Automated theorem proving | Constraint programming | SAT solvers
In computer science, DPLL(T) is a framework for determining the satisfiability of SMT problems. The algorithm extends the original SAT-solving DPLL algorithm with the ability to reason about an arbitrary theory T. At a high level, the algorithm works by transforming an SMT problem into a SAT formula where atoms are replaced with Boolean variables. The algorithm repeatedly finds a satisfying valuation for the SAT problem, consults a theory solver to check consistency under the domain-specific theory, and then (if a contradiction is found) refines the SAT formula with this information. Many modern SMT solvers, such as Microsoft's Z3 Theorem Prover, use DPLL(T) to power their core solving capabilities. (Wikipedia).
The Two-Dimensional Discrete Fourier Transform
The two-dimensional discrete Fourier transform (DFT) is the natural extension of the one-dimensional DFT and describes two-dimensional signals like images as a weighted sum of two dimensional sinusoids. Two-dimensional sinusoids have a horizontal frequency component and a vertical frequen
From playlist Fourier
(ML 13.11) D-separation (part 2)
Definition of d-separation, and statement of the d-separation theorem for "reading off" conditional independence properties from directed graphical models.
From playlist Machine Learning
The Fast Fourier Transform (FFT)
Here I introduce the Fast Fourier Transform (FFT), which is how we compute the Fourier Transform on a computer. The FFT is one of the most important algorithms of all time. Book Website: http://databookuw.com Book PDF: http://databookuw.com/databook.pdf These lectures follow Chapter
From playlist Fourier
The Discrete Fourier Transform (DFT)
This video introduces the Discrete Fourier Transform (DFT), which is how to numerically compute the Fourier Transform on a computer. The DFT, along with its fast FFT implementation, is one of the most important algorithms of all time. Book Website: http://databookuw.com Book PDF: http
From playlist Fourier
Giles Gardam: Solving semidecidable problems in group theory
Giles Gardam, University of Münster Abstract: Group theory is littered with undecidable problems. A classic example is the word problem: there are groups for which there exists no algorithm that can decide if a product of generators represents the trivial element or not. Many problems (th
From playlist SMRI Algebra and Geometry Online
This video discusses how to compute the Discrete Fourier Transform (DFT) matrix in Matlab and Python. In practice, the DFT should usually be computed using the fast Fourier transform (FFT), which will be described in the next video. Book Website: http://databookuw.com Book PDF: http:
From playlist Data-Driven Science and Engineering
The group_by function in dplyr lets use other functions like summarize and mutate on subgroups within a data frame rather than operating on entire columns all at once. This is useful for generating statistics and creating new variables according to the levels of categorical variables. Lin
From playlist dplyr in R
What is a DPU - A Quick STH Primer to the New Processor
See the main site article here: https://www.servethehome.com/what-is-a-dpu-a-data-processing-unit-quick-primer/ In this video, we discuss the DPU or Data Processing Unit, and what it means for the data center space. We discuss how AWS Nitro was a leader in this area and VMware Project Mon
From playlist Networking on STH
Logic 1 - Propositional Logic | Stanford CS221: AI (Autumn 2019)
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3ChWesU Topics: Logic Percy Liang, Associate Professor & Dorsa Sadigh, Assistant Professor - Stanford University http://onlinehub.stanford.edu/ Associate Professor
From playlist Stanford CS221: Artificial Intelligence: Principles and Techniques | Autumn 2019
The Discrete Fourier Transform
This video provides a basic introduction to the very widely used and important discrete Fourier transform (DFT). The DFT describes discrete-time signals as a weighted sum of complex sinusoid building blocks and is used in applications such as GPS, MP3, JPEG, and WiFi.
From playlist Fourier
Laplace transform of f(t-a)u(t-a), the shifted unit step function
laplace transform of unit step function, Laplace transform of f(t-a)u(t-a), Laplace transform of the shifted unit step function, Laplace transform of f(t)u(t-a), Translation in t theorem, differential equation and laplace transform, www.blackpenredpen.com
From playlist Unit Step Functions & Translation in t (Nagle Sect7.6)
Numerical Differentiation with Finite Difference Derivatives
Approximating derivatives numerically is an important task in many areas of science and engineering, especially for simulating differential equations. In this video, I introduce several approaches to approximate derivatives using finite difference schemes. The error of each method is exp
From playlist Engineering Math: Differential Equations and Dynamical Systems
Mod-01 Lec-08 Cubic Spline Interpolation
Elementary Numerical Analysis by Prof. Rekha P. Kulkarni,Department of Mathematics,IIT Bombay.For more details on NPTEL visit http://nptel.ac.in
From playlist NPTEL: Elementary Numerical Analysis | CosmoLearning Mathematics
Diff EQ Battle 6: Variation of Parameters
Video on variation of parameters: https://youtu.be/PMldTftChtQ Solving homogeneous equations: https://youtu.be/VUc_BLgnSOA Repeated roots: https://youtu.be/4RkX0UXcH-0 Differential equation battle with some difficult functions on the right side! Variation of parameters will help us out
From playlist Differential Equation Battles
Mod-05 Lec-28 General Systems Continued and Non-homogeneous Systems
Ordinary Differential Equations and Applications by A. K. Nandakumaran,P. S. Datti & Raju K. George,Department of Mathematics,IISc Bangalore.For more details on NPTEL visit http://nptel.ac.in.
From playlist IISc Bangalore: Ordinary Differential Equations and Applications | CosmoLearning.org Mathematics
Mod-03 Lec-10 First Order Linear Equations
Ordinary Differential Equations and Applications by A. K. Nandakumaran,P. S. Datti & Raju K. George,Department of Mathematics,IISc Bangalore.For more details on NPTEL visit http://nptel.ac.in.
From playlist IISc Bangalore: Ordinary Differential Equations and Applications | CosmoLearning.org Mathematics
(6.3.1) Intro to the Convolution and Using the Convolution to Find an Inverse Laplace Transform
This video introduces the convolution of two functions. The lesson also explains how to find an inverse Laplace transform using a convolution. https://mathispower4u.com
From playlist Differential Equations: Complete Set of Course Videos
The Discrete Fourier Transform: Sampling the DTFT
http://AllSignalProcessing.com for free e-book on frequency relationships and more great signal processing content, including concept/screenshot files, quizzes, MATLAB and data files.
From playlist Fourier