├── Readme.md ├── maxent.html ├── lbfgs.js ├── LICENSE ├── xregexp-all-min.js └── numeric-1.2.6.min.js /Readme.md: -------------------------------------------------------------------------------- 1 | ### A javascript implementation of L-BFGS 2 | 3 | The script `lbfgs.js` contains an implementation of the limited-memory BFGS optimizer. 4 | L-BFGS is commonly used for training in supervised Machine Learning tasks. 5 | To use it, call 6 | 7 | limitedMemoryBFGS(optimizable, parameters); 8 | 9 | where `optimizable` is an object that contains two methods, `getValue(parameters)` and `getGradient(parameters, gradient)`. 10 | The first function returns the value of an objective function, such as a log likelihood, given the specified parameter values. 11 | The second copies the gradient of that objective function at the specified parameters into the array `gradient`. 12 | I found that limiting memory allocations caused the single biggest gain in performance. 13 | 14 | This code is based on the implementation in Mallet. 15 | For a trivial example (the two-variable quadratic equation), these implementations produce identical results down to the last available decimal point. 16 | 17 | I've included an example of a Maximum Entropy classifier, in `maxent.html`. 18 | Look at the console output (the actual page is not very interesting!) to see the optimizer working. 19 | The tokenization and MaxEnt value/gradient implementations are not the same as Mallet. 20 | Mallet is about two to three times faster, but I suspect that much of this is due to the fact that javascript is not good with int-int maps, so I'm running through document tokens in sequence, rather than as feature-count vectors. 21 | The sample file contains translations of Danish folktales, used with permission by the translator. 22 | 23 | The script depends on numeric.js and d3, but mainly for convenience methods, which could be trivially rewritten. 24 | I initially used more convenience functions from numeric.js, but found that it was often substantially faster to write them as for-loops. 25 | The XRegExp library is useful for parsing Unicode regular expressions, and has nothing particular to do with L-BFGS. -------------------------------------------------------------------------------- /maxent.html: -------------------------------------------------------------------------------- 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 20 | 21 | 22 | 27 | 28 |
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31 | 32 | 208 | 209 | 210 | -------------------------------------------------------------------------------- /lbfgs.js: -------------------------------------------------------------------------------- 1 | function copyInto(target, source) { 2 | for (var i = 0; i < source.length; i++) { 3 | target[i] = source[i]; 4 | } 5 | } 6 | 7 | function limitedMemoryBFGS(optimizable, parameters) { 8 | var lbfgsStart = +new Date(); 9 | 10 | var converged = false; 11 | var maxIterations = 1000; 12 | var tolerance = 0.0001; 13 | var gradientTolerance = 0.001; 14 | var epsilon = 0.00001; 15 | 16 | var maxIterations = 100; 17 | var memorySize = 4; 18 | 19 | var numParameters = parameters.length; 20 | 21 | var gradient = numeric.rep([numParameters], 0.0); 22 | optimizable.getGradient(parameters, gradient); 23 | var oldGradient = numeric.clone(gradient); 24 | var oldParameters = numeric.clone(parameters); 25 | 26 | var direction = numeric.clone(gradient); 27 | 28 | // Project direction to the l2 ball 29 | numeric.diveq(direction, numeric.norm2(direction)); 30 | 31 | var parameterChangeBuffer = []; // "s" 32 | var gradientChangeBuffer = []; // "y" 33 | var scaleBuffer = []; // "rho" 34 | 35 | // Initial step, do a line search in the direction of the gradient 36 | var scale = backtrackingLineSearch(optimizable, direction, gradient, parameters); 37 | 38 | // "parameters" has now been updated, so get a new value and gradient 39 | var value = optimizable.getValue(parameters); 40 | gradient = optimizable.getGradient(parameters, gradient); 41 | 42 | var oldValue = value; 43 | 44 | if (scale == 0.0) { 45 | console.log("Line search can't step in initial direction."); 46 | } 47 | 48 | for (var iteration = 0; iteration < maxIterations; iteration++) { 49 | var start = +new Date(); 50 | var end; 51 | 52 | console.log("Beginning L-BFGS iteration, v=" + value + " ||g||=" + numeric.norm2(gradient)); 53 | 54 | // Update the buffers with diffs 55 | if (parameterChangeBuffer.length < memorySize) { 56 | // If the buffer isn't full yet, add new arrays 57 | parameterChangeBuffer.unshift(numeric.sub(parameters, oldParameters)); 58 | gradientChangeBuffer.unshift(numeric.sub(gradient, oldGradient)); 59 | } 60 | else { 61 | // Otherwise, reuse the memory from the last array 62 | var parameterChange = parameterChangeBuffer.pop(); 63 | var gradientChange = gradientChangeBuffer.pop(); 64 | for (var i = 0; i < numParameters; i++) { 65 | parameterChange[i] = parameters[i] - oldParameters[i]; 66 | gradientChange[i] = gradient[i] - oldGradient[i]; 67 | } 68 | parameterChangeBuffer.unshift(parameterChange); 69 | gradientChangeBuffer.unshift(gradientChange); 70 | } 71 | 72 | // Save the old values. Gradient will be overwritten, then parameters. 