Algorithms 2: A Quickstudy Laminated Reference Guide
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he computer science area of algorithms, this 6 page laminated guide is part 2 of 2 guides that also serves as a reference for designing and analyzing algorithms. Guaranteed to boost grades in required algorithms courses this reference tool can continue to offer support well beyond a course. While all computing requires the use of algorithms, mastery of algorithms can lead to a career in the fastest growing field in computer science with one of the highest paid salaries. Widely published author and instructor Babak Ahmadi has masterfully covered a large amount of information in only 6 pages, streamlined with more facts per page than any publication. To get the full breadth of coverage please also purchase the Algorithms guide for a highly valuable and complete reference at an amazing price.
6 page laminated reference guide includes:
6 page laminated reference guide includes:
- Analysis & Optimization
- Asymptotic Notation (Big-O Notation)
- Asymptotic Notation Types
- Complexity Types (AKA Function Orders & Growth Rates)
- Complexity Classes (P & NP)
- Lower Bound Theory
- Cases vs. Bounds
- Analysis of Loops
- Recurrences
- Methods for Solving Recurrences
- Amortized Analysis
- Search & Sort
- Stability
- Comparison Sorting
- Non-Comparison Sorting
- Sort Algorithms
- Common Search Algorithms
- String Searching (AKA Pattern Matching)
- Process/Implementation Types
- Deterministic vs. Nondeterministic
- Linear Programming (LP)
- Dynamic Programming (DP)
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