Algorithms HQ vs Stepwising

A fun and didactic app to learn computer science algorithms! See how algorithms are working by watching an animation of their execution. Understand how data is manipulated as it is animated through an intuitive representation of its contents. Always know which line is executed in the pseudo-code, what are the values of the variables. Need to quickly refresh your memory? Just use the app as a quick reference on the main characteristics of each algorithm! Main features: - Execute a single instruction, or undo the previous one - Run, or rewind the algorithm until you decide to pause the execution - Adjust the speed of the animation - Best and worst case input data for sorting algorithms - Change the input data: size (up to 500), maximum value or data distribution (random, sorted, many duplicates, etc.) - For data structures, choose the next function to execute, or let a scenario choose for you, so you can see how the data structure evolves. - Landscape or portrait orientation This version contains the following algorithms: Linear Data Structures: - Linked Lists, including a view on memory - Queue - Stack Sorting algorithms: - Bubble Sort - Cocktail Sort - Gnome Sort - Insertion Sort - Quick Sort - Selection Sort More algorithms and more features are on the way!

Stepwising invites you to explore, play with, and learn about gravity. You can check out Kepler's laws of planetary motion, observe and discover solutions to the 3-body problem, or try to drive a frictionless car around a circular track of ice. The program closely approximates the motion of stars, planets, moons, and other celestial objects moving through space under the influence of their gravitational fields. It does this recursively: an object's position determines the amount of force on it, the amount of force on it determines its acceleration, its acceleration determines its average velocity over a short period of time, and its average velocity determines its next position. If the time interval between calculations is small, a very good approximation of the motion is produced.