Monte Carlo Integration

Monte Carlo integration

Monte Carlo integration is a numerical technique for computing definite integrals using random numbers. It evaluates the integrand at randomly chosen points instead of a regular grid. This method is especially useful for higher-dimensional integrals and there are various methods to perform it.

3 courses cover this concept

CS 184/284a: Computer Graphics and Imaging

UC Berkeley

Spring 2022

This course provides a broad introduction to computer graphics, covering modeling, rendering, animation, and imaging. It emphasizes the mathematical and geometric aspects of graphics and requires a data structures course and programming ability. Covered concepts range from 2D and 3D transformations to image processing.

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CS 294-13: Advanced Computer Graphics

UC Berkeley

Fall 2009

This course gives a comprehensive introduction to modern computer graphics with a focus on research topics. It includes 3D computer graphics, physical simulation, and rendering, along with real-time rendering methods and computational photography. A substantial amount of the course covers current research areas, equipping students for further work in the field. It is tailored for graduate students or advanced undergraduates interested in computer graphics.

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CSCI 2240: Advanced Computer Graphics

Brown University

Spring 2023

CSCI 2240 is a comprehensive exploration of 3D graphics, diving into rendering, geometry processing, simulation, and optimization. Expect a mathematically intensive approach to topics such as light transport physics, 3D triangle mesh algorithms, and 3D shape optimization. Culminating in an open-ended project, students will be equipped to undertake graphics research and delve into recent research papers.

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