Found in titles:

  1. HandWikiWiki: DMelt:Numeric/1.Linear.Algebra [100%] (in title)
  2. HandWikiWiki: DMelt:Numeric/4.Linear.Equations [100%] (in title)
  3. DataMelt DMelt: Catalano.Statistics.Kernels.Linear [100%] (Java API)
  4. DataMelt DMelt: joptima.functions.Linear [100%] (Java API)
  5. DataMelt DMelt: jsat.classifiers.linear.ALMA2 [100%] (Java API)
  6. DataMelt DMelt: jsat.classifiers.linear.AROW [100%] (Java API)
  7. DataMelt DMelt: jsat.classifiers.linear.BBR [100%] (Java API)
  8. DataMelt DMelt: jsat.classifiers.linear.LinearBatch [100%] (Java API)
  9. DataMelt DMelt: jsat.classifiers.linear.LinearL1SCD [100%] (Java API)
  10. DataMelt DMelt: jsat.classifiers.linear.LinearSGD [100%] (Java API)
  11. DataMelt DMelt: jsat.classifiers.linear.LinearTools [100%] (Java API)
  12. DataMelt DMelt: jsat.classifiers.linear.LogisticRegressionDCD [100%] (Java API)
  13. DataMelt DMelt: jsat.classifiers.linear.NHERD [100%] (Java API)
  14. DataMelt DMelt: jsat.classifiers.linear.NewGLMNET [100%] (Java API)
  15. DataMelt DMelt: jsat.classifiers.linear.PassiveAggressive [100%] (Java API)
  16. DataMelt DMelt: jsat.classifiers.linear.ROMMA [100%] (Java API)
  17. DataMelt DMelt: jsat.classifiers.linear.SCD [100%] (Java API)
  18. DataMelt DMelt: jsat.classifiers.linear.SCW [100%] (Java API)
  19. DataMelt DMelt: jsat.classifiers.linear.SDCA [100%] (Java API)
  20. DataMelt DMelt: jsat.classifiers.linear.SMIDAS [100%] (Java API)
  21. DataMelt DMelt: jsat.classifiers.linear.SPA [100%] (Java API)
  22. DataMelt DMelt: jsat.classifiers.linear.STGD [100%] (Java API)
  23. DataMelt DMelt: jsat.classifiers.linear.StochasticMultinomialLogisticRegression [100%] (Java API)
  24. DataMelt DMelt: jsat.classifiers.linear.StochasticSTLinearL1 [100%] (Java API)
  25. DataMelt DMelt: jsat.classifiers.linear.package-frame [100%] (Java API)
  26. DataMelt DMelt: jsat.classifiers.linear.package-summary [100%] (Java API)
  27. DataMelt DMelt: jsat.linear.CholeskyDecomposition [100%] (Java API)
  28. DataMelt DMelt: jsat.linear.ConcatenatedVec [100%] (Java API)
  29. DataMelt DMelt: jsat.linear.ConstantVector [100%] (Java API)
  30. DataMelt DMelt: jsat.linear.DenseMatrix [100%] (Java API)
  31. DataMelt DMelt: jsat.linear.DenseVector [100%] (Java API)
  32. DataMelt DMelt: jsat.linear.EigenValueDecomposition [100%] (Java API)
  33. DataMelt DMelt: jsat.linear.GenericMatrix [100%] (Java API)
  34. DataMelt DMelt: jsat.linear.HessenbergForm [100%] (Java API)
  35. DataMelt DMelt: jsat.linear.IndexValue [100%] (Java API)
  36. DataMelt DMelt: jsat.linear.LUPDecomposition [100%] (Java API)
  37. DataMelt DMelt: jsat.linear.Matrix [100%] (Java API)
  38. DataMelt DMelt: jsat.linear.MatrixOfVecs [100%] (Java API)
  39. DataMelt DMelt: jsat.linear.MatrixStatistics [100%] (Java API)
  40. DataMelt DMelt: jsat.linear.Poly2Vec [100%] (Java API)
  41. DataMelt DMelt: jsat.linear.QRDecomposition [100%] (Java API)
  42. DataMelt DMelt: jsat.linear.RandomMatrix [100%] (Java API)
  43. DataMelt DMelt: jsat.linear.RandomVector [100%] (Java API)
  44. DataMelt DMelt: jsat.linear.RowColumnOps [100%] (Java API)
  45. DataMelt DMelt: jsat.linear.ScaledVector [100%] (Java API)
