Theory of computation | Static program analysis
The size-change termination principle (SCT) guarantees termination for a computer program by proving that infinite computations always trigger infinite descent in data values that are well-founded. Size-change termination analysis utilizes this principle in order to solve the universal halting problem for a certain class of programs. When applied to general programs, the principle is intended to be used conservatively, which means that if the analysis determines that a program is terminating, the answer is sound, but a negative answer means "don't know". The decision problem for SCT is PSPACE-complete; however, there exists an algorithm that computes an approximation of the decision problem in polynomial time. Size-change analysis is applicable to both first-order and higher-order functional programs, as well as imperative programs and logic programs. The latter application preceded by four years the general formulation of the principle by Lee et al. (Wikipedia).
WHAT ARE SHRINK RULES Short #16 tubalcain patternmakers
You are watching #16 of my "SHORT SUBJECT" video series. Here is a link to my SHORT SUBJECT PLAYLIST-- https://www.youtube.com/playlist?list=PL6HIFled82YXOnt4YhGvYPBQ40XO3ITRk Please like & subscribe & watch my 1400 other machine shop videos. #dialindicator#testindicator#brown&sharpe#mitut
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Ex: Determine Percent of Change - Increase and Decrease
This video provides 4 examples of how to determine the percent of change.
From playlist Percent of Change
How to determine the reduction scale factor for two parallelograms
👉 Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
Growth & Decay - Saltwater/Freshwater Problem (3 of 3: Interpreting the situation)
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From playlist Rates of Change
How to determine the scale factor for the dilation of two triangles
👉 Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
Exponential Growth and Decay (2 of 4: Satisfying the DE by integration/differentiation)
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From playlist Rates of Change
Evaluating Recurrence Relations (3 of 4: Using Recurring Pattern to group Relation in a series)
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From playlist Further Integration
Direct Variation (1 of 5: Relating two changing quantities)
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From playlist Further Ratios and Rates
👉 Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
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From playlist Abstract Algebra 2
Creating a Terminal Emulator PART 4 [c++ live stream]
I am creating a special-purpose terminal emulator for my video productions. Welcome to tag along! Become a member: https://youtube.com/Bisqwit/join My links: Twitter: https://twitter.com/RealBisqwit Liberapay: https://liberapay.com/Bisqwit Steady: https://steadyhq.com/en/bisqwit Patreon
From playlist Let’s Create a Terminal Emulator
Creating a Terminal Emulator PART 5 [c++ live stream]
I am creating a special-purpose terminal emulator for my video productions. Welcome to tag along! My links: Twitter: https://twitter.com/RealBisqwit Liberapay: https://liberapay.com/Bisqwit Steady: https://steadyhq.com/en/bisqwit Patreon: https://patreon.com/Bisqwit (Other options at htt
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Can a Random Reinforcement Learning Agent Maximize its Score? Soft Actor Critic (SAC) in Tensorflow2
The Soft Actor Critic Algorithm is a powerful tool for solving cutting edge deep reinforcement learning problems involving continuous action space environments. It's a variation of the actor critic method that leverages a maximum entropy framework, double Q networks, and target value netwo
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Dueling Deep Q Learning with Tensorflow 2 & Keras | Full Tutorial for Beginners
Dueling Deep Q Learning is easier than ever with Tensorflow 2 and Keras. In this tutorial for deep reinforcement learning beginners we'll code up the dueling deep q network and agent from scratch, with no prior experience needed. We'll train an agent to land a spacecraft on the surface of
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Creating a Terminal Emulator [c++ live stream]
I am in the process of rewriting some of the tools that I use for my programming video productions. As a part of this, I am planning to create a special-purpose terminal emulator (virtual terminal). This was broadcast live on my channel on 31 March 2019. The terminal was not completed in t
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Universality of the local regime for some types of random band matrices - Tatyana Shcherbina
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From playlist Mathematics
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PROGRAM: ADVANCES IN APPLIED PROBABILITY ORGANIZERS: Vivek Borkar, Sandeep Juneja, Kavita Ramanan, Devavrat Shah, and Piyush Srivastava DATE & TIME: 05 August 2019 to 17 August 2019 VENUE: Ramanujan Lecture Hall, ICTS Bangalore Applied probability has seen a revolutionary growth in resear
From playlist Advances in Applied Probability 2019
Deep Q Learning With Tensorflow 2
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From playlist Deep Reinforcement Learning Tutorials - All Videos
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👉 Learn about dilations. Dilation is the transformation of a shape by a scale factor to produce an image that is similar to the original shape but is different in size from the original shape. A dilation that creates a larger image is called an enlargement or a stretch while a dilation tha
From playlist Transformations
Lecture 02: Markov Decision Processes
Second lecture on the course "Reinforcement Learning" at Paderborn University during the summer term 2020. Source files are available here: https://github.com/upb-lea/reinforcement_learning_course_materials
From playlist Reinforcement Learning Course: Lectures (Summer 2020)