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Thinking in Java (ISBN 978-0131872486) is a book about the Java programming language, written by Bruce Eckel and first published in 1998. Prentice Hall published the 4th edition of the work in 2006. The book represents a print version of Eckel’s “Hands-on Java” seminar.
Software Design for Flexibility, by Chris Hanson and Gerald Jay Sussman; How to Design Programs (HtDP), which intends to be a more accessible book for introductory Computer Science, and to address perceived deficiencies in SICP; Essentials of Programming Languages (EoPL), a book for Programming Languages courses
Bruce Eckel (born () July 8, 1957 (age 67)) is a computer programmer, author, and consultant. [citation needed]Eckel's best known works are Thinking in Java and the two-volume series Thinking in C++, aimed at programmers wanting to learn the Java or C++ programming languages, respectively, particularly those with little experience of object-oriented programming.
Logic programming is a programming, database and knowledge representation paradigm that is based on formal logic. A logic program is a set of sentences about some problem domain. Computation is performed by applying logical reasoning to solve problems in the domain. Major logic programming language families include Prolog, Answer Set ...
Eric S. Roberts is an American computer scientist noted for his contributions to computer science education through textbook authorship and his leadership in computing curriculum development. [1]
In programming language theory and proof theory, the Curry–Howard correspondence is the direct relationship between computer programs and mathematical proofs.It is also known as the Curry–Howard isomorphism or equivalence, or the proofs-as-programs and propositions-or formulae-as-types interpretation.
[4] [5] The probabilistic logic programming language P-Log resolves this by dividing the probability mass equally between the answer sets, following the principle of indifference. [4] [6] Alternatively, probabilistic answer set programming under the credal semantics allocates a credal set to every query. Its lower probability bound is defined ...
Probabilistic programming (PP) is a programming paradigm based on the declarative specification of probabilistic models, for which inference is performed automatically. [1] Probabilistic programming attempts to unify probabilistic modeling and traditional general purpose programming in order to make the former easier and more widely applicable.