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Colleges review a student's score by subject – math, English, science, etc. – and compare that score to the school's cutoff. [27] For example, a college might use a score of 19 on the ACT math section as the threshold for determining whether a student must enroll in a remedial math course or college-level math course.
Students interested in taking AP Computer Science A [55] or AP Computer Science Principles [56] must have taken at least one course on algebra in high school. AP Chemistry specifically requires Algebra II. [57] Pascal's arithmetic triangle appears in combinatorics as well as algebra via the binomial theorem.
Computer science Ariadne: Amdahl's law: Computer science: Gene Amdahl: Ampère's circuital law: Physics: André-Marie Ampère: Archie's law: Geology: Gus Archie: Archimedes's principle Axiom of Archimedes: Physics Analysis: Archimedes: Arrhenius equation: Chemical kinetics: Svante Arrhenius: Avogadro's law: Thermodynamics: Amedeo Avogadro ...
In mathematics, a law is a formula that is always true within a given context. [1] Laws describe a relationship , between two or more expressions or terms (which may contain variables ), usually using equality or inequality , [ 2 ] or between formulas themselves, for instance, in mathematical logic .
Although no universally accepted mathematical definition of chaos exists, a commonly used definition, originally formulated by Robert L. Devaney, says that to classify a dynamical system as chaotic, it must have these properties: [23] it must be sensitive to initial conditions, it must be topologically transitive, it must have dense periodic ...
Concepts and notations from discrete mathematics are useful in studying and describing objects and problems in branches of computer science, such as computer algorithms, programming languages, cryptography, automated theorem proving, and software development. Conversely, computer implementations are significant in applying ideas from discrete ...
Idempotence (UK: / ˌ ɪ d ɛ m ˈ p oʊ t ən s /, [1] US: / ˈ aɪ d ə m-/) [2] is the property of certain operations in mathematics and computer science whereby they can be applied multiple times without changing the result beyond the initial application.
The law of experience holds that machines under input tend to lose information about their original state, and the law of requisite variety states a necessary, though not sufficient, condition for a regulator to exert anticipatory control by responding to its current input (rather than the previous output as in error-controlled regulation).