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Algorithm Design Techniques
Algorithm Design Techniques
Knygos.lt klubas Knygos.lt nariams
51,37 €
-30%
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73,39 €
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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…

Algorithm Design Techniques (el. knyga) (skaityta knyga) | knygos.lt

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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.
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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.

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