73 | copyInto(oldParameters, parameters); 74 | copyInto(oldGradient, gradient); 75 | 76 | var sy = 0.0; 77 | var yy = 0.0; 78 | for (var i = 0; i < numParameters; i++) { 79 | sy += parameterChangeBuffer[0][i] * gradientChangeBuffer[0][i]; 80 | yy += gradientChangeBuffer[0][i] * gradientChangeBuffer[0][i]; 81 | } 82 | var scalingFactor = sy / yy; 83 | scaleBuffer.unshift(1.0 / sy); 84 | 85 | if (scalingFactor > 0.0) { console.log("Scaling factor greater than zero: " + scalingFactor); } 86 | 87 | // Renaming the "gradient" array to "direction" -- but it's the same memory. 88 | copyInto(direction, gradient); 89 | 90 | // Forward pass, from newest to oldest 91 | var alpha = []; 92 | for (var step = 0; step < parameterChangeBuffer.length; step++) { 93 | var currentAlpha = 0.0; 94 | for (var i = 0; i < numParameters; i++) { 95 | currentAlpha += parameterChangeBuffer[step][i] * direction[i]; 96 | } 97 | currentAlpha *= scaleBuffer[step]; 98 | 99 | //var currentAlpha = scaleBuffer[step] * numeric.dot(parameterChangeBuffer[step], direction) 100 | alpha.push(currentAlpha); 101 | for (var i = 0; i < numParameters; i++) { 102 | direction[i] += gradientChangeBuffer[step][i] * -currentAlpha; 103 | } 104 | } 105 | 106 | for (var i = 0; i < numParameters; i++) { 107 | direction[i] *= scalingFactor; 108 | } 109 | 110 | // Backward pass, from oldest to newest 111 | for (var step = parameterChangeBuffer.length - 1; step >= 0; step--) { 112 | var beta = 0.0; 113 | for (var i = 0; i < numParameters; i++) { 114 | beta += gradientChangeBuffer[step][i] * direction[i]; 115 | } 116 | beta *= scaleBuffer[step]; 117 | 118 | var currentAlpha = alpha[step]; 119 | for (var i = 0; i < numParameters; i++) { 120 | direction[i] += parameterChangeBuffer[step][i] * (currentAlpha - beta); 121 | } 122 | } 123 | 124 | // Negate the direction, to maximize rather than minimize 125 | for (var i = 0; i < numParameters; i++) { 126 | direction[i] = -direction[i]; 127 | } 128 | 129 | scale = backtrackingLineSearch(optimizable, direction, gradient, parameters); 130 | if (scale == 0.0) { 131 | console.log("Cannot step in current direction"); 132 | } 133 | 134 | value = optimizable.getValue(parameters); 135 | gradient = optimizable.getGradient(parameters, gradient); 136 | 137 | // Test for convergence 138 | if (2.0 * (value - oldValue) <= tolerance * (Math.abs(value) + Math.abs(oldValue) + epsilon)) { 139 | console.log("Value difference below threshold: " + value + " - " + oldValue); 140 | end = +new Date(); 141 | console.log("Finished iterations " + (end - lbfgsStart)); 142 | return true; 143 | } 144 | 145 | var gradientNorm = numeric.norm2(gradient); 146 | if (gradientNorm < gradientTolerance) { 147 | console.log("Gradient norm below threshold: " + gradientNorm); 148 | end = +new Date(); 149 | console.log("Finished iterations " + (end - lbfgsStart)); 150 | return true; 151 | } 152 | else if (gradientNorm == 0.0) { 153 | console.log("Gradient norm is zero"); 154 | end = +new Date(); 155 | console.log("Finished iterations " + (end - lbfgsStart)); 156 | return true; 157 | } 158 | 159 | oldValue = value; 160 | 161 | } 162 | 163 | end = +new Date(); 164 | console.log("Finished iterations " + (end - lbfgsStart)); 165 | return true; 166 | } 167 | 168 | function backtrackingLineSearch(optimizable, direction, gradient, parameters) { 169 | var numParameters = parameters.length; 170 | 171 | var MAXIMUM_STEP = 100.0; 172 | var RELATIVE_TOLERANCE = 0.0001; 173 | var DECREASE_FRACTION = 0.0001; 174 | 175 | var oldScale = 0.0; 176 | var scale = 1.0; 177 | var newScale = 0.0; 178 | 179 | var originalValue = optimizable.getValue(parameters); 180 | var oldValue = originalValue; 181 | 182 | // Make sure the initial step size isn't too big 183 | var twoNorm = numeric.norm2(direction); 184 | if (twoNorm > MAXIMUM_STEP) { 185 | console.log("Initial step " + twoNorm + " is too big, reducing") 186 | numeric.muleq(direction, MAXIMUM_STEP / twoNorm); 187 | } 188 | 189 | // Get the initial slope of the function of the scale. 190 | var slope = 0.0; 191 | for (var i = 0; i < numParameters; i++) { 192 | slope += gradient[i] * direction[i]; 193 | } 194 | 195 | // Find the minimum acceptable scale value. 196 | var maxValue = 0.0; 197 | for (var i = 0; i < numParameters; i++) { 198 | var v = Math.abs( direction[i] / Math.max(Math.abs(parameters[i]), 1.0) ); 199 | if (v > maxValue) { maxValue = v; } 200 | } 201 | var minimumScale = RELATIVE_TOLERANCE / maxValue; 202 | 203 | for (var iteration = 0; iteration < 25; iteration++) { 204 | for (var i = 0; i < numParameters; i++) { 205 | parameters[i] += (scale - oldScale) * direction[i]; 206 | } 207 | 208 | if (scale < minimumScale) { 209 | console.log("Step too small, exiting."); 210 | return 0.0; 211 | } 212 | 213 | var value = optimizable.getValue(parameters); 214 | 215 | if (value >= originalValue + DECREASE_FRACTION * scale * slope) { 216 | //console.log("Exiting line search at value " + value); 217 | return scale; 218 | } 219 | else if (! isFinite(value)) { 220 | newScale = 0.2 * scale; 221 | } 222 | else { 223 | if (scale == 1.0) { 224 | // This is only true if this is the first iteration (?) 