Learning Algorithms Through Programming and Puzzle Solving.
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About This Book Programming Challenges Interactive Algorithmic Puzzles What Lies Ahead Meet the Authors Meet Our Online Co-Instructors Acknowledgments Algorithms and Complexity What Is an Algorithm? Pseudocode Problem Versus Problem Instance Correct Versus Incorrect Algorithms Fast Versus Slow Algorithms Big-O Notation Advantages and Disadvantages Five Common Rules Visualizing Common Rules Frequently Arising Running Times Algorithm Design Techniques Exhaustive Search Algorithms Branch-and-Bound Algorithms Greedy Algorithms Dynamic Programming Algorithms Recursive Algorithms Divide-and-Conquer Algorithms Randomized Algorithms Programming Challenges Sum of Two Digits Maximum Pairwise Product Naive Algorithm Fast Algorithm Testing and Debugging Can You Tell Me What Error Have I Made? Stress Testing Even Faster Algorithm A More Compact Algorithm Solving a Programming Challenge in Five Easy Steps Reading Problem Statement Designing an Algorithm Implementing an Algorithm Testing and Debugging Submitting to the Grading System Algorithmic Warm Up Programming Challenges Fibonacci Number Last Digit of Fibonacci Number Huge Fibonacci Number Last Digit of the Sum of Fibonacci Numbers Last Digit of the Partial Sum of Fibonacci Numbers Last Digit of the Sum of Squares of Fibonacci Numbers Greatest Common Divisor Least Common Multiple Summary of Algorithmic Ideas Greedy Algorithms The Main Idea Examples Proving Correctness of Greedy Algorithms Implementation Programming Challenges Money Change Maximum Value of the Loot Car Fueling Maximum Advertisement Revenue Collecting Signatures Maximum Number of Prizes Maximum Salary Divide-and-Conquer The Main Idea Guess a Number Searching Sorted Data Finding a White-Black Pair Finding a Peak Multiplying Integers The Master Theorem Programming Challenges Binary Search Binary Search with Duplicates Majority Element Speeding-up RandomizedQuickSort Number of Inversions Organizing a Lottery Closest Points Dynamic Programming The Main Idea Number of Paths Dynamic Programming Shortest Path in Directed Acyclic Graph Programming Challenges Money Change Again Primitive Calculator Edit Distance Longest Common Subsequence of Two Sequences Longest Common Subsequence of Three Sequences Maximum Amount of Gold Splitting the Pirate Loot Maximum Value of an Arithmetic Expression Designing Dynamic Programming Algorithms Best Programming Practices (Optional) Language Independent Code Format Code Structure Names and Comments Debugging Integers and Floating Point Numbers Strings Ranges C++ Specific Code Format Code Structure Types and Constants Classes Containers Integers and Floating Point Numbers Python Specific General Code Structure Functions Strings Classes Exceptions Appendix Compiler Flags Frequently Asked Questions
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