computer science

Higher-Order and Symbolic Computation

Higher-Order and Symbolic Computation is a computer science 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 Higher-Order and Symbolic Computation rather than just read about it. In short: Higher-Order and Symbolic Computation (formerly LISP and Symbolic Computation) was a computer science journal published by Springer Science+Business Media. It focuses on programming concepts and abstractions and programming language theory.

Key takeaways

Higher-Order and Symbolic Computation belongs to computer science; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Higher-Order and Symbolic Computation to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Higher-Order and Symbolic Computation from memory before moving on to harder problems.

Reference excerpt

Higher-Order and Symbolic Computation (formerly LISP and Symbolic Computation) was a computer science journal published by Springer Science+Business Media. It focuses on programming concepts and abstractions and programming language theory. The final issue appeared in 2013.

Editors Former editors-in-chief of the journal have been:

Richard P. Gabriel, Sun Microsystems, Inc., USA (1988 – 1991) Guy L. Steele Jr., Sun Microsystems, Inc., USA (1988 – 1991) Robert R. Kessler, University of Utah, USA (1991 – 1998) The last editors-in-chief were Olivier Danvy (Aarhus University) and Carolyn Talcott (SRI International).

Abstracting and indexing The journal is abstracted and indexed in Academic OneFile, ACM Computing Reviews, ACM Digital Library, Computer Abstracts International Database, Computer Science Index, Current Abstracts, EBSCO, EI-Compendex, INSPEC, io-port.net, PASCAL, Scopus, Summon by Serial Solutions, VINITI Database RAS, and Zentralblatt MATH.

See also Journal of Functional Programming Journal of Functional and Logic Programming Journal of Symbolic Computation

External links Official website Journal page Archived 2011-06-04 at the Wayback Machine at Aarhus University Online access Higher-Order and Symbolic Computation at DBLP The Collection of Computer Science Bibliographies Archived 2011-08-07 at the Wayback Machine

Worked examples

Example 1 — a first encounter with Higher-Order and Symbolic Computation

Start with the simplest possible case. Write down what Higher-Order and Symbolic Computation claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, 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 Higher-Order and Symbolic Computation 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 Higher-Order and Symbolic Computation 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 Higher-Order and Symbolic Computation

In research: Higher-Order and Symbolic Computation appears in computer science 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 Higher-Order and Symbolic Computation 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: Higher-Order and Symbolic Computation is common in secondary-school and first-year university syllabi. It links to neighbouring topics Computer science journals, Springer Science+Business Media academic journals, so understanding it makes those chapters shorter.
In everyday life: Look for Higher-Order and Symbolic Computation 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 Higher-Order and Symbolic Computation in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Higher-Order and Symbolic Computation 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 Higher-Order and Symbolic Computation out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Higher-Order and Symbolic Computation in simple terms?

Why does Higher-Order and Symbolic Computation matter?

Because it connects several computer science 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 Higher-Order and Symbolic Computation?

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 Higher-Order and Symbolic Computation.