OReilly - Learning Data Structures and Algorithms
OReilly - Learning Data Structures and Algorithms
English | February 2015 | Audio: aac, 44100 Hz, stereo | Video: h264, yuv420p, 1280x720, 29.97 fps(r) | 2.11 GB
Genre: E-learning
English | February 2015 | Audio: aac, 44100 Hz, stereo | Video: h264, yuv420p, 1280x720, 29.97 fps(r) | 2.11 GB
Genre: E-learning
In this Learning Data Structures and Algorithms video training course, Rod Stephens will teach you how to analyze and implement common algorithms used in data processing. This course is designed for the absolute beginner, meaning no previous programming experience is required.You will start by learning about the complexity theory, then jump into learning about numerical algorithms, including randomizing arrays, prime factorization, and numerical integration. From there, Rod will teach you about linked lists, such as singly linked lists, sorted, and doubly linked lists. This video tutorial also covers arrays, stacks and queues, and sorting. You will also learn about searching, hash tables, recursion, and backtracking algorithms. Finally, you will cover trees, balanced trees, decision trees, and network algorithms.Once you have completed this video training course, you will be fully capable of analyzing and implementing algorithms, as well as be able to select the best algorithm for various situations. Working files are included, allowing you to follow along with the author throughout the lessons.
OReilly - Learning Data Structures and Algorithms