225 | newScale = -slope / (2.0 * (value - originalValue - slope)); 226 | } 227 | else { 228 | var x1 = value - originalValue - scale * slope; 229 | var x2 = oldValue - originalValue - oldScale * slope; 230 | var oneOverScaleSquared = 1.0 / (scale * scale); 231 | var oneOverOldScaleSquared = 1.0 / (oldScale * oldScale); 232 | var oneOverScaleDiff = 1.0 / (scale - oldScale); 233 | 234 | var a = oneOverScaleDiff * (x1 * oneOverScaleSquared - x2 * oneOverOldScaleSquared); 235 | var b = oneOverScaleDiff * (-x1 * oldScale * oneOverScaleSquared + x2 * scale * oneOverOldScaleSquared); 236 | 237 | if (a == 0.0) { 238 | newScale = -slope / (2.0 * b); 239 | } 240 | else { 241 | var disc = b * b - 3.0 * a * slope; 242 | if (disc < 0.0) { newScale = 0.5 * scale; } 243 | else if (b <= 0.0) { newScale = (-b + Math.sqrt(disc)) / (3.0 * a); } 244 | else { newScale = -slope / (b + Math.sqrt(disc)); } 245 | } 246 | 247 | if (newScale > 0.5 * scale) { newScale = 0.5 * scale; } 248 | } 249 | 250 | } 251 | 252 | oldValue = value; 253 | oldScale = scale; 254 | scale = Math.max(newScale, 0.1 * scale); 255 | } 256 | } 257 | 258 | var quadratic = { 259 | getValue: function(parameters) { 260 | var x = parameters[0]; 261 | var y = parameters[1]; 262 | 263 | return -3*x*x - 4*y*y + 2*x - 4*y + 18; 264 | }, 265 | 266 | getGradient: function (parameters, gradient) { 267 | gradient[0] = -6 * parameters[0] + 2; 268 | gradient[1] = -8 * parameters[1] - 4; 269 | return gradient; 270 | } 271 | }; 272 | 273 | function doubleExp (n) { 274 | var x = Array(n); 275 | for (var i = 0; i < n; i++) { 276 | x[i] = Math.log(Math.random()) * ( Math.random() > 0.5 ? 1.0 : -1.0 ); 277 | } 278 | return x; 279 | } 280 | 281 | var ridgeRegression = { 282 | covariates: [], 283 | responses: [], 284 | originalParameters: doubleExp(100), 285 | 286 | sample: function (n, noise) { 287 | for (var i = 0; i < n; i++) { 288 | var x = doubleExp(100); 289 | this.responses.push(numeric.dot(x, this.originalParameters) + noise()); 290 | this.covariates.push(x); 291 | } 292 | }, 293 | 294 | getValue: function(parameters) { 295 | var logLikelihood = 0.0; 296 | for (var i = 0; i < this.covariates.length; i++) { 297 | var residual = this.responses[i] - numeric.dot(this.covariates[i], parameters); 298 | logLikelihood += -0.5 * residual * residual; 299 | } 300 | return logLikelihood; 301 | }, 302 | 303 | getGradient: function(parameters, gradient) { 304 | for (var i = 0; i < this.covariates.length; i++) { 305 | var residual = this.responses[i] - numeric.dot(this.covariates[i], parameters); 306 | numeric.addeq(gradient, numeric.mul(this.covariates[i], residual)); 307 | } 308 | return gradient; 309 | } 310 | }; -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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7 | //XRegExp Unicode Scripts 1.2.0 8 | (function(n){"use strict";if(!n.addUnicodePackage)throw new ReferenceError("Unicode Base must be loaded before Unicode Scripts");n.install("extensibility"),n.addUnicodePackage({Arabic:"0600-06040606-060B060D-061A061E0620-063F0641-064A0656-065E066A-066F0671-06DC06DE-06FF0750-077F08A008A2-08AC08E4-08FEFB50-FBC1FBD3-FD3DFD50-FD8FFD92-FDC7FDF0-FDFCFE70-FE74FE76-FEFC",Armenian:"0531-05560559-055F0561-0587058A058FFB13-FB17",Balinese:"1B00-1B4B1B50-1B7C",Bamum:"A6A0-A6F7",Batak:"1BC0-1BF31BFC-1BFF",Bengali:"0981-09830985-098C098F09900993-09A809AA-09B009B209B6-09B909BC-09C409C709C809CB-09CE09D709DC09DD09DF-09E309E6-09FB",Bopomofo:"02EA02EB3105-312D31A0-31BA",Braille:"2800-28FF",Buginese:"1A00-1A1B1A1E1A1F",Buhid:"1740-1753",Canadian_Aboriginal:"1400-167F18B0-18F5",Cham:"AA00-AA36AA40-AA4DAA50-AA59AA5C-AA5F",Cherokee:"13A0-13F4",Common:"0000-0040005B-0060007B-00A900AB-00B900BB-00BF00D700F702B9-02DF02E5-02E902EC-02FF0374037E038503870589060C061B061F06400660-066906DD096409650E3F0FD5-0FD810FB16EB-16ED173517361802180318051CD31CE11CE9-1CEC1CEE-1CF31CF51CF62000-200B200E-2064206A-20702074-207E2080-208E20A0-20B92100-21252127-2129212C-21312133-214D214F-215F21892190-23F32400-24262440-244A2460-26FF2701-27FF2900-2B4C2B50-2B592E00-2E3B2FF0-2FFB3000-300430063008-30203030-3037303C-303F309B309C30A030FB30FC3190-319F31C0-31E33220-325F327F-32CF3358-33FF4DC0-4DFFA700-A721A788-A78AA830-A839FD3EFD3FFDFDFE10-FE19FE30-FE52FE54-FE66FE68-FE6BFEFFFF01-FF20FF3B-FF40FF5B-FF65FF70FF9EFF9FFFE0-FFE6FFE8-FFEEFFF9-FFFD",Coptic:"03E2-03EF2C80-2CF32CF9-2CFF",Cyrillic:"0400-04840487-05271D2B1D782DE0-2DFFA640-A697A69F",Devanagari:"0900-09500953-09630966-09770979-097FA8E0-A8FB",Ethiopic:"1200-1248124A-124D1250-12561258125A-125D1260-1288128A-128D1290-12B012B2-12B512B8-12BE12C012C2-12C512C8-12D612D8-13101312-13151318-135A135D-137C1380-13992D80-2D962DA0-2DA62DA8-2DAE2DB0-2DB62DB8-2DBE2DC0-2DC62DC8-2DCE2DD0-2DD62DD8-2DDEAB01-AB06AB09-AB0EAB11-AB16AB20-AB26AB28-AB2E",Georgian:"10A0-10C510C710CD10D0-10FA10FC-10FF2D00-2D252D272D2D",Glagolitic:"2C00-2C2E2C30-2C5E",Greek:"0370-03730375-0377037A-037D038403860388-038A038C038E-03A103A3-03E103F0-03FF1D26-1D2A1D5D-1D611D66-1D6A1DBF1F00-1F151F18-1F1D1F20-1F451F48-1F4D1F50-1F571F591F5B1F5D1F5F-1F7D1F80-1FB41FB6-1FC41FC6-1FD31FD6-1FDB1FDD-1FEF1FF2-1FF41FF6-1FFE2126",Gujarati:"0A81-0A830A85-0A8D0A8F-0A910A93-0AA80AAA-0AB00AB20AB30AB5-0AB90ABC-0AC50AC7-0AC90ACB-0ACD0AD00AE0-0AE30AE6-0AF1",Gurmukhi:"0A01-0A030A05-0A0A0A0F0A100A13-0A280A2A-0A300A320A330A350A360A380A390A3C0A3E-0A420A470A480A4B-0A4D0A510A59-0A5C0A5E0A66-0A75",Han:"2E80-2E992E9B-2EF32F00-2FD5300530073021-30293038-303B3400-4DB54E00-9FCCF900-FA6DFA70-FAD9",Hangul:"1100-11FF302E302F3131-318E3200-321E3260-327EA960-A97CAC00-D7A3D7B0-D7C6D7CB-D7FBFFA0-FFBEFFC2-FFC7FFCA-FFCFFFD2-FFD7FFDA-FFDC",Hanunoo:"1720-1734",Hebrew:"0591-05C705D0-05EA05F0-05F4FB1D-FB36FB38-FB3CFB3EFB40FB41FB43FB44FB46-FB4F",Hiragana:"3041-3096309D-309F",Inherited:"0300-036F04850486064B-0655065F0670095109521CD0-1CD21CD4-1CE01CE2-1CE81CED1CF41DC0-1DE61DFC-1DFF200C200D20D0-20F0302A-302D3099309AFE00-FE0FFE20-FE26",Javanese:"A980-A9CDA9CF-A9D9A9DEA9DF",Kannada:"0C820C830C85-0C8C0C8E-0C900C92-0CA80CAA-0CB30CB5-0CB90CBC-0CC40CC6-0CC80CCA-0CCD0CD50CD60CDE0CE0-0CE30CE6-0CEF