Classic Computer Science Problems In Java
Sold by Ergodemedia, an authorized reseller of Authentic New & Used Books with Free US Shipping.
30-day returns by mail · Refunded to original payment method | support@ergodemedia.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch via USPS / UPS
- Securely packed to ensure your book arrives in the described condition
- Tracking number sent via email once dispatched
- Taxes calculated at checkout. International shipping not available.
Returns & Refund
Returns accepted within 30 days of delivery. Returns are processed by mail. Refunds are issued to the original payment method within 5–7 business days of receiving the returned item.
Damaged, Defective or Misrepresented Item
Free return shipping by mail · Full refund to original payment method
Wrong Item Received
Free return shipping by mail · Full refund or replacement at your choice
Change of Mind
Return shipping at customer's expense · Book must be in the same condition as received · Refund to original payment method
Safety & Compliance
California Proposition 65 Warning
Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
www.P65Warnings.ca.govBook Condition & Care Notice
Used books are graded and described accurately — condition details are listed on each product page. Books may contain previous owner's handwriting, highlights, or stamps unless stated as new. Store books away from direct sunlight and moisture to preserve their condition.
New books are sealed or unread. Used books are inspected before dispatch.
Product Authenticity & Notice
All books sold by Ergodemedia are 100% authentic, sourced directly from publishers and trusted distributors. Book condition is accurately graded and described. Some books may contain previous owner's markings or inscriptions.
Ergodemedia — Authentic New & Used Books. Free US Shipping. Delivered to Your Door.
Description
Sharpen Your Coding Skills By Exploring Established Computer Science Problems! Classic Computer Science Problems In Java Challenges You With Time-Tested Scenarios And Algorithms.Summary Sharpen Your Coding Skills By Exploring Established Computer Science Problems! Classic Computer Science Problems In Java Challenges You With Time-Tested Scenarios And Algorithms. YouLl Work Through A Series Of Exercises Based In Computer Science Fundamentals That Are Designed To Improve Your Software Development Abilities, Improve Your Understanding Of Artificial Intelligence, And Even Prepare You To Ace An Interview. As You Work Through Examples In Search, Clustering, Graphs, And More, YouLl Remember Important Things YouVe Forgotten And Discover Classic Solutions To Your New Problems! Purchase Of The Print Book Includes A Free Ebook In Pdf, Kindle, And Epub Formats From Manning Publications. About The Technology Whatever Software Development Problem YouRe Facing, Odds Are Someone Has Already Uncovered A Solution. This Book Collects The Most Useful Solutions Devised, Guiding You Through A Variety Of Challenges And Tried-And-True Problem-Solving Techniques. The Principles And Algorithms Presented Here Are Guaranteed To Save You Countless Hours In Project After Project. About The Book Classic Computer Science Problems In Java Is A Master Class In Computer Programming Designed Around 55 Exercises That Have Been Used In Computer Science Classrooms For Years. YouLl Work Through Hands-On Examples As You Explore Core Algorithms, Constraint Problems, Ai Applications, And Much More. WhatS Inside Recursion, Memoization, And Bit Manipulation Search, Graph, And Genetic Algorithms Constraint-Satisfaction Problems K-Means Clustering, Neural Networks, And Adversarial Search About The Reader For Intermediate Java Programmers. About The Author David Kopec Is An Assistant Professor Of Computer Science And Innovation At Champlain College In Burlington, Vermont. Table Of Contents 1 Small Problems 2 Search Problems 3 Constraint-Satisfaction Problems 4 Graph Problems 5 Genetic Algorithms 6 K-Means Clustering 7 Fairly Simple Neural Networks 8 Adversarial Search 9 Miscellaneous Problems 10 Interview With Brian Goetz
Shop The Full Collection