2018 Montreux Ladies Open

The 2018 Montreux Ladies Open was a professional tennis tournament played on outdoor clay courts. It was the second edition of the tournament and was part of the 2018 ITF Women's Circuit. It took place in Montreux, Switzerland, on 3–9 September 2018.

2018 Montreux Ladies Open
Date3–9 September
Edition2nd
CategoryITF Women's Circuit
Prize money$60,000
SurfaceClay
LocationMontreux, Switzerland
Champions
Singles
Iga Świątek
Doubles
Andreea Mitu / Elena-Gabriela Ruse

Singles main draw entrants

Seeds
Country Player Rank1 Seed
 COL Mariana Duque Mariño 120 1
  SUI Conny Perrin 148 2
 ITA Martina Trevisan 175 3
 GER Tamara Korpatsch 180 4
 NED Bibiane Schoofs 181 5
 ITA Deborah Chiesa 189 6
 UKR Katarina Zavatska 203 7
 TUR Çağla Büyükakçay 206 8
  • 1 Rankings as of 27 August 2018.

Other entrants

The following players received a wildcard into the singles main draw:

The following players received entry from the qualifying draw:

Champions

Singles
Main article: 2018 Montreux Ladies Open – Singles

Doubles
Main article: 2018 Montreux Ladies Open – Doubles
gollark: To randomly interject very late, I don't agree with your reasoning here. As far as physicists can tell, while pretty complex and hard for humans to understand, relative to some other things the universe runs on simple rules - you can probably describe the way it works in maybe a book's worth of material assuming quite a lot of mathematical background. Which is less than you might need for, say, a particularly complex modern computer system. You know what else is quite complex? Gods. They are generally portrayed as acting fairly similarly to humans (humans like modelling other things as basically-humans and writing human-centric stories), and even apart from that are clearly meant to be intelligent agents of some kind. Both of those are complicated - the human genome is something like 6GB, a good deal of which probably codes for brain things. As for other intelligent things, despite having tons of data once trained, modern machine learning things are admittedly not very complex to *describe*, but nobody knows what an architecture for general intelligence would look like.
gollark: https://media.discordapp.net/attachments/348702212110680064/896356765267025940/FB_IMG_1633757163544.jpg
gollark: https://isotropic.org/papers/chicken.pdf
gollark: Frankly, go emit muon neutrinos.
gollark: If your study produces no result you just won't publish it, which leads to some bias.
This article is issued from Wikipedia. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.