0CF10CF2",Katakana:"30A1-30FA30FD-30FF31F0-31FF32D0-32FE3300-3357FF66-FF6FFF71-FF9D",Kayah_Li:"A900-A92F",Khmer:"1780-17DD17E0-17E917F0-17F919E0-19FF",Lao:"0E810E820E840E870E880E8A0E8D0E94-0E970E99-0E9F0EA1-0EA30EA50EA70EAA0EAB0EAD-0EB90EBB-0EBD0EC0-0EC40EC60EC8-0ECD0ED0-0ED90EDC-0EDF",Latin:"0041-005A0061-007A00AA00BA00C0-00D600D8-00F600F8-02B802E0-02E41D00-1D251D2C-1D5C1D62-1D651D6B-1D771D79-1DBE1E00-1EFF2071207F2090-209C212A212B2132214E2160-21882C60-2C7FA722-A787A78B-A78EA790-A793A7A0-A7AAA7F8-A7FFFB00-FB06FF21-FF3AFF41-FF5A",Lepcha:"1C00-1C371C3B-1C491C4D-1C4F",Limbu:"1900-191C1920-192B1930-193B19401944-194F",Lisu:"A4D0-A4FF",Malayalam:"0D020D030D05-0D0C0D0E-0D100D12-0D3A0D3D-0D440D46-0D480D4A-0D4E0D570D60-0D630D66-0D750D79-0D7F",Mandaic:"0840-085B085E",Meetei_Mayek:"AAE0-AAF6ABC0-ABEDABF0-ABF9",Mongolian:"1800180118041806-180E1810-18191820-18771880-18AA",Myanmar:"1000-109FAA60-AA7B",New_Tai_Lue:"1980-19AB19B0-19C919D0-19DA19DE19DF",Nko:"07C0-07FA",Ogham:"1680-169C",Ol_Chiki:"1C50-1C7F",Oriya:"0B01-0B030B05-0B0C0B0F0B100B13-0B280B2A-0B300B320B330B35-0B390B3C-0B440B470B480B4B-0B4D0B560B570B5C0B5D0B5F-0B630B66-0B77",Phags_Pa:"A840-A877",Rejang:"A930-A953A95F",Runic:"16A0-16EA16EE-16F0",Samaritan:"0800-082D0830-083E",Saurashtra:"A880-A8C4A8CE-A8D9",Sinhala:"0D820D830D85-0D960D9A-0DB10DB3-0DBB0DBD0DC0-0DC60DCA0DCF-0DD40DD60DD8-0DDF0DF2-0DF4",Sundanese:"1B80-1BBF1CC0-1CC7",Syloti_Nagri:"A800-A82B",Syriac:"0700-070D070F-074A074D-074F",Tagalog:"1700-170C170E-1714",Tagbanwa:"1760-176C176E-177017721773",Tai_Le:"1950-196D1970-1974",Tai_Tham:"1A20-1A5E1A60-1A7C1A7F-1A891A90-1A991AA0-1AAD",Tai_Viet:"AA80-AAC2AADB-AADF",Tamil:"0B820B830B85-0B8A0B8E-0B900B92-0B950B990B9A0B9C0B9E0B9F0BA30BA40BA8-0BAA0BAE-0BB90BBE-0BC20BC6-0BC80BCA-0BCD0BD00BD70BE6-0BFA",Telugu:"0C01-0C030C05-0C0C0C0E-0C100C12-0C280C2A-0C330C35-0C390C3D-0C440C46-0C480C4A-0C4D0C550C560C580C590C60-0C630C66-0C6F0C78-0C7F",Thaana:"0780-07B1",Thai:"0E01-0E3A0E40-0E5B",Tibetan:"0F00-0F470F49-0F6C0F71-0F970F99-0FBC0FBE-0FCC0FCE-0FD40FD90FDA",Tifinagh:"2D30-2D672D6F2D702D7F",Vai:"A500-A62B",Yi:"A000-A48CA490-A4C6"})})(XRegExp); 9 | //XRegExp Unicode Blocks 1.2.0 10 | (function(n){"use strict";if(!n.addUnicodePackage)throw new ReferenceError("Unicode Base must be loaded before Unicode Blocks");n.install("extensibility"),n.addUnicodePackage({InBasic_Latin:"0000-007F",InLatin_1_Supplement:"0080-00FF",InLatin_Extended_A:"0100-017F",InLatin_Extended_B:"0180-024F",InIPA_Extensions:"0250-02AF",InSpacing_Modifier_Letters:"02B0-02FF",InCombining_Diacritical_Marks:"0300-036F",InGreek_and_Coptic:"0370-03FF",InCyrillic:"0400-04FF",InCyrillic_Supplement:"0500-052F",InArmenian:"0530-058F",InHebrew:"0590-05FF",InArabic:"0600-06FF",InSyriac:"0700-074F",InArabic_Supplement:"0750-077F",InThaana:"0780-07BF",InNKo:"07C0-07FF",InSamaritan:"0800-083F",InMandaic:"0840-085F",InArabic_Extended_A:"08A0-08FF",InDevanagari:"0900-097F",InBengali:"0980-09FF",InGurmukhi:"0A00-0A7F",InGujarati:"0A80-0AFF",InOriya:"0B00-0B7F",InTamil:"0B80-0BFF",InTelugu:"0C00-0C7F",InKannada:"0C80-0CFF",InMalayalam:"0D00-0D7F",InSinhala:"0D80-0DFF",InThai:"0E00-0E7F",InLao:"0E80-0EFF",InTibetan:"0F00-0FFF",InMyanmar:"1000-109F",InGeorgian:"10A0-10FF",InHangul_Jamo:"1100-11FF",InEthiopic:"1200-137F",InEthiopic_Supplement:"1380-139F",InCherokee:"13A0-13FF",InUnified_Canadian_Aboriginal_Syllabics:"1400-167F",InOgham:"1680-169F",InRunic:"16A0-16FF",InTagalog:"1700-171F",InHanunoo:"1720-173F",InBuhid:"1740-175F",InTagbanwa:"1760-177F",InKhmer:"1780-17FF",InMongolian:"1800-18AF",InUnified_Canadian_Aboriginal_Syllabics_Extended:"18B0-18FF",InLimbu:"1900-194F",InTai_Le:"1950-197F",InNew_Tai_Lue:"1980-19DF",InKhmer_Symbols:"19E0-19FF",InBuginese:"1A00-1A1F",InTai_Tham:"1A20-1AAF",InBalinese:"1B00-1B7F",InSundanese:"1B80-1BBF",InBatak:"1BC0-1BFF",InLepcha:"1C00-1C4F",InOl_Chiki:"1C50-1C7F",InSundanese_Supplement:"1CC0-1CCF",InVedic_Extensions:"1CD0-1CFF",InPhonetic_Extensions:"1D00-1D7F",InPhonetic_Extensions_Supplement:"1D80-1DBF",InCombining_Diacritical_Marks_Supplement:"1DC0-1DFF",InLatin_Extended_Additional:"1E00-1EFF",InGreek_Extended:"1F00-1FFF",InGeneral_Punctuation:"2000-206F",InSuperscripts_and_Subscripts:"2070-209F",InCurrency_Symbols:"20A0-20CF",InCombining_Diacritical_Marks_for_Symbols:"20D0-20FF",InLetterlike_Symbols:"2100-214F",InNumber_Forms:"2150-218F",InArrows:"2190-21FF",InMathematical_Operators:"2200-22FF",InMiscellaneous_Technical:"2300-23FF",InControl_Pictures:"2400-243F",InOptical_Character_Recognition:"2440-245F",InEnclosed_Alphanumerics:"2460-24FF",InBox_Drawing:"2500-257F",InBlock_Elements:"2580-259F",InGeometric_Shapes:"25A0-25FF",InMiscellaneous_Symbols:"2600-26FF",InDingbats:"2700-27BF",InMiscellaneous_Mathematical_Symbols_A:"27C0-27EF",InSupplemental_Arrows_A:"27F0-27FF",InBraille_Patterns:"2800-28FF",InSupplemental_Arrows_B:"2900-297F",InMiscellaneous_Mathematical_Symbols_B:"2980-29FF",InSupplemental_Mathematical_Operators:"2A00-2AFF",InMiscellaneous_Symbols_and_Arrows:"2B00-2BFF",InGlagolitic:"2C00-2C5F",InLatin_Extended_C:"2C60-2C7F",InCoptic:"2C80-2CFF",InGeorgian_Supplement:"2D00-2D2F",InTifinagh:"2D30-2D7F",InEthiopic_Extended:"2D80-2DDF",InCyrillic_Extended_A:"2DE0-2DFF",InSupplemental_Punctuation:"2E00-2E7F",InCJK_Radicals_Supplement:"2E80-2EFF",InKangxi_Radicals:"2F00-2FDF",InIdeographic_Description_Characters:"2FF0-2FFF",InCJK_Symbols_and_Punctuation:"3000-303F",InHiragana:"3040-309F",InKatakana:"30A0-30FF",InBopomofo:"3100-312F",InHangul_Compatibility_Jamo:"