SKU: 30313814629

Solgar Vitamins - Omega 3 Double Strength

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Description

Solgar Vitamins - Omega 3 Double StrengthDetails Solgar Vitamins Omega 3 Double Strength (120 softgels) Sterk geconcentreerde visolie Gezuiverd en niet gekweekte vis Afkomstig van niet bedreigde vissoorten Beschrijving Over Omega 3 Omega 3 bestaat uit Eicosapentaeenzuur (EPA) en Docosahexaeenzuur (DHA). Beide hebben verschillende voordelen voor onze gezondheid. Gunstige invloed op het hart Belangrijke bouwstenen voor de hersenen Ondersteunt de conditie van het oog Gebruik Als

Details Solgar Vitamins - Omega 3 Double Strength (120 softgels)

  • Sterk geconcentreerde visolie
  • Gezuiverd en niet gekweekte vis
  • Afkomstig van niet-bedreigde vissoorten
Beschrijving

Over Omega 3

Omega 3 bestaat uit Eicosapentaeenzuur (EPA) en Docosahexaeenzuur (DHA). Beide hebben verschillende voordelen voor onze gezondheid.

  • Gunstige invloed op het hart
  • Belangrijke bouwstenen voor de hersenen
  • Ondersteunt de conditie van het oog

Gebruik

Als voedingssupplement voor volwassenen één tot vier softgels dagelijks bij voorkeur bij een maaltijd innemen, tenzij anders geadviseerd. Aanbevolen dosering niet overschrijden.

Dit product bevat

Gist Nee
Gluten Nee
Melk of melkbestanden Nee
Sucrose Nee
Tarwe Nee
Vis of visproducten Ja
Conserveringsmiddelen Nee
Zout toegevoegd Nee
Geschikt voor vegetariërs Nee
Geschikt voor veganisten Nee

Supplement Facts

Ingrediënten per softgel

Visolie concentraat (koud water) 1200 mg
Bevat:
   EPA (eicosapentaeenzuur)* 360 mg
   DHA (docosahexaeenzuur)* 240 mg
Softgel capsule (runder gelatine, glycerine)
Anti-oxidant (natuurlijk vitamine E: gemengde tocoferolen)

* Omega-3 vetzuren als natuurlijke triglyceriden.
Dankzij een unieke verwerkingsmethode zijn de omega-3 vetzuren (EPA en DHA) in dit product beschikbaar in hun oorspronkelijke, natuurlijke vorm. Solgar Omega-3 Double Strength softgels bevatten olie afkomstig van koudwater seizoensvissen.

Waarschuwing

Een voedingssupplement kan een evenwichtige voeding en een gezonde leefstijl niet vervangen.

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SKU: 30313814629

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Zay
Lowell, US
★★★★★ 5
Upside down (Great)
Format: Hardcover
Was extremely relatable and a blessing I gifted this book and want it back lol but I will be ordering again
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Reviewed in the United States on October 23, 2024
R
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Rory Derrick
Carnegie, US
★★★★★ 5
Good book
Format: Paperback
Still working through it but I have no complaints. I have a shelf of no starch books and have not been disappointed by any. Some, of course, are better than others but this is a good book.
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Reviewed in the United States on December 2, 2021
C
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Cory P.
Port Orchard, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
Seriously though great writing and explanation along with great history lessons. Also highly recommend for anyone working in the data science field.
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Reviewed in the United States on August 3, 2021
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Frank Gonzalez
Fort Morgan, US
★★★★★ 3
Ok content, not great explanations (2.5 our of 5 stars)
Format: Paperback
I found the contents of this book to be simply ok: either too simple, or the more complicated algorithms and concepts would not be as carefully explained as they should have been. It is not a terrible book, but it feels as though the author did not go over many drafts/iterations of this work.
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Reviewed in the United States on April 7, 2024
I
Ira Laefsky
Charlottesville, US
★★★★★ 5
An Excellent Self-Discovery Approach to Learning Algorithms
Format: Paperback
I have an Ivy League Master's Degree in Computer Science although it was accomplished 35 years ago. Of course, I had to complete an ACM-type course in Algorithms and Data Structures on the undergraduate and graduate level and managed to by rote accomplish enough to satisfy these courses. But until seeing this great book I never had the feeling of gaining an understanding of the approach to learning and building algorithms and the extent to which it is an important component of all programs. By a journey of guided self-discovery the author shows, not only the necessity of algorithms and their canonical forms, but a path to understanding the construction of algorithms to accomplish common and not so common practical problems. These range from the simple to understand, e.g. implementing Russian Peasant Multiplication, to advanced and up to date topics like Machine Learning. The highest praise I can give this book is that as a journey of guided self-discovery it produces an understanding in the reader of the process of constructing and understanding these algorithms and their place in all programming.
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Reviewed in the United States on February 7, 2021

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