In computer science, an LL parser (Left-to-right, leftmost derivation) is a top-down parser for a restricted context-free language. It parses the input from Left to right, performing Leftmost derivation of the sentence. An LL parser is called an LL(k) parser if it uses k tokens of lookahead when parsing a sentence. A grammar is called an LL(k) grammar if an LL(k) parser can be constructed from it. A formal language is called an LL(k) language if it has an LL(k) grammar. The set of LL(k) languages is properly contained in that of LL(k+1) languages, for each k ≥ 0. A corollary of this is that not all context-free languages can be recognized by an LL(k) parser. An LL parser is called LL-regular (LLR) if it parses an LL-regular language. The class of LLR grammars contains every LL(k) grammar for every k. For every LLR grammar there exists an LLR parser that parses the grammar in linear time. Two nomenclative outlier parser types are LL(*) and LL(finite). A parser is called LL(*)/LL(finite) if it uses the LL(*)/LL(finite) parsing strategy. LL(*) and LL(finite) parsers are functionally more closely resemblant to PEG parsers. An LL(finite) parser can parse an arbitrary LL(k) grammar optimally in the amount of lookahead and lookahead comparisons. The class of grammars parsable by the LL(*) strategy encompasses some context-sensitive languages due to the use of syntactic and semantic predicates and has not been identified. It has been suggested that LL(*) parsers are better thought of as TDPL parsers.Against the popular misconception, LL(*) parsers are not LLR in general, and are guaranteed by construction to perform worse on average (super-linear against linear time) and far worse in the worst-case (exponential against linear time). LL grammars, particularly LL(1) grammars, are of great practical interest, as parsers for these grammars are easy to construct, and many computer languages are designed to be LL(1) for this reason. LL parsers may be table-based, i.e. similar to LR parsers, but LL grammars can also be parsed by recursive descent parsers. According to Waite and Goos (1984), LL(k) grammars were introduced by Stearns and Lewis (1969). (Wikipedia).
Excel - Introduction to Solver - 2036
Microsoft Excel - Solver Introduction. Solver is a free add-in for Windows versions of Excel that can find optimal solutions for problems that are more complex than something Goal Seek can solve. Solver has been a free add-in since the days of Lotus 1-2-3 Solver is a product of Visicorp f
From playlist Full Advanced Excel Course - Free
Clojure - the Reader and Evaluator (4/4)
Part of a series teaching the Clojure language. For other programming topics, visit http://codeschool.org
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Pareto Analysis for Beginners in Excel
Check out the article on Pareto Analysis and download the Excel file here: https://magnimetrics.com/pareto-principle-in-financial-analysis/ Fill our survey for a FREE Benchmark Analysis template! https://forms.gle/A4MLhr7J5rRG1JBi8 If you like this video, drop a comment, give it a thumbs
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Clojure - the Reader and Evaluator (2/4)
Part of a series teaching the Clojure language. For other programming topics, visit http://codeschool.org
From playlist the Clojure language
LoneStarRuby Conf 2008 - Grammar a BNF like Ruby DSL Parsing 960x368 by: Eric Mahurin
Grammar a BNF like Ruby DSL Parsing 960x368 by: Eric Mahurin Help us caption & translate this video! http://amara.org/v/G13L/
From playlist Lone Star Ruby Conference 2008
Compiler Design Lecture 10 -- LR parsing, LR(0) items and LR(0) parsing table
Click for free access to Educator's best classes: : https://www.unacademy.com/a/Best-Classes-of-all-time-by-Vishvadeep-Gothi-CS.html For regular updates follow : https://unacademy.com/community/Q3ZGJY/ To purchase please click : https://unacademy.onelink.me/081J/zv9co3u1
From playlist Compiler Design
PERL Tutorial - 1 | PERL Tutorial for Beginners - 1 | Perl Scripting Language Tutorial | Edureka
( https://www.edureka.co/mastering-perl-scripting-self-paced ) Perl is one of the most popular open source interpreted programming languages with a huge number of programmers, libraries and resources. Programmers are using Perl from decades because of its extensive libraries, consistently
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ElixirConf 2015 - The road to intellij-elixir 1.0.0 By Luke Imhoff
Learn how naively copying a grammar file from one parser generator to another won't work. Go back to the beginning and learn about lexers vs parsers, but discover that the power of interpolation changes the computational complexity and forces the lexer to be a push-down automata instead of
From playlist ElixirConf 2015
Wicked Good Ruby 2013 - RubyMotion under the Hood By Joshua Ballanco
By Joshua Ballanco By now you probably know that RubyMotion is a new toolchain that lets you use familiar Ruby techniques to develop applications for iOS... but do you know what makes it tick? How is RubyMotion different from toolchains such as PhoneGap or Titanium? What does it mean to s
From playlist Wicked Good Ruby 2013
Blender 2.79 Tutorial 4 : Blender Materials
Cheat Sheet / Files : https://goo.gl/rqArwb Best Blender Book : http://amzn.to/2n0HDg6 https://www.patreon.com/derekbanas I continue my Blender Tutorial series this time by talking a great deal about Materials. I also cover lighting, textures, show how to simulate glass, how to get lights
From playlist Blender Tutorial
If f(x) = 1/x, show that f(x + a) - f(x - a) = 2a/(a^2 - x^2)
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From playlist Evaluating Functions
Derivative with the Limit Definition: f(x) = 1/(2x)
In this video we find the derivative of f(x) = 1/(2x) using the definition of the derivative. I hope this video is helpful. Great Calculus Book: https://amzn.to/3VfotAU This is my affiliate link. As an Amazon Associate I earn from qualifying purchases. If you enjoyed this video please con
From playlist Definition of the Derivative
(February 9, 2011) Matthew Might focuses on a new way to write parsers and how it will affect computer science in the future. Might discusses these parsers and overall language theory, to help explain how there is demand for better parsing tools and how computer science will be improved in
From playlist Engineering
CLR(1) and LALR(1) Parsers | L 14 | Compiler Design | GATE CS/IT #RavindrababuRaula
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From playlist Compiler Design
RES.LL-005 D4M: Signal Processing on Databases, Fall 2012 View the complete course: http://ocw.mit.edu/RESLL-005F12 Instructor: Jeremy Kepner Creating an exploded database schema. Standard database processing chain. Graph adjacency matrix. Vertex degree distribution. Directed graphs, mu
From playlist MIT D4M: Signal Processing on Databases, Fall 2012
Download Images With Python Automatically - Python Web Scraping Tutorial
Learn how we can automatically scrape and download images from Google Images with Python. We will use two Python packages called requests and BeautifulSoup for this Tutorial. Just put in a search word and the number of images you want, and Python can do the rest for you :) ~~~~~~~~~~~~~~
From playlist Fun Python Projects
The Video going to guide how to make quadratic function with graph. lets see the video to make it, it's easy.
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What Makes Python Python? (aka Everything About Python’s Grammar)
We will try to answer a straightforward question: What makes Python so easy to learn and read? Other languages also have a robust community and a compelling ecosystem and standard library, but Python somehow stands out on how easy it is to understand existing code and how quickly and pleas
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