  46. DataMelt DMelt: jsat.linear.ShiftedVec [100%] (Java API)
  47. DataMelt DMelt: jsat.linear.SingularValueDecomposition [100%] (Java API)
  48. DataMelt DMelt: jsat.linear.SparseMatrix [100%] (Java API)
  49. DataMelt DMelt: jsat.linear.SparseVector [100%] (Java API)
  50. DataMelt DMelt: jsat.linear.SubMatrix [100%] (Java API)
  51. DataMelt DMelt: jsat.linear.SubVector [100%] (Java API)
  52. DataMelt DMelt: jsat.linear.TransposeView [100%] (Java API)
  53. DataMelt DMelt: jsat.linear.Vec [100%] (Java API)
  54. DataMelt DMelt: jsat.linear.VecOps [100%] (Java API)
  55. DataMelt DMelt: jsat.linear.VecPaired [100%] (Java API)
  56. DataMelt DMelt: jsat.linear.VecPairedComparable [100%] (Java API)
  57. DataMelt DMelt: jsat.linear.VecWithNorm [100%] (Java API)
  58. DataMelt DMelt: jsat.linear.distancemetrics.ChebyshevDistance [100%] (Java API)
  59. DataMelt DMelt: jsat.linear.distancemetrics.CosineDistance [100%] (Java API)
  60. DataMelt DMelt: jsat.linear.distancemetrics.CosineDistanceNormalized [100%] (Java API)
  61. DataMelt DMelt: jsat.linear.distancemetrics.DenseSparseMetric [100%] (Java API)
  62. DataMelt DMelt: jsat.linear.distancemetrics.DistanceCounter [100%] (Java API)
  63. DataMelt DMelt: jsat.linear.distancemetrics.DistanceMetric [100%] (Java API)
  64. DataMelt DMelt: jsat.linear.distancemetrics.EuclideanDistance [100%] (Java API)
  65. DataMelt DMelt: jsat.linear.distancemetrics.JaccardDistance [100%] (Java API)
  66. DataMelt DMelt: jsat.linear.distancemetrics.KernelDistance [100%] (Java API)
  67. DataMelt DMelt: jsat.linear.distancemetrics.MahalanobisDistance [100%] (Java API)
  68. DataMelt DMelt: jsat.linear.distancemetrics.ManhattanDistance [100%] (Java API)
  69. DataMelt DMelt: jsat.linear.distancemetrics.MinkowskiDistance [100%] (Java API)
  70. DataMelt DMelt: jsat.linear.distancemetrics.NormalizedEuclideanDistance [100%] (Java API)
  71. DataMelt DMelt: jsat.linear.distancemetrics.PearsonDistance [100%] (Java API)
  72. DataMelt DMelt: jsat.linear.distancemetrics.SquaredEuclideanDistance [100%] (Java API)
  73. DataMelt DMelt: jsat.linear.distancemetrics.TrainableDistanceMetric [100%] (Java API)
  74. DataMelt DMelt: jsat.linear.distancemetrics.WeightedEuclideanDistance [100%] (Java API)
  75. DataMelt DMelt: jsat.linear.distancemetrics.package-frame [100%] (Java API)
  76. DataMelt DMelt: jsat.linear.distancemetrics.package-summary [100%] (Java API)
  77. DataMelt DMelt: jsat.linear.package-frame [100%] (Java API)
  78. DataMelt DMelt: jsat.linear.package-summary [100%] (Java API)
  79. DataMelt DMelt: jsat.linear.solvers.ConjugateGradient [100%] (Java API)
  80. DataMelt DMelt: jsat.linear.solvers.package-frame [100%] (Java API)
  81. DataMelt DMelt: jsat.linear.solvers.package-summary [100%] (Java API)
  82. DataMelt DMelt: jsat.linear.vectorcollection.BallTree [100%] (Java API)
  83. DataMelt DMelt: jsat.linear.vectorcollection.BaseCaseDT [100%] (Java API)
  84. DataMelt DMelt: jsat.linear.vectorcollection.CoverTree [100%] (Java API)
  85. DataMelt DMelt: jsat.linear.vectorcollection.DefaultVectorCollection [100%] (Java API)
  86. DataMelt DMelt: jsat.linear.vectorcollection.DualTree [100%] (Java API)
