curve_plot.cpp File Reference

A simple curve plot. More...

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Detailed Description

A simple curve plot.

Author

Mitch Richling http://www.mitchr.me/

Date

2024-07-18

Standards

C++23

Copyright

Copyright (c) 2024, Mitchell Jay Richling http://www.mitchr.me/ All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this list of conditions, and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions, and the following disclaimer in the documentation and/or other materials provided with the distribution.
3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Details

Univariate function plots are the bread-and-butter of the plotting world. Normally a simple, uniformly spaced, sequence is enough to get the job done quite nicely. Still, a few things can come up:

• Jump discontinuities & Vertical asymptotes: Resolved with higher sampling near the discontinuities and a cutting edge (TBD)
• Isolated, non-differentiable points: Resolved with higher sampling near the points and a folding edge (TBD)
• Undefined intervals: Resolved with higher sampling near the edges and NaN edge repair
• Regions of high oscillation: Resolved with higher sampling on the regions
• Extrema: Resolved with higher sampling near the extrema

Note that most of the items above are listed TBD. A few features need to be added to MR_rt_to_cc. ;) Note the TODO comments in the body of main().

Definition in file curve_plot.cpp.