3130-318F",InKanbun:"3190-319F",InBopomofo_Extended:"31A0-31BF",InCJK_Strokes:"31C0-31EF",InKatakana_Phonetic_Extensions:"31F0-31FF",InEnclosed_CJK_Letters_and_Months:"3200-32FF",InCJK_Compatibility:"3300-33FF",InCJK_Unified_Ideographs_Extension_A:"3400-4DBF",InYijing_Hexagram_Symbols:"4DC0-4DFF",InCJK_Unified_Ideographs:"4E00-9FFF",InYi_Syllables:"A000-A48F",InYi_Radicals:"A490-A4CF",InLisu:"A4D0-A4FF",InVai:"A500-A63F",InCyrillic_Extended_B:"A640-A69F",InBamum:"A6A0-A6FF",InModifier_Tone_Letters:"A700-A71F",InLatin_Extended_D:"A720-A7FF",InSyloti_Nagri:"A800-A82F",InCommon_Indic_Number_Forms:"A830-A83F",InPhags_pa:"A840-A87F",InSaurashtra:"A880-A8DF",InDevanagari_Extended:"A8E0-A8FF",InKayah_Li:"A900-A92F",InRejang:"A930-A95F",InHangul_Jamo_Extended_A:"A960-A97F",InJavanese:"A980-A9DF",InCham:"AA00-AA5F",InMyanmar_Extended_A:"AA60-AA7F",InTai_Viet:"AA80-AADF",InMeetei_Mayek_Extensions:"AAE0-AAFF",InEthiopic_Extended_A:"AB00-AB2F",InMeetei_Mayek:"ABC0-ABFF",InHangul_Syllables:"AC00-D7AF",InHangul_Jamo_Extended_B:"D7B0-D7FF",InHigh_Surrogates:"D800-DB7F",InHigh_Private_Use_Surrogates:"DB80-DBFF",InLow_Surrogates:"DC00-DFFF",InPrivate_Use_Area:"E000-F8FF",InCJK_Compatibility_Ideographs:"F900-FAFF",InAlphabetic_Presentation_Forms:"FB00-FB4F",InArabic_Presentation_Forms_A:"FB50-FDFF",InVariation_Selectors:"FE00-FE0F",InVertical_Forms:"FE10-FE1F",InCombining_Half_Marks:"FE20-FE2F",InCJK_Compatibility_Forms:"FE30-FE4F",InSmall_Form_Variants:"FE50-FE6F",InArabic_Presentation_Forms_B:"FE70-FEFF",InHalfwidth_and_Fullwidth_Forms:"FF00-FFEF",InSpecials:"FFF0-FFFF"})})(XRegExp); 11 | //XRegExp Unicode Properties 1.0.0 12 | (function(n){"use strict";if(!n.addUnicodePackage)throw new ReferenceError("Unicode Base must be loaded before Unicode Properties");n.install("extensibility"),n.addUnicodePackage({Alphabetic:"0041-005A0061-007A00AA00B500BA00C0-00D600D8-00F600F8-02C102C6-02D102E0-02E402EC02EE03450370-037403760377037A-037D03860388-038A038C038E-03A103A3-03F503F7-0481048A-05270531-055605590561-058705B0-05BD05BF05C105C205C405C505C705D0-05EA05F0-05F20610-061A0620-06570659-065F066E-06D306D5-06DC06E1-06E806ED-06EF06FA-06FC06FF0710-073F074D-07B107CA-07EA07F407F507FA0800-0817081A-082C0840-085808A008A2-08AC08E4-08E908F0-08FE0900-093B093D-094C094E-09500955-09630971-09770979-097F0981-09830985-098C098F09900993-09A809AA-09B009B209B6-09B909BD-09C409C709C809CB09CC09CE09D709DC09DD09DF-09E309F009F10A01-0A030A05-0A0A0A0F0A100A13-0A280A2A-0A300A320A330A350A360A380A390A3E-0A420A470A480A4B0A4C0A510A59-0A5C0A5E0A70-0A750A81-0A830A85-0A8D0A8F-0A910A93-0AA80AAA-0AB00AB20AB30AB5-0AB90ABD-0AC50AC7-0AC90ACB0ACC0AD00AE0-0AE30B01-0B030B05-0B0C0B0F0B100B13-0B280B2A-0B300B320B330B35-0B390B3D-0B440B470B480B4B0B4C0B560B570B5C0B5D0B5F-0B630B710B820B830B85-0B8A0B8E-0B900B92-0B950B990B9A0B9C0B9E0B9F0BA30BA40BA8-0BAA0BAE-0BB90BBE-0BC20BC6-0BC80BCA-0BCC0BD00BD70C01-0C030C05-0C0C0C0E-0C100C12-0C280C2A-0C330C35-0C390C3D-0C440C46-0C480C4A-0C4C0C550C560C580C590C60-0C630C820C830C85-0C8C0C8E-0C900C92-0CA80CAA-0CB30CB5-0CB90CBD-0CC40CC6-0CC80CCA-0CCC0CD50CD60CDE0CE0-0CE30CF10CF20D020D030D05-0D0C0D0E-0D100D12-0D3A0D3D-0D440D46-0D480D4A-0D4C0D4E0D570D60-0D630D7A-0D7F0D820D830D85-0D960D9A-0DB10DB3-0DBB0DBD0DC0-0DC60DCF-0DD40DD60DD8-0DDF0DF20DF30E01-0E3A0E40-0E460E4D0E810E820E840E870E880E8A0E8D0E94-0E970E99-0E9F0EA1-0EA30EA50EA70EAA0EAB0EAD-0EB90EBB-0EBD0EC0-0EC40EC60ECD0EDC-0EDF0F000F40-0F470F49-0F6C0F71-0F810F88-0F970F99-0FBC1000-10361038103B-103F1050-10621065-1068106E-1086108E109C109D10A0-10C510C710CD10D0-10FA10FC-1248124A-124D1250-12561258125A-125D1260-1288128A-128D1290-12B012B2-12B512B8-12BE12C012C2-12C512C8-12D612D8-13101312-13151318-135A135F1380-138F13A0-13F41401-166C166F-167F1681-169A16A0-16EA16EE-16F01700-170C170E-17131720-17331740-17531760-176C176E-1770177217731780-17B317B6-17C817D717DC1820-18771880-18AA18B0-18F51900-191C1920-192B1930-19381950-196D1970-19741980-19AB19B0-19C91A00-1A1B1A20-1A5E1A61-1A741AA71B00-1B331B35-1B431B45-1B4B1B80-1BA91BAC-1BAF1BBA-1BE51BE7-1BF11C00-1C351C4D-1C4F1C5A-1C7D1CE9-1CEC1CEE-1CF31CF51CF61D00-1DBF1E00-1F151F18-1F1D1F20-1F451F48-1F4D1F50-1F571F591F5B1F5D1F5F-1F7D1F80-1FB41FB6-1FBC1FBE1FC2-1FC41FC6-1FCC1FD0-1FD31FD6-1FDB1FE0-1FEC1FF2-1FF41FF6-1FFC2071207F2090-209C21022107210A-211321152119-211D212421262128212A-212D212F-2139213C-213F2145-2149214E2160-218824B6-24E92C00-2C2E2C30-2C5E2C60-2CE42CEB-2CEE2CF22CF32D00-2D252D272D2D2D30-2D672D6F2D80-2D962DA0-2DA62DA8-2DAE2DB0-2DB62DB8-2DBE2DC0-2DC62DC8-2DCE2DD0-2DD62DD8-2DDE2DE0-2DFF2E2F3005-30073021-30293031-30353038-303C3041-3096309D-309F30A1-30FA30FC-30FF3105-312D3131-318E31A0-31BA31F0-31FF3400-4DB54E00-9FCCA000-A48CA4D0-A4FDA500-A60CA610-A61FA62AA62BA640-A66EA674-A67BA67F-A697A69F-A6EFA717-A71FA722-A788A78B-A78EA790-A793A7A0-A7AAA7F8-A801A803-A805A807-A80AA80C-A827A840-A873A880-A8C3A8F2-A8F7A8FBA90A-A92AA930-A952A960-A97CA980-A9B2A9B4-A9BFA9CFAA00-AA36AA40-AA4DAA60-AA76AA7AAA80-AABEAAC0AAC2AADB-AADDAAE0-AAEFAAF2-AAF5AB01-AB06AB09-AB0EAB11-AB16AB20-AB26AB28-AB2EABC0-ABEAAC00-D7A3D7B0-D7C6D7CB-D7FBF900-FA6DFA70-FAD9FB00-FB06FB13-FB17FB1D-FB28FB2A-FB36FB38-FB3CFB3EFB40FB41FB43FB44FB46-FBB1FBD3-FD3DFD50-FD8FFD92-FDC7FDF0-FDFBFE70-FE74FE76-FEFCFF21-FF3AFF41-FF5AFF66-FFBEFFC2-FFC7FFCA-FFCFFFD2-FFD7FFDA-FFDC",Uppercase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13 | //XRegExp.matchRecursive 0.2.0 14 | (function(n){"use strict";function t(n,t,i,r){return{value:n,name:t,start:i,end:r}}n.matchRecursive=function(i,r,u,f,e){f=f||"",e=e||{};var g=f.indexOf("g")>-1,nt=f.indexOf("y")>-1,d=f.replace(/y/g,""),y=e.escapeChar,o=e.valueNames,v=[],b=0,h=0,s=0,c=0,p,w,l,a,k;if(r=n(r,d),u=n(u,d),y){if(y.length>1)throw new SyntaxError("can't use more than one escape character");y=n.escape(y),k=new RegExp("(?:"+y+"[\\S\\s]|(?:(?!"