Quick Dispatch & Fast Delivery

In A Holidaze by Christina Lauren

Name: Buy Introduction to Kolmogorov Complexity and Its Applications by Ming Li and Paul Vitányi
SKU: BW-0011256
Price: 65.67 USD
Availability: InStock

Original price was: $17.00.Current price is: $14.99.

Binding: Paperback
Language: English
ISBN: 9781982123949
Reader’s Age: Adults 18+
Ships Within: 5–10 Business Days
Author: Christina Lauren
Release Date: October 6, 2020
Genre: Fiction

Add to wishlist

Delivery Time

USPS Courier delivery (Delivery within USA)

USPS courier will deliver the books safely at your door Step

4-5 Days

Standard delivery (Delivery Outside US)

Our courier will deliver books safely at your door step.

8-10 Days

Free 7-Day returns

More details

Description

In A Holidaze Paperback by Christina Lauren – A Feel-Good Christmas Romance Novel

About the Book

In A Holidaze is a heartwarming and hilarious Christmas romance that follows Maelyn Jones through a magical time loop at her family’s favorite holiday cabin. It’s the perfect cozy read for anyone who loves festive stories with real heart and plenty of laughs.

About the Author

Christina Lauren is the pen name of writing duo Christina Hobbs and Lauren Billings. They are New York Times, USA Today, and internationally bestselling authors known for hit romance novels including The Unhoneymooners and Love and Other Words.

Who Is This Book For?

This book is perfect for readers who enjoy cozy holiday romance, feel-good rom-coms, and stories with family, humor, and second chances. It’s a great pick for fans of Christmas fiction and anyone looking for a warm, comforting read during the festive season.

Frequently Asked Questions (FAQs)

Is In A Holidaze a standalone book?
Yes, In A Holidaze is a complete standalone holiday romance novel. You do not need to read any other Christina Lauren books before starting this one.

Is In A Holidaze appropriate for teens?
This book is written for adult readers due to mature romantic content. It is best suited for readers aged 18 and above.

What genre is In A Holidaze?
In A Holidaze is a contemporary romantic comedy with a Christmas setting and a light time-loop storyline, perfect for fans of feel-good holiday fiction.

Additional information

Weight	300 g
Dimensions	12.4 × 2.4 × 19.6 cm

Short Summary

Maelyn Jones is stuck living with her parents, unhappy with her job, and heartbroken after a holiday mishap with the wrong brother. When she makes a simple wish to the universe during her final Christmas at her family's beloved Utah cabin, she suddenly finds herself reliving the same day again and again. As she navigates each new version of her holiday, Mae slowly uncovers what truly matters and who she is meant to be with. This story blends humor, warmth, and holiday magic into an unforgettable romance.

Customer Reviews

Home Before Dark By Riley Sager

$40.00

Mockingbird Summer By Lynda Rutledge

Fiction

$24.00

Skin of a Sinner by Avina St. Graves USA

-31%

Skin of a Sinner By Avina St. Graves

The Incredible Journey By Sheila Burnford

$17.00

The Lost Ticket By Freya Sampson

Fiction

$15.00

The Miss Marple Collection Books 1-5 By Agatha Christie USA

-2%

The Miss Marple Collection Books 1-5 By Agatha Christie

-19%

The Pucking Wrong Date By C.R. Jane

Fiction

Quick Dispatch & Fast Delivery

Introduction to Kolmogorov Complexity and Its Applications by Ming Li and Paul Vitányi

Original price was: $84.63.Current price is: $65.67.

Binding: Hardcover
Language: English
ISBN-13: 978-3030112974
Reader’s Age: Graduate Students & Professionals (18+)
Ships Within: 5–10 Business Days
Author: Ming Li and Paul Vitányi
Release Date: June 26, 2019
Genre: Science & Technology

Add to wishlist

Delivery Time

USPS Courier delivery (Delivery within USA)

USPS courier will deliver the books safely at your door Step

4-5 Days

Standard delivery (Delivery Outside US)

Our courier will deliver books safely at your door step.

8-10 Days

Free 7-Day returns

More details

Description

Master Algorithmic Information Theory with This Definitive Guide to Kolmogorov Complexity

About the Book

“Introduction to Kolmogorov Complexity and Its Applications” stands as the definitive resource for understanding how information can be measured, compressed, and analyzed mathematically. Written by leading experts Ming Li and Paul Vitányi, this hardcover edition explores the elegant theory that underpins everything from data compression algorithms to artificial intelligence. Whether you’re a graduate student building theoretical foundations or a researcher applying these concepts to real-world problems, this comprehensive guide bridges abstract mathematical principles with practical computational applications.

About the Author

Ming Li is a Distinguished Professor of Computer Science, while Paul Vitányi is a renowned researcher at the National Research Institute for Mathematics and Computer Science in the Netherlands. Together, they’ve contributed decades of expertise to algorithmic information theory, making them the foremost authorities on Kolmogorov complexity. Their collaborative work has influenced generations of computer scientists and mathematicians, establishing the standards for how we understand computational complexity today.

Who Is This Book For?

This book is essential for graduate students in computer science, mathematics, and related fields who need a solid foundation in algorithmic information theory. Researchers working in machine learning, data compression, bioinformatics, or cryptography will find invaluable insights that apply directly to their work. If you’re looking to understand the mathematical underpinnings of randomness, information measurement, and computational limits, this hardcover edition belongs on your shelf as a permanent reference guide.

Frequently Asked Questions (FAQs)

What is Kolmogorov complexity and why does it matter?
Kolmogorov complexity measures the shortest computer program needed to describe an object, giving us an objective way to quantify information content. It matters because this concept forms the theoretical foundation for data compression, machine learning algorithms, and our understanding of randomness in computer science.

Is this book suitable for self-study or classroom use?
Both. The hardcover edition works excellently as a graduate-level textbook with exercises and structured chapters, while its comprehensive coverage also makes it valuable for independent researchers and professionals seeking to deepen their understanding of algorithmic information theory.

What background knowledge do I need to read this book?
You should have a solid understanding of discrete mathematics, basic algorithms, and comfort with mathematical proofs. Familiarity with theoretical computer science concepts helps, though the authors build up from foundational principles throughout the text.

How does this book differ from other complexity theory textbooks?
This is the authoritative reference specifically focused on Kolmogorov complexity and its applications. While other texts may touch on the subject briefly, Li and Vitányi provide the most comprehensive, rigorous treatment available, covering both theoretical foundations and practical applications across multiple domains.

Can this book help with research in machine learning or data science?
Absolutely. Kolmogorov complexity principles directly inform modern machine learning techniques, especially in areas like minimum description length, model selection, and understanding generalization. The mathematical framework presented here provides deep insights into why certain algorithms work and how to design better ones.

Additional information

Weight	2035 g
Dimensions	18.42 × 5.08 × 26.04 cm

Short Summary

This comprehensive textbook walks you through the core principles of Kolmogorov complexity, from basic definitions to advanced applications. You'll learn how to measure information content objectively, understand the relationship between complexity and randomness, and apply these concepts to solve real computational problems. The authors present rigorous mathematical proofs alongside intuitive explanations, making even the most abstract concepts accessible without sacrificing depth or precision.