Encode positive integers, positive integer sequences, and rising integer sequences in (Elias) γ code.
Gamma function.
Calculate a scaled Lanczos sum for the approximation of the gamma function.
Gamma distribution cumulative distribution function (CDF).
Incomplete gamma function.
browser-side require() the node way
Calculate the Lanczos sum for the approximation of the gamma function.
Arbitrary constant `g` to be used in Lanczos approximation functions.
Compute the ratio of two gamma functions.
the gamma function (Γ)
parse a bundle generated by browser-pack
A utility package for JavaScript applications.
Gamma distribution quantile function.
Compute gamma(x+1) - 1.
Gamma distribution probability density function (PDF).
PNG encoder/decoder in pure JS, supporting any bit size & interlace, async & sync with full test suite.
Gamma distributed pseudorandom numbers.
Gamma distribution logarithm of probability density function (PDF).
Inverse incomplete gamma function.
A plugin for svg.js adding filter functionality
A plugin for svg.js adding filter functionality
Natural logarithm of the gamma function.
Shared contract between the Gamma host (gamma-console) and federated remote modules. Provides types, interfaces, and runtime stubs that are replaced at runtime by the host's real implementation via Module Federation.
Shared observability library for Gamma modules — dashboards, logs, tracing UI components and integration with business rules.
Simple Random Number Generator including Beta, Cauchy, Chi square, Exponential, Gamma, Inverse Gamma, Laplace (double exponential), Normal, Student t, Uniform, and Weibull. Ported from John D. Cook's C# Code.
Pure-Ruby implementation of Black-Scholes European and CRR Binomial American option pricing with delta, gamma, theta, vega, rho, and Brent's-method implied volatility. No Python, no QuantLib system dep, no native code.
Graphviz wrapper for Ruby. This can be used as a common library, a rails plugin and a command line tool. == FEATURES/PROBLEMS: GraphvizR is graphviz adapter for Ruby, and it can: * generate a graphviz dot file, * generate an image file by means of utilizing graphviz, * interprete rdot file and generate an image file, * and, generate a graph image file in rails application as a rails plugin. == SYNOPSYS: === Command Line: bin/graphviz_r sample/record.rdot === In Your Code: This ruby code: gvr = GraphvizR.new 'sample' gvr.graph [:label => 'example', :size => '1.5, 2.5'] gvr.beta [:shape => :box] gvr.alpha >> gvr.beta (gvr.beta >> gvr.delta) [:label => 'label1'] gvr.delta >> gvr.gamma gvr.to_dot replies the dot code: digraph sample { graph [label = "example", size = "1.5, 2.5"]; beta [shape = box]; alpha -> beta; beta -> delta [label = "label1"]; delta -> gamma; } To know more detail, please see test/test_graphviz_r.rb === On Rails : <b>use _render :rdot_ in controller</b> def show_graph render :rdot do graph [:size => '1.5, 2.5'] node [:shape => :record] node1 [:label => "<p_left> left|<p_center>center|<p_right> right"] node2 [:label => "left|center|right"] node1 >> node2 node1(:p_left) >> node2 node2 >> node1(:p_center) (node2 >> node1(:p_right)) [:label => 'record'] end end <b>use rdot view template</b> class RdotGenController < ApplicationController def index @label1 = "<p_left> left|<p_center>center|<p_right> right" @label2 = "left|center|right" end end # view/rdot_gen/index.rdot graph [:size => '1.5, 2.5'] node [:shape => :record] node1 [:label => @label1] node2 [:label => @label2] node1 >> node2 node1(:p_left) >> node2 node2 >> node1(:p_center) (node2 >> node1(:p_right)) [:label => 'record'] == DEPENDENCIES: * Graphviz (http://www.graphviz.org) == TODO: == INSTALL: * sudo gem install graphviz_r * if you want to use this in ruby on rails * script/plugin install http://technohippy.net/svn/repos/graphviz_r/trunk/vendor/plugins/rdot == LICENSE: (The MIT License)
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