A powerful curve fitting toolbox with built-in fitting of over 40 commonly used functions, no complex configuration, no need to write code, and no need to specify initial values to quickly fit, even beginners can easily get started.\n\nAll supported fitting models:\n\nPolynomial:\n * Linear: y=ax+b\n * Quadratic: y=ax^2+bx+c\n * Cubic: y=ax^3+bx^2+cx+d\n * N-th degree polynomial: y=\u2211ai*x^i\nExponential:\n * y=a*exp(bx)\n * y=a*exp(bx)+c\n * y=exp(ax^2+bx+c)\n * Multi exponential model: y=\u2211ai*exp(bi*x)\n * Multi exponential model: y=a0+\u2211ai*exp(bi*x)\n * y=exp(ax)/(bx+c)\nLogarithmic:\n * y=a*ln(x)+b\n * y=a*ln(-x)+b\n * y=a*ln(x+b)+c\n * y=a*ln(-x+b)+c\nPower:\n * y=ax^b\n * y=ax^b+c\n * y=a(x+b)^c\n * y=a(x+b)^c+d\nRational:\n * y=(ax+b)/(x+c)\n * y=a/(x^2+bx+c)\n * y=(ax+b)/(x^2+cx+d)\n * y=(ax^2+bx+c)/(x^2+dx+e)\nGaussian:\n * Gauss-3P\uff1ay=a*exp(-(x-b)^2/c)\n * Gauss-4P\uff1ay=a*exp(-(x-b)^2/c)+d\n * Multi peak: y=y0+\u2211ai*exp(-(x-bi)^2/ci)\nTrigonometric:\n * Sine: y=A*sin(\u03c9 x+\u03c6)+b\n * Fourier series: y=a0+\u2211[ai*cos(i\u03c9x)+bi*sin(i\u03c9x)]\nSigmoidal:\n * Logistic-3P\uff1ay=a/(1+exp(bx+c))\n * Logistic-4P\uff1ay=a/(1+exp(bx+c))+d\n * Gompertz-3P\uff1ay=a*exp(-exp(bx+c))\n * Gompertz-4P\uff1ay=a*exp(-exp(bx+c))+d\nQuadratic curve:\n * Circle: (x-x0)^2+(y-y0)^2=r^2\n * Ellipse: (x-x0)^2/a^2+(y-y0)^2/b^2=1\n * Hyperbola: (x-x0)^2/a^2-(y-y0)^2/b^2=1\n * Hyperbola: (y-y0)^2/b^2-(x-x0)^2/a^2=1\n * Parabola: (y-y0)^2=2p(x-x0)\n * Parabola: (x-x0)^2=2p(y-y0)\n * General quadratic curve: x^2+axy+by^2+cx+dy+e=0\nCustom fitting:\n * Custom function fitting\n * Custom implicit function fitting