petite size cocktail dresses Alex Evenings Petite Long Sleeveless Ombre Glitter Mesh Dress with Cowl Neckline and Cascade Detail Skirt WINE MULTI / 14P
SKU: 82761548715
petite size cocktail dresses

petite size cocktail dresses Alex Evenings Petite Long Sleeveless Ombre Glitter Mesh Dress with Cowl Neckline and Cascade Detail Skirt WINE MULTI / 14P

Sale price$18.28 Regular price$20.31
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Size: 4

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Description

petite size cocktail dresses Alex Evenings Petite Long Sleeveless Ombre Glitter Mesh Dress with Cowl Neckline and Cascade Detail Skirt WINE MULTI / 14PThis gown is a sophisticated, full length option for evening events and formal social gatherings. It helps the wearer achieve an elongated, graceful silhouette. The cowl neckline and cap sleeves offer a draped look with comfortable coverage across the shoulders. The fabric features an ombre effect, subtly transitioning from a dark shade at the top to a brighter red tone near the hem. This color gradient, combined with the all over shimmer, adds depth

This gown is a sophisticated, full-length option for evening events and formal social gatherings. It helps the wearer achieve an elongated, graceful silhouette. The cowl neckline and cap sleeves offer a draped look with comfortable coverage across the shoulders. The fabric features an ombre effect, subtly transitioning from a dark shade at the top to a brighter red tone near the hem. This color gradient, combined with the all-over shimmer, adds depth to the material. Strategic ruching across the bodice creates an hourglass shape and helps define the waist. The material includes a slight stretch, allowing for easy movement and comfortable wear throughout the event. This design is fully lined for a smooth fit and feel. It works well if you want waist definition combined with the flow of a floor-length skirt.

 

  • Silhouette & Fit: A-line
  • Neckline & Sleeves: Cowl neckline; Cap sleeves
  • Length: Floor-length
  • Fabric (Shell): Glitter knit mesh
  • Lining: Full lining
  • Structure: Ruching in bodice
  • Stretch: Slight stretch
  • Closure: Back zipper
  • Back: Straight cut across shoulders
  • Hem/Train: Straight hem; no train
  • Pockets: No
  • Embellishment: Ombre color effect; Glitter finish; Side ruffle detail
  • Colors: Wine Multi
  • Sizes: 6P, 8P, 12P, 14P, 16P
  • Model Notes: The model is 5'9" (175 cm) and wears a size 6P
  • Occasions: Formal wedding guest, black tie events, evening galas
  • Care: Hand wash or dry clean
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SKU: 82761548715

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Zay
Phoenix, 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
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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
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Cory P.
Grantham, US
★★★★★ 5
Dive into Algorithms is more like eating a Parfait than trying understand algorithms!
Format: Paperback
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Reviewed in the United States on August 3, 2021
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Frank Gonzalez
Birmingham, 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
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Ira Laefsky
Carnegie, 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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