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An adaptive step size equation created by a Lyapunov function guarantees convergence of algorithm.
This function guarantees unique memory access enabling faster overall computation time in this way.
The sigmoid activation function guarantees that the neuron output is bounded between 0 and 1.
So the function guarantees that ones a state-action 〈s,a〉 is included in the table, states of S can always be reached from s despite non-determinism.
Classification with monotonicity constraint is a fundamental task in social analysis, management and decision making, where a monotonic function guarantees that objects with better feature values are not assigned with worse decisions.
It turns out that the regularity of the associated operator monotone function guarantees the extendability of this metric to the complex projective space generated by the pure states (see [15]).
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The flat harmonic function guaranteed that models were penalized if the Euclidean distance between two atoms is either too small or too large.
The division of functions guarantees a high degree of efficiency, if every citizen does what he/she is naturally suited to do.
The use of Bernstein polynomials as shape functions, guarantees that this diagonal matrix is invertible and ensures strict positivity of the resulting diagonal matrix coefficients.
This paper brings structured Lyapunov functions guaranteeing cooperative state synchronization of identical agents.
Barrier Lyapunov functions guarantee that the closed-loop system's trajectory verifies the state constraints.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com