Spatial data consist of points, lines, rectangles, regions, surfaces, and volumes. The representation of such data is becoming increasingly important in applications in computer graphics, computer vision, database management systems, computer-aided design, solid modeling, robotics, geographic inform
Design and Analysis of Data Structures
โ Scribed by Niema Moshiri, Liz Izhikevich
- Publisher
- Independently published
- Year
- 2018
- Tongue
- English
- Leaves
- 335
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This is a print companion to the Massive Open Online Course (MOOC), Data Structures: An Active Learning Approach (https://www.edx.org/course/data-structures-an-active-learning-approach), which utilizes the Active Learning approach to instruction, meaning it has various activities embedded throughout to help stimulate your learning and improve your understanding of the materials we will cover. While this print companion contains all STOP and Think questions, which will help you reflect on the material, and all Exercise Breaks, which will test your knowledge and understanding of the concepts discussed, we recommend utilizing the MAIT for all Code Challenges, which will allow you to actually implement some of the algorithms we will cover.
โฆ Subjects
Computer Science;AI & Machine Learning;Bioinformatics;Computer Simulation;Cybernetics;Human-Computer Interaction;Information Theory;Robotics;Systems Analysis & Design;Computers & Technology;Algorithms;Data Structures;Genetic;Memory Management;Programming;Computers & Technology;Computer Science;Algorithms;Artificial Intelligence;Database Storage & Design;Graphics & Visualization;Networking;Object-Oriented Software Design;Operating Systems;Programming Languages;Software Design & Engineering;New, U
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