greedy of pain - Definition. Was ist greedy of pain
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Was (wer) ist greedy of pain - definition

ALGORITHM THAT MAKES LOCALLY OPTIMAL CHOICES IN A SEQUENCE OF STEPS WITH THE GOAL OF REACHING A GLOBAL OPTIMUM
Greedy heuristic; Greedy search; Greedy method; Exchange algorithm; Greedy Algorithm; Greedy algorithms; Applications of greedy algorithms

Pain (philosophy)         
PHILOSOPHICAL CONCEPT ABOUT SUFFERING IN GENERAL OR MORE SPECIFICALLY ABOUT PHYSICAL PAIN
Meaning of pain
Philosophy of pain may be about suffering in general or more specifically about physical pain. The experience of pain is, due to its seeming universality, a very good portal through which to view various aspects of human life.
The Journal of Pain         
JOURNAL
Journal of Pain; APS Journal; Pain Forum; J. Pain; J Pain; The journal of pain : official journal of the American Pain Society; J Pain.; APS J.; APS J
The Journal of Pain is a monthly peer-reviewed medical journal published by Elsevier on behalf of the United States Association for the Study of Pain and covers research and reviews on pain, including anesthesiology and palliative care and related educational and policy issues. The editor-in-chief is Mark Jensen (University of Washington).
analgesia         
  • Image of visual pain
  • Young children can indicate their level of pain by pointing to the appropriate face on a children's [[pain scale]].
BRANCH OF MEDICINE EMPLOYING AN INTERDISCIPLINARY APPROACH FOR EASING THE SUFFERING AND IMPROVING THE QUALITY OF LIFE OF THOSE LIVING WITH CHRONIC PAIN
Analgesia; Pain control; Pain Management; Algology (medicine); Pain therapy; Pain medicine; Pain relief; Pain releif; Pain Medicine; Pain modulation; Algiatry
[?an(?)l'd?i:z??]
¦ noun Medicine relief of pain through administration of drugs or other methods.
Origin
C18: from Gk analgesia 'painlessness', from an- 'not' + algein 'feel pain'.

Wikipedia

Greedy algorithm

A greedy algorithm is any algorithm that follows the problem-solving heuristic of making the locally optimal choice at each stage. In many problems, a greedy strategy does not produce an optimal solution, but a greedy heuristic can yield locally optimal solutions that approximate a globally optimal solution in a reasonable amount of time.

For example, a greedy strategy for the travelling salesman problem (which is of high computational complexity) is the following heuristic: "At each step of the journey, visit the nearest unvisited city." This heuristic does not intend to find the best solution, but it terminates in a reasonable number of steps; finding an optimal solution to such a complex problem typically requires unreasonably many steps. In mathematical optimization, greedy algorithms optimally solve combinatorial problems having the properties of matroids and give constant-factor approximations to optimization problems with the submodular structure.