The R Project for Statistical Computing Publications by Googlers Google publishes hundreds of research papers each year. Publishing is important to us; it enables us to collaborate and share ideas with, as well as learn from, the broader scientific community. Submissions are often made stronger by the fact that ideas have been tested through real product implementation by the time of publication. We believe the formal structures of publishing today are changing - in computer science especially, there are multiple ways of disseminating information. Open Source We understand the value of a collaborative ecosystem and love open-source software. Product and Feature Launches With every launch, we're publishing progress and pushing functionality. Industry Standards Our researchers are often helping to define not just today's products but also tomorrow's. Resources "Resources" doesn't just mean tangible assets but also intellectual. Impact Couple big challenges with big resources and Google offers unprecedented research opportunities.
Laird Breyer's java applets Metropolis-Hastings algorithms are a class of Markov chains which are commonly used to perform large scale calculations and simulations in Physics and Statistics. The button below opens a separate window from your browser containing a demonstation of some of the most common chains which are used for this purpose. The window is resizable, and you may need to adjust its dimensions depending on your system configuration. Two common problems which are approached via M-H algorithms are simulation and numerical integration. The former problem consists in generating a random variable with a prescribed distribution say, which is typically known only to within a constant factor. , in such a way that its equilibrium distribution is the "target" . etc. it can be shown that the distribution of when is large is close to . sufficiently large, the random variable is approximately the variable we are looking for. Moreover after that, etc. are all distributed close to also. with equilibrium distribution up to time
Game From Scratch | Game From Scratch C++ Edition! Want to create a game using C++ and SFML? This is the perfect place to start! This tutorial series will follow the creation of a simple game in C++ from the very beginning till the end, a micro-version of the overall purpose of this site. C++ is an evolving language standard and a great many tutorials out there are horrifically outdated or just plain bad. This series is meant to be a living document, so if you have any questions on specific section, let me know and I will update accordingly! Finally, I don’t pretend to be an expert on C++ nor SFML, so if you see a mistake or you disagree with something I have said, let me know. Alright, lets get this started. EDIT: This tutorial was written a couple years ago and targets Visual Studio 2010. The Introduction In this section we have an overview of what this project is going to involve as well as a list of programs and libraries you are going to need to follow along. Part 1 Part 2 Code, we finally start to code. Part 3 Part 4 Part 5 Part 6 Part 7
Forest fire Forest fire You are encouraged to solve this task according to the task description, using any language you may know. Implement the Drossel and Schwabl definition of the forest-fire model. It is basically a 2D cellular automaton where each cell can be in three distinct states (empty, tree and burning) and evolves according to the following rules (as given by Wikipedia) A burning cell turns into an empty cell A tree will burn if at least one neighbor is burning A tree ignites with probability f even if no neighbor is burning An empty space fills with a tree with probability p Neighborhood is the Moore neighborhood; boundary conditions are so that on the boundary the cells are always empty ("fixed" boundary condition). At the beginning, populate the lattice with empty and tree cells according to a specific probability (e.g. a cell has the probability 0.5 to be a tree). See also Conway's Game of Life and Wireworld. [edit] 6502 Assembly [edit] Ada Sample output: [edit] ALGOL 68 Output:
A Quick, Painless Tutorial on the Python Language Norman Matloff University of California, Davis June 17, 2008 ©2003-2008, N. Matloff Contents What Are Scripting Languages? Languages like C and C++ allow a programmer to write code at a very detailed level which has good execution speed (especially in the case of C). The term scripting language has never been formally defined, but here are the typical characteristics: Used often for system administration, Web programming, text processing, etc. Why Python? The first really popular scripting language was Perl. Advocates of Python, often called pythonistas, say that Python is so clear and so enjoyable to write in that one should use Python for all of one's programming work, not just for scripting work. Background Needed Anyone with even a bit of programming experience should find the material through Section 8 to be quite accessible. The material beginning with Section 10 will feel quite comfortable to anyone with background in an object-oriented programming (OOP) language such as C++ or Java.
Think Labyrinth: Maze Algorithms Maze Classification Mazes in general (and hence algorithms to create Mazes) can be organized along seven different classifications. These are: Dimension, Hyperdimension, Topology, Tessellation, Routing, Texture, and Focus. A Maze can take one item from each of the classes in any combination. Dimension: The dimension class is basically how many dimensions in space the Maze covers. 2D: Most Mazes, either on paper or life size, are this dimension, in which it's always possible to display the plan on the sheet of paper and navigate it without overlapping any other passages in the Maze. 3D: A three dimensional Maze is one with multiple levels, where (in the orthogonal case at least) passages may go up and down in addition to the four compass directions. Hyperdimension: The hyperdimension class refers to the dimension of the object you move through the Maze, as opposed to the dimension of the Maze environment itself. Normal: This is a standard Maze in Euclidean space. Maze Creation Algorithms
YouTube Playlists for Learning Programming YouTube has been very good platform for learning any thing. Earlier you have seen 400+ courses on YouTube and 130+ NPTEL courses. There are few more courses especially about computer programming. thenewboston: thenewboston is a great youtube channel, has more than 2o playlists covering topics Python, C, Java, iPhone development and web programming like HTML, CSS, PHP. Xoax.net Xoax has more than 200 videos but mainly focuses on C++. PHPacademy As the name suggests, it focuses mainly on PHP and some on MySql. There are more videos on small projects like writing your own search engine for your database, pagination, creating a rating system etc… Related posts: Get more stuff like this