+n.union([r,u]).source+")[^"+y+"])+)+",f.replace(/[^im]+/g,""))}for(;;){if(y&&(s+=(n.exec(i,k,s,"sticky")||[""])[0].length),l=n.exec(i,r,s),a=n.exec(i,u,s),l&&a&&(l.index<=a.index?a=null:l=null),l||a)h=(l||a).index,s=h+(l||a)[0].length;else if(!b)break;if(nt&&!b&&h>c)break;if(l)b||(p=h,w=s),++b;else if(a&&b){if(!--b&&(o?(o[0]&&p>c&&v.push(t(o[0],i.slice(c,p),c,p)),o[1]&&v.push(t(o[1],i.slice(p,w),p,w)),o[2]&&v.push(t(o[2],i.slice(w,h),w,h)),o[3]&&v.push(t(o[3],i.slice(h,s),h,s))):v.push(i.slice(w,h)),c=s,!g))break}else throw new 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n},numeric.dim=function(t){var n,r;if(typeof t=="object")return n=t[0],typeof n=="object"?(r=n[0],typeof r=="object"?numeric._dim(t):[t.length,n.length]):[t.length];return[]},numeric.mapreduce=function(t,n){return Function("x","accum","_s","_k",'if(typeof accum === "undefined") accum = '+n+";\n"+'if(typeof x === "number") { var xi = x; '+t+"; return accum; }\n"+'if(typeof _s === "undefined") _s = numeric.dim(x);\n'+'if(typeof _k === "undefined") _k = 0;\n'+"var _n = _s[_k];\n"+"var i,xi;\n"+"if(_k < _s.length-1) {\n"+" for(i=_n-1;i>=0;i--) {\n"+" accum = arguments.callee(x[i],accum,_s,_k+1);\n"+" }"+" return accum;\n"+"}\n"+"for(i=_n-1;i>=1;i-=2) { \n"+" xi = x[i];\n"+" "+t+";\n"+" xi = x[i-1];\n"+" "+t+";\n"+"}\n"+"if(i === 0) {\n"+" xi = x[i];\n"+" "+t+"\n"+"}\n"+"return accum;")},numeric.mapreduce2=function(t,n){return Function("x","var n = x.length;\nvar i,xi;\n"+n+";\n"+"for(i=n-1;i!==-1;--i) { \n"+" xi = x[i];\n"+" "+t+";\n"+"}\n"+"return accum;")},numeric.same=function same(e,t){var n,r;if(e instanceof Array&&t instanceof Array){r=e.length;if(r!==t.length)return!1;for(n=0;n=0;o-=2)s[o+1]=n,s[o]=n;return o===-1&&(s[0]=n),s}for(o=i-1;o>=0;o--)s[o]=numeric.rep(t,n,r+1);return s},numeric.dotMMsmall=function(t,n){var r,i,s,o,u,a,f,l,c,h,p,d,v,m;o=t.length,u=n.length,a=n[0].length,f=Array(o);for(r=o-1;r>=0;r--){l=Array(a),c=t[r];for(s=a-1;s>=0;s--){h=c[u-1]*n[u-1][s];for(i=u-2;i>=1;i-=2)p=i-1,h+=c[i]*n[i][s]+c[p]*n[p][s];i===0&&(h+=c[0]*n[0][s]),l[s]=h}f[r]=l}return f},numeric._getCol=function(t,n,r){var i=t.length,s;for(s=i-1;s>0;--s)r[s]=t[s][n],--s,r[s]=t[s][n];s===0&&(r[0]=t[0][n])},numeric.dotMMbig=function(t,n){var r=numeric._getCol,i=n.length,s=Array(i),o=t.length,u=n[0].length,a=new Array(o),f,l=numeric.dotVV,c,h,p,d;--i,--o;for(c=o;c!==-1;--c)a[c]=Array(u);--u;for(c=u;c!==-1;--c){r(n,c,s);for(h=o;h!==-1;--h)d=0,f=t[h],a[h][c]=l(f,s)}return a},numeric.dotMV=function(t,n){var r=t.length,i=n.length,s,o=Array(r),u=numeric.dotVV;for(s=r-1;s>=0;s--)o[s]=u(t[s],n);return o},numeric.dotVM=function(t,n){var r,i,s,o,u,a,f,l,c,h,p,d,v,m,g,y,b,w,E;o=t.length,u=n[0].length,f=Array(u);for(s=u-1;s>=0;s--){h=t[o-1]*n[o-1][s];for(i=o-2;i>=1;i-=2)p=i-1,h+=t[i]*n[i][s]+t[p]*n[p][s];i===0&&(h+=t[0]*n[0][s]),f[s]=h}return f},numeric.dotVV=function(t,n){var r,i=t.length,s,o=t[i-1]*n[i-1];for(r=i-2;r>=1;r-=2)s=r-1,o+=t[r]*n[r]+t[s]*n[s];return r===0&&(o+=t[0]*n[0]),o},numeric.dot=function(t,n){var r=numeric.dim;switch(r(t).length*1e3+r(n).length){case 2002:return n.length<10?numeric.dotMMsmall(t,n):numeric.dotMMbig(t,n);case 2001:return numeric.dotMV(t,n);case 1002:return numeric.dotVM(t,n);case 1001:return numeric.dotVV(t,n);case 1e3:return numeric.mulVS(t,n);case 1:return numeric.mulSV(t,n);case 0:return t*n;default:throw new Error("numeric.dot only works on vectors and matrices")}},numeric.diag=function(t){var 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n=this.x,r=this.y,i=0,s,o=t.length;if(r){while(i=0?1:-1,i=r*numeric.norm2(t);n[0]+=i;var s=numeric.norm2(n);if(s===0)throw new Error("eig: internal error");return numeric.div(n,s)},numeric.toUpperHessenberg=function(t){var n=numeric.dim(t);if(n.length!==2||n[0]!==n[1])throw new Error("numeric: toUpperHessenberg() only works on square matrices");var r=n[0],i,s,o,u,a,f=numeric.clone(t),l,c,h,p,d=numeric.identity(r),v;for(s=0;s0){a=numeric.house(u),l=numeric.getBlock(f,[s+1,s],[r-1,r-1]),c=numeric.tensor(a,numeric.dot(a,l));for(i=s+1;i=4*c){var k,L;k=.5*(h+Math.sqrt(h*h-4*c)),L=.5*(h-Math.sqrt(h*h-4*c)),p=numeric.add(numeric.sub(numeric.dot(p,p),numeric.mul(p,k+L)),numeric.diag(numeric.rep([3],k*L)))}else 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f=t[0],l=t[1],c=t[2],h=f.length-1,p=0,d=n[0],v=n[1],m=n[2],g,y,b,w,E,S,x,T,N,C,k,L;y=d[s],b=d[s+1],i.length=0;for(g=y;gb&&(w=m,b=E)}C(h[k[d]])t[n]&&(t[n]=e.length);var r;for(r in e)e.hasOwnProperty(r)&&dim(e[r],t,n+1);return t},numeric.sclone=function clone(e,t,n){typeof t=="undefined"&&(t=0),typeof n=="undefined"&&(n=numeric.sdim(e).length);var r,i=Array(e.length);if(t===n-1){for(r in e)e.hasOwnProperty(r)&&(i[r]=e[r]);return i}for(r in e)e.hasOwnProperty(r)&&(i[r]=clone(e[r],t+1,n));return i},numeric.sdiag=function(t){var n=t.length,r,i=Array(n),s,o,u;for(r=n-1;r>=1;r-=2)s=r-1,i[r]=[],i[r][r]=t[r],i[s]=[],i[s][s]=t[s];return r===0&&(i[0]=[],i[0][0]=t[r]),i},numeric.sidentity=function(t){return numeric.sdiag(numeric.rep([t],1))},numeric.stranspose=function(t){var n=[],r=t.length,i,s,o;for(i in t){if(!t.hasOwnProperty(i))continue;o=t[i];for(s in o){if(!o.hasOwnProperty(s))continue;typeof n[s]!