It takes the average reader 9 hours and 36 minutes to read Algorithms by M H Alsuwaiyel
Assuming a reading speed of 250 words per minute. Learn more
Problem solving is an essential part of every scientific discipline. It has two components: (1) problem identification and formulation, and (2) the solution to the formulated problem. One can solve a problem on its own using ad hoc techniques or by following techniques that have produced efficient solutions to similar problems. This requires the understanding of various algorithm design techniques, how and when to use them to formulate solutions, and the context appropriate for each of them. Algorithms: Design Techniques and Analysis advocates the study of algorithm design by presenting the most useful techniques and illustrating them with numerous examples — emphasizing on design techniques in problem solving rather than algorithms topics like searching and sorting. Algorithmic analysis in connection with example algorithms are explored in detail. Each technique or strategy is covered in its own chapter through numerous examples of problems and their algorithms. Readers will be equipped with problem solving tools needed in advanced courses or research in science and engineering. Contents:Basic Concepts and Introduction to Algorithms:Basic Concepts in Algorithmic AnalysisData StructuresHeaps and the Disjoint Sets Data StructuresTechniques Based on Recursion:InductionDivide and ConquerDynamic ProgrammingFirst-Cut Techniques:The Greedy ApproachGraph TraversalComplexity of Problems:NP-Complete ProblemsIntroduction to Computational ComplexityLower BoundsCoping with Hardness:BacktrackingRandomized AlgorithmsApproximation AlgorithmsIteractive Improvement for Domain-Specific Problems:Network FlowMatchingTechniques in Computational Geometry:Geometric SweepingVoronoi DiagramsAppendices:Mathematical PreliminariesIntroduction to Discrete Probability Readership: Senior undergraduates, graduate students and professionals in software development. Readers in advanced courses or research in science and engineering. Key Features:It covers many topics that are not in any other book on algorithmsIt covers a wide range of design techniques each in its own chapterKeywords:Algorithms;Algorithm Design;Algorithm Analysis
Algorithms by M H Alsuwaiyel is 572 pages long, and a total of 144,144 words.
This makes it 193% the length of the average book. It also has 176% more words than the average book.
The average oral reading speed is 183 words per minute. This means it takes 13 hours and 7 minutes to read Algorithms aloud.
Algorithms is suitable for students ages 12 and up.
Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.
When deciding what to show young students always use your best judgement and consult a professional.
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