1983 WTA German Open

The 1983 WTA German Open, also known by its sponsored name Fila German Open, was a women's tennis tournament played on outdoor clay courts at the Rot-Weiss Tennis Club in Berlin in Germany that was part of the 1983 Virginia Slims World Championship Series. The tournament was held from 16 May through 22 May 1983. First-seeded Chris Evert-Lloyd won the singles title and earned $27,500 first-prize money.[1][2]

1983 WTA German Open
Date16 – 22 May
Edition14th
Draw56S / 29D
Prize money$150,000
SurfaceClay / outdoor
LocationBerlin, West Germany
VenueRot-Weiss Tennis Club
Attendance27,100
Champions
Singles
Chris Evert-Lloyd
Doubles
Jo Durie / Anne Hobbs

Finals

Singles

Chris Evert-Lloyd defeated Kathleen Horvath 6–4, 7–6(7–1)

  • It was Evert-Lloyd's 3rd singles title of the year and the 123rd of her career.

Doubles

Jo Durie / Anne Hobbs defeated Claudia Kohde-Kilsch / Eva Pfaff 6–4, 7–6(7–2)

  • It was Durie's 2nd title of the year and the 3rd of her career. It was Hobbs' 2nd title of the year and the 3rd of her career.

Prize money

Event W F SF QF Round of 16 Round of 32 Round of 64
Singles [2] $27,500 $14,000 $7,150 $3,300 $1,600 $800 $400
gollark: "Find useful stuff" also sounds pleasantly easy, but it's *not*. Even a human reading a repository or paper may struggle to find "useful" bits; reasoning about the relevance of a new set of information or methods for a project is a difficult general intelligence task.
gollark: I mean, "list of AI" is probably easy enough, you could just... search github using some keywords, and maybe research papers.
gollark: Just because you can describe a task in a sentence or so doesn't mean you can give a description clear and detailed enough to think about programming it.
gollark: Early attempts at AI back in the last millennium tried to create AIs by giving them logical reasoning abilities and a large set of facts. This didn't really work; they did some things, hit the limits of the facts they had, and didn't do anything very interesting.
gollark: They don't even have *memory* - you just train the model a bunch, keep that around, feed it data, and then get the results; next time you want data out, you use the original model from the training phase.

References

  1. John Barrett, ed. (1984). World of Tennis 1984 : The Official Yearbook of the International Tennis Federation. London: Willow Books. pp. 181–182. ISBN 0002181223.
  2. John Dolan (2011). Women's Tennis 1968–84: the Ultimate Guide. Remous. pp. 472–473.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.