  87. DataMelt DMelt: jsat.linear.vectorcollection.IncrementalCollection [100%] (Java API)
  88. DataMelt DMelt: jsat.linear.vectorcollection.IndexDistPair [100%] (Java API)
  89. DataMelt DMelt: jsat.linear.vectorcollection.IndexNode [100%] (Java API)
  90. DataMelt DMelt: jsat.linear.vectorcollection.IndexTuple [100%] (Java API)
  91. DataMelt DMelt: jsat.linear.vectorcollection.KDTree [100%] (Java API)
  92. DataMelt DMelt: jsat.linear.vectorcollection.RTree [100%] (Java API)
  93. DataMelt DMelt: jsat.linear.vectorcollection.RandomBallCover [100%] (Java API)
  94. DataMelt DMelt: jsat.linear.vectorcollection.RandomBallCoverOneShot [100%] (Java API)
  95. DataMelt DMelt: jsat.linear.vectorcollection.SVPTree [100%] (Java API)
  96. DataMelt DMelt: jsat.linear.vectorcollection.ScoreDT [100%] (Java API)
  97. DataMelt DMelt: jsat.linear.vectorcollection.ScoreDTLazy [100%] (Java API)
  98. DataMelt DMelt: jsat.linear.vectorcollection.VPTree [100%] (Java API)
  99. DataMelt DMelt: jsat.linear.vectorcollection.VPTreeMV [100%] (Java API)
  100. DataMelt DMelt: jsat.linear.vectorcollection.VectorArray [100%] (Java API)
  101. HandWikiWiki: Book:Linear algebra [100%] (in title)
  102. DataMelt DataMelt API: h.xdot_linear_grad [100%] (Java API)
  103. Jython Jython Example: jnumeric.py [88%] Linear algebra using JNumeric
  104. HandWikiWiki: Tutorial:JMathLab/Equations (Linear Systems) [87%] (in title)
  105. Jython Jython Example: la4j_matrix_lin_eq.py [86%] Solving linear equitions and decomposition
  106. Jython Jython Example: stat_regression2.py [75%] Linear regression example II
  107. Java Java Example: BasicMatrixUsage.java [75%] Matrix manipulation with VectorZ
  108. Jython Jython Example: fit_linear_leastsqured.py [70%] Fitting data using defined linear function
  109. Jython Jython Example: matrix_lin_eq.py [70%] Solving system of linear equations using Jama
  110. Jython Jython Example: weka_linear_regression.py [70%] Weka classification using linear regressions and graph
  111. Jython Jython Example: la4j_matrix.py [62%] Create new dense, sparse matrix
  112. Jython Jython Example: matrix0.py [62%] Matrix calculations and operations using Java
  113. Jython Jython Example: matrix_4D.py [62%] Multidimensional matrix 3x3x3x3 in 4D and its operations
  114. Jython Jython Example: la4j_matrix_transf1.py [62%] Transforms on matrix (inversion, multiplications, etc.)
  115. Jython Jython Example: jplasma_Cholesky.py [62%] System of linear equations Cholesky method
  116. Jython Jython Example: la4j_matrix_transf2.py [62%] Transform a matrix using used-defined functions
  117. Jython Jython Example: matrix_ejml_2.py [62%] Matrix (dense) calculations using ejml
  118. Jython Jython Example: symbolic5.py [62%] Analytic symplification and system of linear equations
  119. Jython Jython Example: fit_hfitter3.py [62%] Non-linear fit of H2D histogram with HFitter
  120. Groovy Groovy Example: matrix_jscience.groovy [62%] Complex values and operations
  121. Jython Jython Example: matrix_ejml.py [62%] Create a simple matrix and then transpose and invert it
  122. Java Java Example: EightPoints01.java [62%] Experiments with self-organizing vectors
