Search results
Results from the WOW.Com Content Network
This article is a list of notable unsolved problems in computer science. A problem in computer science is considered unsolved when no solution is known or when experts in the field disagree about proposed solutions.
Monographiae Biologicae, another monograph series published by Springer Science+Business Media; Lecture Notes in Physics; Lecture Notes in Mathematics; Electronic Workshops in Computing, published by the British Computer Society
Code: The Hidden Language of Computer Hardware and Software; Compilers: Principles, Techniques, and Tools; Computer Graphics: Principles and Practice; Computers and Intractability; Concepts, Techniques, and Models of Computer Programming; Concrete Mathematics
Computer science is the study of computation, information, and automation. [1] [2] [3] Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines (including the design and implementation of hardware and software).
The magazine said that the book was not easy to read, but that it would expose experienced programmers to both old and new topics. [8] A review of SICP as an undergraduate textbook by Philip Wadler noted the weaknesses of Scheme as an introductory language for a computer science course. [9]
Computer programming or coding is the composition of sequences of instructions, called programs, that computers can follow to perform tasks. [1] [2] It involves designing and implementing algorithms, step-by-step specifications of procedures, by writing code in one or more programming languages.
In theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource usage, and explores the relationships between these classifications. A computational problem is a task solved by a computer.
In computer science, brute-force search or exhaustive search, also known as generate and test, is a very general problem-solving technique and algorithmic paradigm that consists of systematically checking all possible candidates for whether or not each candidate satisfies the problem's statement.