bbtools v1.3.0

BBTools

Building Blocks and Tools JavaScript Library.

Usage

Using it by doing:

• Download the Library:

	git clone https://github.com/quinonez/BBTools
	cd BBTools
	git tag
	git checkout v1.3

• Start using it by going to workarea and edit files BBT-tests.js and index.html.
• Open index.html with your favorite web browser.
• Do not forget to refresh the web page any time you edit the source files.
• The optimized library is put on dis/BBT.min.js.

Information About Versions

Version 1.2

• Added the Random package that contains modules:
  • JamesRandom
  • RandBinomial
  • RandBit
  • RandBreitWigner
  • RandChiSquare
  • RandExponential
  • RandFlat
  • RandGamma
  • RandGauss
  • RandLandau
  • RandPoisson
  • RandStudentT
• Objects of kind H1 have a new member function: FillRandom that fill an 1D histogram with random values according to an especified probability distribution function.
• Folders with examples on BBTools/workarea: jamesrandom, rand*, h1fillrandom.

README USAGE OF RandBinomial

n is the number of Bermoulli trials. n is must be less or equal than the array's size p is the probability to obtain 1 in one Bernoulli trial.

Approach 1

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 300;
  var A = [];
  var argu;
  argu = { size: n, vect: A, engine: gen, n: 100, p: 0.5 };
  BBT.RandBinomial.ShootArray( argu );
  console.log(A);
  var B = A.sort();
  var minimo = B[0];
  var indmax = B.length - 1;
  var maximo = B[indmax];
  console.log("minimo %f",minimo);
  console.log("maximo %f",maximo);

README USAGE OF RandBit

Approach 1

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 30;
  var A = [];
  var argu =  { size: n, vect: A, engine: gen };
  BBT.RandBit.ShootArray( argu );
  console.log(A);

Approach 2

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 30;
  var A = [];
  var bw = new BBT.RandBit( { engine: gen } );
  bw.FireArray( n, A );
  console.log(A);

Approach 3

  var n = 30;
  var A = [];
  var bw = new BBT.RandBit({});
  bw.FireArray( n, A );
  console.log(A);

README USAGE OF RandBreitWigner

Approach 1

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 30;
  var A = [];
  var argu =  { size: n, vect: A, engine: gen, mean: 3, gamma: 0.5, cut: undefined };
  BBT.RandBreitWigner.ShootArray( argu );
  console.log(A);
  console.log( bw.FireM2() );

Approach 2

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 30;
  var A = [];
  var argu =  { size: n, vect: A, engine: gen, mean: 3, gamma: 0.5, cut: undefined };
  BBT.RandBreitWigner.ShootArray( argu );
  console.log(A);
  console.log( bw.FireM2() );

Approach 3

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 30;
  var A = [];
  var argu =  { size: n, vect: A, engine: gen, mean: 3, gamma: 0.5, cut: undefined };
  BBT.RandBreitWigner.ShootArray( argu );
  console.log(A);
  console.log( bw.FireM2() );

README USAGE OF RandChiSquare

Approach 1

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 30;
  var A = [];
  var argu =  { size: n, vect: A, engine: gen, pdf_a: 3 };
  BBT.RandChiSquare.ShootArray( argu );
  console.log(A);

Approach 2

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 30;
  var A = [];
  var bw = new BBT.RandChiSquare( { engine: gen } );
  bw.FireArray( n, A );
  console.log(A);

Approach 3

  var n = 30;
  var A = [];
  var cs = new BBT.RandChiSquare({});
  cs.FireArray( n, A );
  console.log(A);

README USAGE OF RandExponential

Approach 1

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 30;
  var A = [];
  var argu =  { size: n, vect: A, engine: gen, mean: 3 };
  BBT.RandExponential.ShootArray( argu );
  console.log(A);

Approach 2

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 30;
  var A = [];
  var bw = new BBT.RandExponential( { engine: gen, mean: 3 } );
  bw.FireArray( n, A );
  console.log(A);

Approach 3

  var n = 30;
  var A = [];
  var bw = new BBT.RandExponential({});
  bw.FireArray( n, A );
  console.log(A);

README USAGE OF RandFlat

Approach 1

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 30;
  var A = [];
  var argu =  { size: n, vect: A, a: 0, b: 1000000 };
  BBT.RandFlat.ShootArray( argu );
  console.log(A);

Approach 2

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 30;
  var A = [];
  var f = new BBT.RandFlat( { engine: gen } );
  f.FireArray( n, A );
  console.log(A);

Approach 3

  var n = 30;
  var A = [];
  var f = new BBT.RandFlat({});
  f.FireArray( n, A );
  console.log(A);

README USAGE OF RandGamma

Approach 1

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 50;
  var A = [];
  var argu =  { size: n, vect: A, engine: gen, k: 3, lambda: 2 };
  BBT.RandGamma.ShootArray( argu );
  console.log(A);

