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destevez.net | ||
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francisbach.com
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| | | | | [AI summary] This text discusses the scaling laws of optimization in machine learning, focusing on asymptotic expansions for both strongly convex and non-strongly convex cases. It covers the derivation of performance bounds using techniques like Laplace's method and the behavior of random minimizers. The text also explains the 'weird' behavior observed in certain plots, where non-strongly convex bounds become tight under specific conditions. The analysis connects theoretical results to practical considerations in optimization algorithms. | |
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almostsuremath.com
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| | | | | In today's post, I investigate a simple recurrence relation and show how it is possible to describe its behaviour asymptotically at large times. The relation describing how the series evolves at a time n will depend both on its value at the earlier time n/2 and on whether n is even or odd, which, as... | |
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gafferongames.com
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| | | | | Hello readers, I'm no longer posting new content on gafferongames.com Please check out my new blog at mas-bandwidth.com! Introduction Hi, I'm Glenn Fiedler and welcome to Game Physics. In the previous article we discussed how to integrate our physics simulation forward at fixed delta time increments, regardless of display framerate. In this article we are going to simulate motion in three dimensions. Rigid Bodies We will concentrate on a type of object called a rigid body. | |
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www.nicktasios.nl
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| | | In this series of posts, I am going to create a clone of the classic arcade game, space invaders, in C++ using only a few dependencies. In this post I will set up the required OpenGL shaders to draw a | ||
