Search results
Program in Java using a high-performance numerical library. Learn the mathematics for a wide range of numerical computing algorithms. Convert ideas and equations into code. Put together algorithms and classes to build your own engineering solution. Build solvers for industrial optimization problems.
The ALGLIB numerical library offers a comprehensive suite of curve and surface fitting algorithms, capable of efficiently handling various small- and large-scale fitting problems. The library supports 1D curve fitting algorithms, such as polynomial, rational, penalized spline, and 4PL/5PL fitting.
30 sty 2021 · On the one hand you seem to suggest you want to fit a function to some input data to your simulation. (You talk about having Excel inputs and wanting to fit a curve to it.) On the other hand, you seem to suggest you want an approach where you are optimising at intermediate time intervals based on run-time model state.
18 mar 2017 · Curve fitting by genetic algorithms. java genetic-algorithm genetic-programming curve-fitting.
Here are 282 public repositories matching this topic... Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize, and with many additional classes and methods for curve fitting. GPU-accelerated Levenberg-Marquardt curve fitting in CUDA. curve fitting (peak fitting) software.
Numerical Methods Using Java covers a wide range of topics, including chapters on linear algebra, root finding, curve fitting, differentiation and integration, solving differential equations, random numbers and simulation, a whole suite of unconstrained and constrained optimization algorithms, statistics, regression and time series analysis.
Topics covered: Validating simulation results, curve fitting, linear regression. Instructor: Prof. Eric Grimson, Prof. John Guttag
