astronomy

Stefano De Marchi

Stefano De Marchi is a astronomy topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Stefano De Marchi rather than just read about it. In short: Stefano De Marchi (born 17 December 1962 in Candiana, Padua) is an Italian mathematician who works in numerical analysis and is a professor at the University of Padua. He is the founder and managing editor of the open-access journal Dolomites Research Notes on Approximation published by the Padua University Press, coordinator of the Constructive Approximation and Applications Research Group till 2025, coordinator of…

Key takeaways

Stefano De Marchi belongs to astronomy; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Stefano De Marchi to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Stefano De Marchi from memory before moving on to harder problems.

Reference excerpt

Stefano De Marchi (born 17 December 1962 in Candiana, Padua) is an Italian mathematician who works in numerical analysis and is a professor at the University of Padua. He is the founder and managing editor of the open-access journal Dolomites Research Notes on Approximation published by the Padua University Press, coordinator of the Constructive Approximation and Applications Research Group till 2025, coordinator of the Italian Research Network on Approximation from 2017 to 2020, and Responsible for the Unione Matematica Italiana Thematic Group on "Approximation Theory and Applications (A.T.A.)" from 2000 to 2026. His scientific interests deal mainly with interpolation and approximation of functions and data by polynomials and radial basis functions (RBFs)).

Education and career Stefano De Marchi studied a Bachelor's degree in Mathematics from 1981-1987, a Master's in Applied Mathematics in 1991 at the University of Padua, and received his doctorate in Computational Mathematics, Consorzio Nord-Orientale, VI ciclo, University of Padua under Maria Morandi Cecchi and Larry Lee Schumaker supervision (dissertation: Approssimazione e Interpolazione su "Simplices": Caratterizzazioni, Metodi ed Estensioni) He habilitated in 2017 and became a Full Professor of Numerical Analysis at the Department of Mathematics “Tullio Levi-Civita”, University of Padua in 2022. From 2025 he is a faculty member of the Department of Medicine of the same University.

Research Stefano has made contributions to approximation theory, such as Weakly Admissible Meshes, Barycentric rational interpolation, Stability issues, greedy algorithms in RBF theory, Rational RBF approximation, Medical image reconstruction, and Fake nodes. He is one of the discoverers of the so called Padua points, which are the only set of quasi-optimal interpolation points explicitly known on the square, for polynomial interpolation of total degree. Their name is due to the University of Padua, where they were originally discovered. He is also author of the books: "Kernel-Based Methods" , ′′Funzioni Splines Univariate″, ′′Appunti di Calcolo Numerico″, ′′Meshfree Approximation for Multi-Asset European and American Option Problems″ and the Lecture notes: ′′Four lectures on radial basis functions″ and '′Lectures on multivariate polynomial interpolation″.

References

External links Home page at University of Padua Stefano De Marchi - Publications list Stefano De Marchi - Curriculum Vitae Stefano De Marchi publications indexed by Google Scholar Stefano De Marchi - The Mathematics Genealogy Project Padova Neuroscience Center Dolomites Research Notes on Approximation Journal Constructive Approximation and Applications Research Group Research ITalian network on Approximation Unione Matematica Italiana

Worked examples

Example 1 — a first encounter with Stefano De Marchi

Start with the simplest possible case. Write down what Stefano De Marchi claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In astronomy, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Stefano De Marchi before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Stefano De Marchi ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Stefano De Marchi

In research: Stefano De Marchi appears in astronomy research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Stefano De Marchi in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Stefano De Marchi is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1962 births, Academic staff of the University of Padua, Italian mathematicians, so understanding it makes those chapters shorter.
In everyday life: Look for Stefano De Marchi outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

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How to study Stefano De Marchi in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Stefano De Marchi means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Stefano De Marchi out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Stefano De Marchi in simple terms?

Why does Stefano De Marchi matter?

Because it connects several astronomy ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Stefano De Marchi?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Stefano De Marchi.