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{ "item_title" : "Algorithm Design Techniques", "item_author" : [" Narasimha Karumanchi "], "item_description" : "Algorithm Design Techniques: Recursion, Backtracking, Greedy, Divide and Conquer, and Dynamic Programming Algorithm Design Techniques is a detailed, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. What's Inside Enumeration of possible solutions for the problems. Performance trade-offs (time and space complexities) between the algorithms. Covers interview questions on data structures and algorithms. All the concepts are discussed in a lucid, easy to understand manner. Interview questions collected from the actual interviews of various software companies will help the students to be successful in their campus interviews. Python-based code samples were given the book.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/8/19/324/525/8193245253_b.jpg", "price_data" : { "retail_price" : "39.99", "online_price" : "39.99", "our_price" : "39.99", "club_price" : "39.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Algorithm Design Techniques|Narasimha Karumanchi

Algorithm Design Techniques : Recursion, Backtracking, Greedy, Divide and Conquer, and Dynamic Programming

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Overview

Algorithm Design Techniques: Recursion, Backtracking, Greedy, Divide and Conquer, and Dynamic Programming Algorithm Design Techniques is a detailed, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer.

What's Inside

  • Enumeration of possible solutions for the problems.
  • Performance trade-offs (time and space complexities) between the algorithms.
  • Covers interview questions on data structures and algorithms.
  • All the concepts are discussed in a lucid, easy to understand manner.
  • Interview questions collected from the actual interviews of various software companies will help the students to be successful in their campus interviews.
  • Python-based code samples were given the book.

This item is Non-Returnable

Details

  • ISBN-13: 9788193245255
  • ISBN-10: 8193245253
  • Publisher: Careermonk Publications
  • Publish Date: January 2018
  • Dimensions: 10 x 7.01 x 0.99 inches
  • Shipping Weight: 1.85 pounds
  • Page Count: 490

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