="object"&&(n[s]=[]),n[s][i]=o[s]}}return n},numeric.sLUP=function(t,n){throw new Error("The function numeric.sLUP had a bug in it and has been removed. 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numeric.sdotVM(t,n);case 2002:return numeric.sdotMM(t,n);default:throw new Error("numeric.sdot not implemented for tensors of order "+r+" and "+i)}},numeric.sscatter=function(t){var n=t[0].length,r,i,s,o=t.length,u=[],a;for(i=n-1;i>=0;--i){if(!t[o-1][i])continue;a=u;for(s=0;s=0;--i)t[i]=[];for(i=r;i>=0;--i)t[i].push(n[i]);t[r+1].push(s)}}else gather(s,t,n)}return n.length>r&&n.pop(),t},numeric.cLU=function(t){var n=t[0],r=t[1],i=t[2],s=n.length,o=0,u,a,f,l,c,h;for(u=0;uo&&(o=n[u]);o++;var p=Array(o),d=Array(o),v=numeric.rep([o],Infinity),m=numeric.rep([o],-Infinity),g,y,b;for(f=0;fm[u]&&(m[u]=a);for(u=0;um[u+1]&&(m[u+1]=m[u]);for(u=o-1;u>=1;u--)v[u]=0;v--){while(l[g]>v)s[v]-=c[g]*s[l[g]],g--;s[v]/=c[g],g--}return s},numeric.cgrid=function(t,n){typeof t=="number"&&(t=[t,t]);var r=numeric.rep(t,-1),i,s,o;if(typeof n!="function")switch(n){case"L":n=function(e,n){return e>=t[0]/2||nf&&(f=i[u]);f++,r=numeric.rep([f],0);for(u=0;u1)o=u((i+s)/2),n[o]<=t?i=o:s=o;return this._at(t,i)}var r=t.length,c,h=Array(r);for(c=r-1;c!==-1;--c)h[c]=this.at(t[c]);return h},numeric.Spline.prototype.diff=function(){var t=this.x,n=this.yl,r=this.yr,i=this.kl,s=this.kr,o=n.length,u,a,f,l=i,c=s,h=Array(o),p=Array(o),d=numeric.add,v=numeric.mul,m=numeric.div,g=numeric.sub;for(u=o-1;u!==-1;--u)a=t[u+1]-t[u],f=g(r[u+1],n[u]),h[u]=m(d(v(f,6),v(i[u],-4*a),v(s[u+1],-2*a)),a*a),p[u+1]=m(d(v(f,-6),v(i[u],2*a),v(s[u+1],4*a)),a*a);return new numeric.Spline(t,l,c,h,p)},numeric.Spline.prototype.roots=function(){function t(e){return e*e}function n(e,t,n,r,i){var s=n*2-(t-e),o=-r*2+(t-e),u=(i+1)*.5,a=u*(1-u);return(1-u)*e+u*t+s*a*(1-u)+o*a*u}var r=[],i=this.x,s=this.yl,o=this.yr,u=this.kl,a=this.kr;typeof s[0]=="number"&&(s=[s],o=[o],u=[u],a=[a]);var f=s.length,l=i.length-1,c,h,p,d,v,m,g,y,b,w,r=Array(f),E,S,x,T,N,C,k,L,A,O,M,_,D,P,H,B,j,F=Math.sqrt;for(c=0;c!==f;++c){g=s[c],y=o[c],b=u[c],w=a[c],E=[];for(h=0;h!==l;h++){h>0&&y[h]*g[h]<0&&E.push(i[h]),A=i[h+1]-i[h],O=i[h],T=g[h],N=y[h+1],S=b[h]/A,x=w[h+1]/A,L=t(S-x+3*(T-N))+12*x*T,C=x+3*T+2*S-3*N,k=3*(x+S+2*(T-N)),L<=0?(_=C/k,_>i[h]&&_i[h]&&_i[h]&&D0){H=B,_=D;continue}var I=0;for(;;){j=(_*B-D*H)/(_-D);if(j<=H||j>=B)break;P=this._at(j,h);if(P*D>0)B=j,D=P,I===-1&&(_*=.5),I=-1;else{if(!(P*_>0))break;H=j,_=P,I===1&&(D*=.5),I=1}}E.push(j),H=M[p+1],_=this._at(H,h)}D===0&&E.push(B)}r[c]=E}return typeof this.yl[0]=="number"?r[0]:r},numeric.spline=function(t,n,r,i){var s=t.length,o=[],u=[],a=[],f,l=numeric.sub,c=numeric.mul,h=numeric.add;for(f=s-2;f>=0;f--)u[f]=t[f+1]-t[f],a[f]=l(n[f+1],n[f]);if(typeof r=="string"||typeof i=="string")r=i="periodic";var p=[[],[],[]];switch(typeof r){case"undefined":o[0]=c(3/(u[0]*u[0]),a[0]),p[0].push(0,0),p[1].push(0,1),p[2].push(2/u[0],1/u[0]);break;case"string":o[0]=h(c(3/(u[s-2]*u[s-2]),a[s-2]),c(3/(u[0]*u[0]),a[0])),p[0].push(0,0,0),p[1].push(s-2,0,1),p[2].push(1/u[s-2],2/u[s-2]+2/u[0],1/u[0]);break;default:o[0]=r,p[0].push(0),p[1].push(0),p[2].push(1)}for(f=1;f20)throw new Error("Numerical gradient fails");u[o]=n[o]+N,a=t(u),u[o]=n[o]-N,f=t(u),u[o]=n[o];if(isNaN(a)||isNaN(f)){N/=16;continue}l[o]=(a-f)/(2*N),y=n[o]-N,b=n[o],w=n[o]+N,S=(a-i)/N,x=(i-f)/N,T=s(m(l[o]),m(i),m(a),m(f),m(y),m(b),m(w),1e-8),p=g(s(m(S-l[o]),m(x-l[o]),m(S-x))/T,N/T);if(!(p>v))break;N/=16}}return l},numeric.uncmin=function(t,n,r,i,s,o,u){var a=numeric.gradient;typeof u=="undefined"&&(u={}),typeof r=="undefined"&&(r=1e-8),typeof i=="undefined"&&(i=function(e){return a(t,e)}),typeof s=="undefined"&&(s=1e3),n=numeric.clone(n);var f=n.length,l=t(n),c,h;if(isNaN(l))throw new Error("uncmin: f(x0) is a NaN!");var p=Math.max,d=numeric.norm2;r=p(r,numeric.epsilon);var v,m,g,y=u.Hinv||numeric.identity(f),b=numeric.dot,w=numeric.inv,E=numeric.sub,S=numeric.add,x=numeric.tensor,T=numeric.div,N=numeric.mul,C=numeric.all,k=numeric.isFinite,L=numeric.neg,A=0,O,M,_,D,P,H,B,j,F,I,q,R,U="";m=i(n);while(A=.1*F*h||isNaN(c)){F*=.5,++A;continue}break}if(F*I1)i=s(.5*(n+r)),a[i]<=t?n=i:r=i;return this._at(t,n)},numeric.dopri=function(t,n,r,i,s,o,u){typeof s=="undefined"&&(s=1e-6),typeof o=="undefined"&&(o=1e3);var a=[t],f=[r],l=[i(t,r)],c,h,p,d,v,m,g=[],y=.2,b=[.075,.225],w=[44/45,-56/15,32/9],E=[19372/6561,-25360/2187,64448/6561,-212/729],S=[9017/3168,-355/33,46732/5247,49/176,-5103/18656],x=[35/384,0,500/1113,125/192,-2187/6784,11/84],T=[.10013431883002395,0,.3918321794184259,-0.02982460176594817,.05893268337240795,-0.04497888809104361,.023904308236133973],N=[.2,.3,.8,8/9,1,1],C=[-71/57600,0,71/16695,-71/1920,17253/339200,-22/525,.025],k=0,L,A,O=(n-t)/10,M=0,_=numeric.add,D=numeric.mul,P,H,B=Math.max,j=Math.min,F=Math.abs,I=numeric.norminf,q=Math.pow,R=numeric.any,U=numeric.lt,z=numeric.and,W=numeric.sub,X,V,$,J=new numeric.Dopri(a,f,l,g,-1,"");typeof u=="function"&&(X=u(t,r));while(tn&&(O=n-t),c=i(t+N[0]*O,_(r,D(y*O,l[k]))),h=i(t+N[1]*O,_(_(r,D(b[0]*O,l[k])),D(b[1]*O,c))),p=i(t+N[2]*O,_(_(_(r,D(w[0]*O,l[k])),D(w[1]*O,c)),D(w[2]*O,h))),d=i(t+N[3]*O,_(_(_(_(r,D(E[0]*O,l[k])),D(E[1]*O,c)),D(E[2]*O,h)),D(E[3]*O,p))),v=i(t+N[4]*O,_(_(_(_(_(r,D(S[0]*O,l[k])),D(S[1]*O,c)),D(S[2]*O,h)),D(S[3]*O,p)),D(S[4]*O,d))),P=_(_(_(_(_(r,D(l[k],O*x[0])),D(h,O*x[2])),D(p,O*x[3])),D(d,O*x[4])),D(v,O*x[5])),m=i(t+O,P),L=_(_(_(_(_(D(l[k],O*C[0]),D(h,O*C[2])),D(p,O*C[3])),D(d,O*C[4])),D(v,O*C[5])),D(m,O*C[6])),typeof L=="number"?H=F(L):H=I(L);if(H>s){O=.2*O*q(s/H,.25);if(t+O===t){J.msg="Step size became too small";break}continue}g[k]=_(_(_(_(_(_(r,D(l[k],O*T[0])),D(h,O*T[2])),D(p,O*T[3])),D(d,O*T[4])),D(v,O*T[5])),D(m,O*T[6])),++k,a[k]=t+O,f[k]=P,l[k]=m;if(typeof u=="function"){var K,Q=t,G=t+.5*O,Y;V=u(G,g[k-1]),$=z(U(X,0),U(0,V)),R($)||(Q=G,G=t+O,X=V,V=u(G,P),$=z(U(X,0),U(0,V)));if(R($)){var Z,et,tt,nt,rt=0,it=1,st=1;for(;;){if(typeof X=="number")Y=(st*V*Q-it*X*G)/(st*V-it*X);else{Y=G;for(A=X.length-1;A!