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Second, some symptom descriptions may lead to erroneous mappings if the mapping is not constructed or reviewed by an expert clinician.
Traditionally, this would only be possible if the mapping could be expressed analytically.
If the mapping has real-time requirements such that the mapping process is performed during task execution, fast greedy heuristics must be adopted.
We furthermore combine this approach with robust homing so that the robot can navigate back to its starting location even if the mapping system fails and does not produce a consistent map.
If the mapping is nonexpansive, then.
If the mapping T is quasi-ϕ-nonexpansive, we find from Corollary 3.3 the following.
if and only if the mapping (x mapstomax G x)) is a convex (concave, resp).
In particular, if, the mapping is called the normalized duality mapping and usually, we write.
If the mapping is a monotone operator, then we say that is monotone.
What happens if the mapping f is a strong pseudo-contraction instead of a contraction?
From Lemma 2.1, we know that if, the mapping is nonexpansive.
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