What Is Optimization Toolbox?
What Is Optimization Toolbox? What Is Optimization Toolbox?
fsolveMedium-Scale and Large-Scale AlgorithmsTheseoptionsareusedbyboththemedium-scale and large-scalealgorithms:DerivativeCheckDiagnosticsDiffMaxChangeDiffMinChangeDisplayFunValCheckJacobianMaxFunEvalsMaxIterOutputFcnCompare user-supplied derivatives (Jacobian) tofinite-differencing derivatives.Display diagnostic information about the functionto be solved.Maximum change in variables for finitedifferencing.Minimum change in variables for finitedifferencing.Level of display. 'off' displays no output;'iter' displays output at each iteration; 'final'(default) displays just the final output.Check whether objective function values arevalid. 'on' displays an error when the objectivefunction returns a value that is complex, Inf, orNaN. 'off' (the default) displays no error.If 'on', fsolve uses a user-defined Jacobian(defined in fun), or Jacobian information (whenusing JacobMult), for the objective function. If'off', fsolve approximates the Jacobian usingfinite differences.Maximum number of function evaluationsallowed.Maximum number of iterations allowed.Specify one or more user-defined functions thatan optimization function calls at each iteration.See “Output Function” on page 6-16.8-112
fsolvePlotFcnsTolFunPlots various measures of progress while thealgorithm executes, select from predefined plotsor write your own. Specifying @optimplotx plotsthe current point; @optimplotfunccount plotsthe function count; @optimplotfval plots thefunction value; @optimplotresnorm plots thenorm of the residuals; @optimplotstepsize plotsthe step size; @optimplotfirstorderopt plotsthe first-order of optimality.Termination tolerance on the function value.TolX Termination tolerance on x.TypicalXTypical x values.Large-Scale Algorithm OnlyThese options are used only by the large-scale algorithm:8-113
- Page 345 and 346: fminimaxlambdamaxfvaloutputStructur
- Page 347 and 348: fminimaxMeritFunctionMinAbsMaxOutpu
- Page 349 and 350: fminimaxx0 = [0.1; 0.1]; % Make a s
- Page 351 and 352: fminimax[3] Han, S.P., “A Globall
- Page 353 and 354: fminsearchInputArguments“Function
- Page 355 and 356: fminsearchOutputFcnPlotFcnsTolFunSp
- Page 357 and 358: fminsearcha = sqrt(2);banana = @(x)
- Page 359 and 360: fminuncPurposeEquationFind minimum
- Page 361 and 362: fminuncfunThefunctiontobeminimized.
- Page 363 and 364: fminuncexitflaggradhessianoutputInt
- Page 365 and 366: fminuncLarge-Scale and Medium-Scale
- Page 367 and 368: fminuncHessianHessMultIf 'on', fmin
- Page 369 and 370: fminuncPrecondBandWidthTolPCGUpper
- Page 371 and 372: fminuncx0 = [1,1];[x,fval] = fminun
- Page 373 and 374: fminunc“Trust-Region Methods for
- Page 375 and 376: fseminfPurposeEquationFind minimum
- Page 377 and 378: fseminf“Avoiding Global Variables
- Page 379 and 380: fseminfoptions“Options” on page
- Page 381 and 382: fseminflambdaoutput5 Magnitude of d
- Page 383 and 384: fseminfOutputFcnPlotFcnsRelLineSrch
- Page 385 and 386: fseminfSecond, write an M-file, myc
- Page 387 and 388: fseminfThe plot command inside 'myc
- Page 389 and 390: fseminfThe goal was to minimize the
- Page 391 and 392: fsolvePurposeEquationSolve system o
- Page 393 and 394: fsolvefunThe nonlinear system of eq
- Page 395: fsolvefuncCountalgorithmcgiteration
- Page 399 and 400: fsolveJacobPatternMaxPCGIterPrecond
- Page 401 and 402: fsolve[x,fval] = fsolve(@myfun,x0,o
- Page 403 and 404: fsolveYoucanformulateandsolvethepro
- Page 405 and 406: fsolveLimitationsThe function to be
- Page 407 and 408: fzeroPurposeSyntaxDescriptionFind r
- Page 409 and 410: fzeroDisplayFunValCheckOutputFcnLev
- Page 411 and 412: fzerowrite an M-file called f.m.fun
- Page 413 and 414: fzmultPurposeSyntaxMultiplication w
- Page 415 and 416: linprogPurposeEquationSolve linear
- Page 417 and 418: linproglambdaoutput-2 No feasible p
- Page 419 and 420: linprogsubject toFirst, enter the c
- Page 421 and 422: linprogDiagnosticsLarge-Scale Optim
- Page 423 and 424: linprogthe primal objective < -1e+1
- Page 425 and 426: lsqcurvefitPurposeEquationSolve non
- Page 427 and 428: lsqcurvefitfunThe function you want
- Page 429 and 430: lsqcurvefitoutputupperUpper bounds
- Page 431 and 432: lsqcurvefitJacobianMaxFunEvalsMaxIt
- Page 433 and 434: lsqcurvefitJacobPatternMaxPCGIterSp
- Page 435 and 436: lsqcurvefitNote that at the time th
- Page 437 and 438: lsqcurvefitof J with many nonzeros,
- Page 439 and 440: lsqlinPurposeEquationSolve constrai
- Page 441 and 442: lsqlinlambdaoutput3 Change in the r
- Page 443 and 444: lsqlinDiagnosticsDisplayMaxIterTypi
- Page 445 and 446: lsqlinPrecondBandWidthUpper bandwid
fsolveMedium-Scale and Large-Scale AlgorithmsTheseoptionsareusedbyboththemedium-scale and large-scalealgorithms:DerivativeCheckDiagnosticsDiffMaxChangeDiffMinChangeDisplayFunValCheckJacobianMaxFunEvalsMaxIterOutputFcnCompare user-supplied derivatives (Jacobian) tofinite-differencing derivatives.Display diagnostic information about the functionto be solved.Maximum change in variables for finitedifferencing.Minimum change in variables for finitedifferencing.Level of display. 'off' displays no output;'iter' displays output at each iteration; 'final'(default) displays just the final output.Check whether objective function values arevalid. 'on' displays an error when the objectivefunction returns a value that is complex, Inf, orNaN. 'off' (the default) displays no error.If 'on', fsolve uses a user-defined Jacobian(defined in fun), or Jacobian information (whenusing JacobMult), for the objective function. If'off', fsolve approximates the Jacobian usingfinite differences.Maximum number of function evaluationsallowed.Maximum number of iterations allowed.Specify one or more user-defined functions thatan optimization function calls at each iteration.See “Output Function” on page 6-16.8-112
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