  123. Java Java Example: SparseMatrix.java [62%] Sparse matrix functionality in VectorZ
  124. Java Java Example: BasicVectorUsage.java [62%] Vectors created using VectorZ
  125. Jython Jython Example: matrix_ejml_vis.py [62%] Visualize a (dense) matrix
  126. Octave/Matlab Octave/Matlab Example: symb_eq2.m [62%] Solving linear equations using Jasymca
  127. Jython Jython Example: stat_regression1.py [62%] Linear regression example. Show predictions and confidence range
  128. Jython Jython Example: matrix_ejml_solve.py [61%] Linear solver for systems of the form A*x=b, where A and B are known and x is unknown
  129. Jython Jython Example: fit_temprature.py [50%] Fitting data using a complex function (non-linear regression)
  130. Jython Jython Example: mining_regression.py [50%] Data mining using a linear regression and predictions
  131. Jython Jython Example: matrix_ejml_io.py [50%] Matrix input/output using ejml
  132. Jython Jython Example: fit_interactive.py [50%] Interactive non-linear fit using HFit
  133. Jython Jython Example: jplasma_lu.py [50%] Solving a system of linear equations using LU fact
  134. Jython Jython Example: jnumeric_fft.py [50%] Fast Fourier Transform (FFT) using JNumeric
  135. Jython Jython Example: equa_apache.py [50%] Solving polynomial equations (quadratic, cubic etc.)
  136. Jython Jython Example: matrix1.py [50%] Dense matrix calculations using parallel cores (multithreaded)
  137. Jython Jython Example: fit_hfitter1.py [50%] Non-linear fits using he Chi2 method with HFitter
  138. Jython Jython Example: lalgebra_ujmp_random.py [50%] Making random matrix and viasualise it using UJMP package
  139. Jython Jython Example: lalgebra_ujmp.py [50%] Showing Mandelbrot matrix using UJMP package
  140. Jython Jython Example: lalgebra_sparse_show_jdml.py [50%] Creating ZERO sparce matrix, show and transpose with UJMP
  141. Jython Jython Example: lalgebra_ujmp_matrix.py [50%] Manipulations with sparse and dense matrix using UJMP
  142. Jython Jython Example: fit_hfitter2.py [50%] Non-linear fits with HFitter using signal+background assumption
  143. Jython Jython Example: regression_nonlinear.py [50%] Non-linear regression using fitter and visual representation
  144. Jython Jython Example: multi_dft.py [50%] Matrix operation using multiple cores with multithreading
  145. Jython Jython Example: classify_smv.py [50%] Support vector machine (SVM) binary linear classifier using Smile
  146. Jython Jython Example: classify_flq.py [50%] Classification using Fisher's Linear Discriminant (FLD)
  147. Jython Jython Example: classify_lda.py [50%] Classification using Linear discriminant analysis (LDA)
  148. Jython Jython Example: flanagan_fourier_transform.py [50%] Fourier transform to obtain a power spectrum using Flanagan
  149. Jython Jython Example: matrix_ejml_radom_vis.py [50%] Random matrix and its visualisation
  150. Jython Jython Example: javaview_vectors.py [50%] Add two vectors in 3D using JavaView library
  151. Jython Jython Example: javaview_roots_function.py [50%] Find roots of a function using JavaView
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