Algorithms 2

Covering the essential concepts of the computer science area of algorithms, this 6 page digital 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 digital reference guide includes: Analysis & OptimizationAsymptotic Notation (Big-O Notation) Asymptotic Notation TypesComplexity Types (AKA Function Orders & Growth Rates) Complexity Classes (P & NP)Lower Bound Theory Cases vs. BoundsAnalysis of LoopsRecurrencesMethods for Solving RecurrencesAmortized AnalysisSearch & Sort StabilityComparison SortingNon-Comparison SortingSort AlgorithmsCommon Search AlgorithmsString Searching (AKA Pattern Matching)Process/Implementation Types Deterministic vs. NondeterministicLinear Programming (LP)Dynamic Programming (DP)