Solving quadratic equations with continued fractions

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the fraction converges, in most cases). But this solution does find useful applications in the further analysis of the convergence problem for continued...

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Mathematical optimization

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capable of guaranteeing convergence in finite time to the actual optimal solution of a nonconvex problem. Optimization problems are often expressed with...

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Knapsack problem

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The knapsack problem is the following problem in combinatorial optimization: Given a set of items, each with a weight and a value, determine which items...

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Convergent evolution

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Process-based convergence is when the convergence is due to similar forces of natural selection. Earlier methods for measuring convergence incorporate ratios...

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Problem solving

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media convergence and participatory culture. He criticizes contemporary education for failing to incorporate online trends of collective problem solving...

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