1- Introduction to Algorithms
We will discuss the following: Algorithms, Time Complexity & Space Complexity, Algorithm vs Pseudocode, Some Algorithm Types, Programming Languages, Python, Anaconda.
SlideshareLecturer
Home TeachingWelcome my students, I hope to enjoy learning our course.
The goal of this course is how to analysis and design of algorithms such as sorting algorithms, searching algorithms, graph algorithms, pattern algorithms and numerical algorithms.
We will discuss the following: Algorithms, Time Complexity & Space Complexity, Algorithm vs Pseudocode, Some Algorithm Types, Programming Languages, Python, Anaconda.
SlideshareWe will discuss the following: Analysis of Algorithms, Time complexity, Asymptotic Notations, Big O Notation, Growth Orders, Problems.
SlideshareWe will discuss the following: Maximum Pairwise Product, Fibonacci, Greatest Common Divisors, Naive algorithm is too slow. The Efficient algorithm is much better. Finding the correct algorithm requires knowing something interesting about the problem.
SlideshareWe will discuss the following: Sorting Algorithms, Bubble Sort, Selection Sort, Insertion Sort.
SlideshareWe will discuss the following: Sorting Algorithms, Counting Sort, Radix Sort, Merge Sort and Quick Sort.
SlideshareWe will discuss the following: Search Algorithms, Linear Search, Binary Search, Jump Search, and Interpolation Search.
SlideshareWe will discuss the following: Graph, Directed vs Undirected Graph, Acyclic vs Cyclic Graph, Backedge, Search vs Traversal, Breadth First Traversal, Depth First Traversal, Detect Cycle in a Directed Graph. .
SlideshareWe will discuss the following: Pattern searching, Naive Pattern Searching, Regular Expression.
SlideshareAny Problem send me e-mail to mloey@live.com
Benha University: http://bu.edu.eg/staff/mloey