==-1;--A)X[A]<0&&V[A]>0&&(Y=j(Y,(st*V[A]*Q-it*X[A]*G)/(st*V[A]-it*X[A])))}if(Y<=Q||Y>=G)break;K=J._at(Y,k-1),nt=u(Y,K),tt=z(U(X,0),U(0,nt)),R(tt)?(G=Y,V=nt,$=tt,st=1,rt===-1?it*=.5:it=1,rt=-1):(Q=Y,X=nt,it=1,rt===1?st*=.5:st=1,rt=1)}return P=J._at(.5*(t+Y),k-1),J.f[k]=i(Y,K),J.x[k]=Y,J.y[k]=K,J.ymid[k-1]=P,J.events=$,J.iterations=M,J}}t+=O,r=P,X=V,O=j(.8*O*q(s/H,.25),4*O)}return J.iterations=M,J},numeric.LU=function(e,t){t=t||!1;var n=Math.abs,r,i,s,o,u,a,f,l,c,h=e.length,p=h-1,d=new Array(h);t||(e=numeric.clone(e));for(s=0;s=0;--r){l=s[r];for(i=r+1;iK)E=K;W=d(t,l(E,B)),I=h(J,j);for(X=v-1;X!==-1;--X)I[X][X]+=1;$=q(I,p(W,E),!0);var Q=p(R,h(n,$)),G=1;for(X=m-1;X!==-1;--X)Q[X]<0&&(G=D(G,-0.999*Q[X]));g=c(o,l($,G)),R=c(r,h(n,g));if(!P(H(R,0)))return{solution:o,message:"",iterations:U};o=g;if(E=0?y=!1:y=!0;if(y)return{solution:g,message:"Unbounded",iterations:U}}return{solution:o,message:"maximum iteration count exceeded",iterations:U}},numeric._solveLP=function(t,n,r,i,s){var o=t.length,u=r.length,a,f=numeric.sum,l=numeric.log,c=numeric.mul,h=numeric.sub,p=numeric.dot,d=numeric.div,v=numeric.add,m=numeric.rep([o],0).concat([1]),g=numeric.rep([u,1],-1),y=numeric.blockMatrix([[n,g]]),b=r,a=numeric.rep([o],0).concat(Math.max(0,numeric.sup(numeric.neg(r)))+1),w=numeric.__solveLP(m,y,b,i,s,a,!1),E=numeric.clone(w.solution);E.length=o;var S=numeric.inf(h(r,p(n,E)));if(S<0)return{solution:NaN,message:"Infeasible",iterations:w.iterations};var x=numeric.__solveLP(t,n,r,i,s-w.iterations,E,!0);return x.iterations+=w.iterations,x},numeric.solveLP=function(t,n,r,i,s,o,u){typeof u=="undefined"&&(u=1e3),typeof o=="undefined"&&(o=numeric.epsilon);if(typeof i=="undefined")return numeric._solveLP(t,n,r,o,u);var a=i.length,f=i[0].length,l=n.length,c=numeric.echelonize(i),h=numeric.rep([f],0),p=c.P,d=[],v;for(v=p.length-1;v!==-1;--v)h[p[v]]=1;for(v=f-1;v!==-1;--v)h[v]===0&&d.push(v);var m=numeric.getRange,g=numeric.linspace(0,a-1),y=numeric.linspace(0,l-1),b=m(i,g,d),w=m(n,y,p),E=m(n,y,d),S=numeric.dot,x=numeric.sub,T=S(w,c.I),N=x(E,S(T,b)),C=x(r,S(T,s)),k=Array(p.length),L=Array(d.length);for(v=p.length-1;v!==-1;--v)k[v]=t[p[v]];for(v=d.length-1;v!==-1;--v)L[v]=t[d[v]];var A=x(L,S(k,S(c.I,b))),O=numeric._solveLP(A,N,C,o,u),M=O.solution;if(M!==M)return O;var _=S(c.I,x(s,S(b,M))),D=Array(t.length);for(v=p.length-1;v!==-1;--v)D[p[v]]=_[v];for(v=d.length-1;v!==-1;--v)D[d[v]]=M[v];return{solution:D,message:O.message,iterations:O.iterations}},numeric.MPStoLP=function(t){function y(e){throw new Error("MPStoLP: "+e+"\nLine "+s+": "+t[s]+"\nCurrent state: "+r[n]+"\n")}t instanceof String&&t.split("\n");var n=0,r=["Initial state","NAME","ROWS","COLUMNS","RHS","BOUNDS","ENDATA"],i=t.length,s,o,u,a=0,f={},l=[],c=0,h={},p=0,d,v=[],m=[],g=[];for(s=0;s=s)t/=2,u/=2,a>>>=1;return(t+a)/u},c},o=t.pow(n,r),i=t.pow(2,i),s=i*2,f(t.random(),e)}([],numeric.seedrandom,256,6,52),function(e){function t(e){if(typeof e!="object")return e;var n=[],r,i=e.length;for(r=0;rp)g[E]=P;else{g[E]=-Math.abs(P);if(P>0){for(w=1;w<=o;w+=1)f[w][b]=-f[w][b];l[b]=-l[b]}}}for(b=1;b<=v;b+=1)g[L+d[b]]=0;O=0,D=0;for(b=1;b<=h;b+=1)g[L+b]=1;b-=1){P=g[b],E=k+b*(b+3)/2,S=E-b;for(w=b+1;w<=v;w+=1)P-=g[E]*g[C+w],E+=w;P/=g[S],g[C+b]=P;if(d[b]p)g[L+O]=P;else{g[L+O]=-Math.abs(P);if(P>0){for(w=1;w<=o;w+=1)f[w][O]=-f[w][O];l[O]=-l[O]}}return 700}v+=1,d[v]=O,E=k+(v-1)*v/2+1;for(b=1;b<=v-1;b+=1)g[E]=g[b],E+=1;if(v===o)g[E]=g[o];else{for(b=o;b>=v+1;b-=1){if(g[b]===0)break;j=Math.max(Math.abs(g[b-1]),Math.abs(g[b])),F=Math.min(Math.abs(g[b-1]),Math.abs(g[b])),g[b-1]>=0?D=Math.abs(j*Math.sqrt(1+F*F/(j*j))):D=-Math.abs(j*Math.sqrt(1+F*F/(j*j))),j=g[b-1]/D,F=g[b]/D;if(j===1)break;if(j===0){g[b-1]=F*D;for(w=1;w<=o;w+=1)D=e[w][b-1],e[w][b-1]=e[w][b],e[w][b]=D}else{g[b-1]=D,I=F/(1+j);for(w=1;w<=o;w+=1)D=j*e[w][b-1]+F*e[w][b],e[w][b]=I*(e[w][b-1]+D)-e[w][b],e[w][b-1]=D}}g[E]=g[v]}return 0}function J(){E=k+T*(T+1)/2+1,S=E+T;if(g[S]===0)return 798;j=Math.max(Math.abs(g[S-1]),Math.abs(g[S])),F=Math.min(Math.abs(g[S-1]),Math.abs(g[S])),g[S-1]>=0?D=Math.abs(j*Math.sqrt(1+F*F/(j*j))):D=-Math.abs(j*Math.sqrt(1+F*F/(j*j))),j=g[S-1]/D,F=g[S]/D;if(j===1)return 798;if(j===0){for(b=T+1;b<=v;b+=1)D=g[S-1],g[S-1]=g[S],g[S]=D,S+=b;for(b=1;b<=o;b+=1)D=e[b][T],e[b][T]=e[b][T+1],e[b][T+1]=D}else{I=F/(1+j);for(b=T+1;b<=v;b+=1)D=j*g[S-1]+F*g[S],g[S]=I*(g[S-1]+D)-g[S],g[S-1]=D,S+=b;for(b=1;b<=o;b+=1)D=j*e[b][T]+F*e[b][T+1],e[b][T+1]=I*(e[b][T]+D)-e[b][T+1],e[b][T]=D}return 0}function K(){S=E-T;for(b=1;b<=T;b+=1)g[S]=g[E],E+=1,S+=1;return g[A+T]=g[A+T+1],d[T]=d[T+1],T+=1,Tt?e*Math.sqrt(1+t*t/e/e):t==0?e:t*Math.sqrt(1+e*e/t/t)}var n,r=numeric.epsilon,i=1e-64/r,s=50,o=0,u=0,a=0,f=0,l=0,c=numeric.clone(t),h=c.length,p=c[0].length;if(h=0&&(b=-b),w=y*b-T,c[u][u]=y-b;for(a=l;a=0&&(b=-b),w=y*b-T,c[u][u+1]=y-b;for(a=l;aE&&(E=S)}for(u=p-1;u!=-1;u+=-1){if(b!=0){w=b*c[u][u+1];for(a=l;a=s-1)throw"Error: no convergence.";E=v[l],S=v[f-1],b=d[f-1],w=d[f],y=((S-x)*(S+x)+(b-w)*(b+w))/(2*w*S),b=g(y,1),y<0?y=((E-x)*(E+x)+w*(S/(y-b)-w))/E:y=((E-x)*(E+x)+w*(S/(y+b)-w))/E,o=1,T=1;for(u=l+1;u=0;a--)if(v[a]