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Description
Furhaven Memory Foam Dog Bed for Large Dogs w/ Removable Bolsters & Washable Cover, For Dogs Up to 95 lbs - Plush & Almond Print L Shaped Chaise - Gray Almonds, Jumbo/XLAbout This COMFORT AS PRIORITY: The stylish L shaped chaise design creates a cozy and inviting space that promotes comfort and security; designed with supportive bolsters for dogs to rest their heads on for optimum lounging comfort SLEEP SURFACE: Featuring a cuddly soft plush faux fur main sleep surface and thick fluffy bolsters wrapped in stylish almond print fabric; both are gentle on noses and paws for enhanced snuggling and burrowing comfort EASY
About This
- COMFORT AS PRIORITY: The stylish L shaped chaise design creates a cozy and inviting space that promotes comfort and security; designed with supportive bolsters for dogs to rest their heads on for optimum lounging comfort
- SLEEP SURFACE: Featuring a cuddly soft plush faux fur main sleep surface and thick fluffy bolsters wrapped in stylish almond print fabric; both are gentle on noses and paws for enhanced snuggling and burrowing comfort
- EASY ON JOINTS: The memory foam top contours to your pet's figure, cushioning pressure points and improving body alignment; fluff-filled bolsters support the neck, back, hips, and joints to help ease discomfort and promote restful sleep
- CUSTOMER ASSURANCE: Comes with a 90-Day Limited Coverage against material defects and may also qualify for our 60-Day Worry-Free Program; restrictions apply: purchases from unauthorized 3rd party resellers may not be covered by Furhaven
- PRODUCT DETAILS: Memory Foam Dog Bed, Gray Almonds; Jumbo - 40" x 32" x 8" (4" Base Foam Height; Sleep Surface: Approx. 35" x 27")
- CERTIPUR-US: Our foam is 100% manufactured in the USA and independently tested to meet CertiPUR-US standards for emissions, content, and durability; made WITHOUT formaldehyde, phthalates, mercury, lead, and ozone depleters
- IMPORTANT: Not suitable for pets with excessive teething or destructive chewing behavior
- EASY CARE: The dog bed cover is completely machine washable and is easily removed with a two zipper design that allows access to the foam base and bolsters; for more specific care instructions, please refer to the hang tag and/or seam label
Overview
- Brand : Furhaven
- Breed Recommendation : All Breed Sizes
- Special Feature : Removable Cover
- Material : Polyester
- Product Dimensions : 40"L x 32"W x 8"Th
Shipping Notes
- Free Standard Shipping on $100+ Orders to the USA.
- Except Preorder products are shipped in 48 hours.
- Delivery to the USA:
- Standard Shipping : 3-10 business days
- If time is of the essence, please consider selecting expedited delivery for faster service.
Exchange/Return Notes
- We offer a 30-day return/exchange service after receiving.
- Final sale items are not eligible for returns or exchanges.
- To process your return/exchange, please contact us at [email protected]
- Please click here for more details>>> Return & Exchange Policy
4.5 ★★★★★
Based on 13 reviews
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Product Reviews
★★★★★ 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
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on October 23, 2024
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on December 2, 2021
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on August 3, 2021
★★★★★ 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
★★★★★ 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.
WAS THIS REVIEW HELPFUL?YesReportShare
Reviewed in the United States on February 7, 2021
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