フィルターのクリア

Polynomial data fitting that guarantees convexity

2 ビュー (過去 30 日間)
Dave Lee
Dave Lee 2019 年 12 月 20 日
編集済み: Dave Lee 2019 年 12 月 20 日
Hi there,
I have a dataset with N number of data points [x1, x2, ...., xN], [y1, y2, ..., yN]. I can use polyfit by providing the order of polynomial. But it doesn't guarantee that the polynomial is convex. Is there any way that I can find the best fitting polynomial but still guarantees convexity? Also, if I want to add constraint such as the polynomial passes through a specific data points or a number of specific points (still guarantees convexity), what would be the way?
Thanks,

回答 (0 件)

カテゴリ

Help Center および File ExchangePolynomials についてさらに検索

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by