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Monster Media 1996 #15
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Monster Media Number 15 (Monster Media)(July 1996).ISO
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math
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cxptw123.zip
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DATA.Z
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cvxpt32.exe
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string.txt
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1996-05-17
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304 Exponential Models
305 Power Law Models
306 Yield-Density Models
307 Growth Models
308 Sigmoidal (S-shaped) Models
309 Miscellaneous Models
463 Search the Help System for a Topic
464 View the iteration history of a regression fit
465 Edit the current data file with the Notepad
466 Invalidate all performed curve fits
467 Remove outliers from the data set
468 Show summary of data statistics
469 Display CurveExpert information
470 Open the CurveExpert help system
471 Tile graphing windows on desktop
472 Open all calculated graphing windows
473 Refreshes all open graphing windows
474 Minimize all graphing windows
475 How to use the Windows Help System
476 Close all open graphing windows
477 Cascade graphing windows on desktop
478 Use the CurveFinder to find the best curve fit
479 Scale, translate, clip, or sort the data set
480 Sort the data in ascending order
481 Check the data set for applicable curve fits
482 Calculate all applicable curve fits
483 Remove last row from data set
484 Select the current data entry
485 Undo the last edit
486 Delete the Contents of the current cell
487 Paste the clipboard contents at the cursor
488 Copy the current selection to the clipboard
489 Cut the current selection to the clipboard
490 Exit CurveExpert 1.2
491 Set up the printer for printing
492 Print the current data file
493 Use computer generated initial guesses
494 Customize CurveExpert default settings
495 Export a data file/curve fit to a spreadsheet
496 Save the current data file with a new name
497 Save the current data file
498 Open an existing data file
499 Create a new data file
500 Linear Regression, y=a+bx
501 Quadratic Regression, y=a+bx+cx^2
502 nth order Polynomial, y=a+bx+cx^2+dx^3...
503 Plot the current data set
504 Exponential Function, y=ae^(bx)
505 Modified Exponential, y=a*e^(b/x)
506 Logarithm fit, y=a+b*ln(x)
507 Reciprocal Logarithm Fit, y=1/(a+b*ln(x))
508 Vapor Pressure Model, y=exp(a+b/x+cln(x))
509 Power Equation, y=ax^b
510 Modified Power Curvefit, y=a*b^x
511 Shifted Power Equation, y=a*(x-b)^c
512 Geometric Fit, y=ax^(bx)
513 Modified Geometric fit, a*x^(b/x)
514 Root Fit, y=a^(1/x)
515 Hoerl Model Curvefit, y=a*(b^x)*(x^c)
516 Modified Hoerl Model, y=a*b^(1/x)*x^c
517 Reciprocal Model, y=1/(ax+b)
518 Reciprocal Quadratic Model, y=1/(a+bx+cx^2)
519 Bleasdale Model, y=(a+bx)^(-1/c)
520 Harris Model, y=1/(a+bx^c)
521 Gompertz Relation, y=a*exp(-exp(b-cx))
522 Logistic Model, y=a/(1+b*exp(-cx))
523 Weibull Model, y=a-b*exp(-c*x^d)
524 MMF Model, y=(a*b+c*x^d)/(b+x^d)
525 Richards Model, y=a/(1+exp(b-cx)^(1/d))
526 Saturation Growth Rate Model, y=ax/(b+x)
527 Exponential association, y=a(1-exp(-bx)
528 Exponential Association (3), y=a(b-exp(-cx))
529 Sinusoidal Fit, y=a+b*cos(cx+d)
530 Gaussian Fit, y=a*exp((-(b-x)^2)/(2*c^2))
531 Hyperbolic Fit, y=a+b/x
532 Heat Capacity Model, y=ax+bx+c/x^2
533 Rational Function, y=(a+bx)/(1+cx+dx^2)
534 Lagrangian Interpolation, y=a+bx+cx^2+dx^3...
535 Linear Spline Interpolation
536 Quadratic Spline Interpolation
537 Cubic Spline Interpolation
538 Tension Spline Model
539 Define a nonlinear model
1798 Accept calculation
1799 Abort calculation
1970 Open help file
1978 Run CurveFinder
1987 Paste from clipboard
1988 Copy selection
1989 Cut selection
1992 Print data file
1993 Automatic initial guesses on/off
1997 Save data file
1998 Open a data file
1999 New file
2000 Linear fit
2001 Quadratic fit
2002 Polynomial fit
2039 Define a user model