Approach 2

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 50;
  var A = [];
  var g = new BBT.RandGamma( { engine: gen, engine: gen, k: 3, lambda: 2 } );
  g.FireArray( n, A );
  console.log(A);

Approach 3

  var n = 50;
  var A = [];
  var g = new BBT.RandGamma({});
  g.FireArray( n, A );
  console.log(A);

README USAGE OF RandGauss

Approach 1

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 50;
  var A = [];
  var argu =  { size: n, vect: A, engine: gen, mean: 115, stdDev: 5 };
  BBT.RandGauss.ShootArray( argu );
  console.log(A);

Approach 2

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 50;
  var A = [];
  var g = new BBT.RandGauss( { engine: gen, mean: 115, stdDev: 5 } );
  bw.FireArray( n, A );
  console.log(A);

Approach 3

  var n = 30;
  var A = [];
  var g = new BBT.RandGauss({});
  g.FireArray( n, A );
  console.log(A);

README USAGE OF RandLandau

Approach 1

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 50;
  var A = [];
  var argu =  { size: n, vect: A, engine: gen };
  BBT.RandLandau.ShootArray( argu );
  console.log(A);

README USAGE OF RandPoisson

Approach 1

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 50;
  var A = [];
  var argu =  { size: n, vect: A, engine: gen, mean: 105 };
  BBT.RandPoisson.ShootArray( argu );
  console.log(A);

Approach 2

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 50;
  var A = [];
  var p = new BBT.RandPoisson( { engine: gen, mean: 105 } );
  p.FireArray( n, A );
  console.log(A);

Approach 3

  var n = 50;
  var A = [];
  var p = new BBT.RandPoisson({});
  p.FireArray( n, A );
  console.log(A);

README USAGE OF RandStudentT

Approach 1

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 100;
  var A = [];
  var argu =  { size: n, vect: A, engine: gen, a: 2 };
  BBT.RandStudentT.ShootArray( argu );
  console.log(A);

Approach 2

  var gen = new BBT.JamesRandom( { seed: 12345 } );
  var n = 100;
  var A = [];
  var st = new BBT.RandStudentT( { engine: gen, a: 2 } );
  st.FireArray( n, A );
  console.log(A);

Approach 3

  var n = 100;
  var A = [];
  var st = new BBT.RandStudentT({});
  st.FireArray( n, A );
  console.log(A);

Version 1.1

Same as version 1.0 but including folder of examples called BBTools/workarea.

Version 1.0

• Users can define histograms like

     var h = BBT.H1("h", "h", nbinsx, xmin, xmax);

• Users can fill histograms like

      h.Fill(numericalValue);

• Users can draw histograms without drawing options like

      h.Draw();

Folder/File Structure

• BBTools/

  • BBT/
    • Analysis/
    • convert.js
    • Generation/
      • Random/
        • JamesRandom.js
        • RandBinomial.js
        • RandBit.js
        • RandBreitWigner.js
        • RandChiSquare.js
        • RandExponential.js
        • RandFlat.js
        • RandGamma.js
        • RandGauss.js
        • RandLandau.js
        • RandPoisson.js
        • RandStudentT.js
    • Visualization/
      • Axis.js
      • H1.js
      • Painter.js
  • BBT.js
  • dist/
    • BBT.min.js
  • latex/
    • viena2016/
      • abstract.aux
      • abstract.log
      • abstract.pdf
      • abstract.tex
      • BBTools.svg
  • lib/
    • d3.js
    • d3.min.js
    • FileSaver.js
    • FileSaver.min.js
    • jquery.js
    • require.js
    • three.js
    • three.min.js
    • underscore.js
  • LICENSE
  • ModulesList.ods
  • README.md
  • tools/
    • almond.js
    • build.js
    • r.js
    • wrap.end
    • wrap.start
  • workarea/
    • BBT-tests.js
    • index.html
    • jamesrandom/
      • BBT-tests.js
      • index.html
      • README.md
    • h1fillrandom/
      • BBT-tests.js
      • index.html
      • README.md
    • randbinomial/
      • BBT-tests.js
      • index.html
      • README.md
    • randbit/
      • BBT-tests.js
      • index.html
      • README.md
    • randbreitwigner/
      • BBT-tests.js
      • index.html
      • README.md
    • randchisquare/
      • BBT-tests.js
      • index.html
      • README.md
    • randexponential/
      • BBT-tests.js
      • index.html
      • README.md
    • randflat/
      • BBT-tests.js
      • index.html
      • README.md
    • randgamma/
      • BBT-tests.js
      • index.html
      • README.md
    • randgauss/
      • BBT-tests.js
      • index.html
      • README.md
    • randlandau/
      • BBT-tests.js
      • index.html
      • README.md
    • randpoisson/
      • BBT-tests.js
      • index.html
      • README.md
    • randstudentt/
      • BBT-tests.js
      • index.html
      • README.md