Master the fundamental principles that govern modern computer science. This comprehensive guide provides a step-by-step approach to designing, analyzing, and implementing efficient algorithms. In it you will discover:
-Clear explanations of key algorithms and data structures.
-Practical techniques for optimizing runtime and memory usage.
-Practical examples and exercises to reinforce your understanding.
-A solid foundation for tackling complex programming tasks.
-Perfect for students, programmers, and computer scientists who want to improve their problem-solving skills and create powerful applications.
Détails
- Date de publication
- Aug 24, 2025
- Langue
- English
- ISBN
- 9781326193300
- Catégorie
- Informatique & internet
- Copyright
- Tous droits réservés - Licence de copyright standard
- Contributeurs
- Par (auteur): Lucien Sina
Caractéristiques
- Pages
- 130
- Type de reliure
- Livre à couverture souple Livre à couverture souple
- Couleur de l’intérieur
- Noir & Blanc
- Dimensions
- Lettre US (8,5 x 11 po / 216 x 279 mm)
Mots-clés
ProgrammingAlgorithms DesignAlgorithmic ThinkingalgorithmiccomputationalFreshman Computer Science CourseComplexityListsLinked ListsBinary TreesArraysQueuesRecursionBig O NotationTime ComplexitySpace ComplexitySorting AlgorithmsSearch AlgorithmsRegular ExpressionsStacksHeapsAlgorithm AnalysisAlgebrasGraph Algorithmstime complexityspace complexityasymptotic complexitycomputational complexity theoryefficiency of algorithmsruntime analysisworst case complexitybest case complexitycorrectness of algorithmsalgorithm design techniquesabstraction in programmingdoubly linked liststree traversalhierarchical data structureslinear data structuresbinary searchlinear searchrecursive algorithmsdivide and conquerobject oriented programming in JavaJava data structuresoptimization of algorithmsearly termination techniquesabstract data typesgeneral treesaverage case complexity