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Alexey L. Voskov – International Journal of Mathematical Education in Science and Technology, 2024
QR decomposition is widely used for solving the least squares problem. However, existing materials about it may be too abstract for non-mathematicians, especially STEM students, and/or require serious background in linear algebra. The paper describes theoretical background and examples of GNU Octave compatible MATLAB scripts that give relatively…
Descriptors: Mathematics, Algorithms, Data Science, Mathematical Concepts
Voss, David A. – MATYC Journal, 1978
Several algorithms for solving initial value differential equation problems using the definitions of derivative and integral and a computer are discussed. (MN)
Descriptors: Algorithms, College Mathematics, Computer Assisted Instruction, Higher Education

Johnston, J. H. – Mathematics in School, 1972
After briefly presenting possible origins for the use of the decimal system for counting and the duodecimal (base twelve) system for many measures, a notational scheme using six positive'' digits and six negative'' digits is presented. Examples and algorithms using this set of digits for operations with whole numbers, fractions, and in…
Descriptors: Algorithms, Arithmetic, Mathematical Concepts, Mathematics

Gantner, Thomas E. – Mathematics Teacher, 1990
Presents two methods for replacing a series by one converging more rapidly: regrouping the terms of a series and manipulations of power series. Describes a general algorithm for approximating the natural logarithm of any number. (YP)
Descriptors: Algorithms, Logarithms, Mathematical Concepts, Mathematical Formulas

Wright, Tommy – College Mathematics Journal, 1989
Describes the algorithm used to select a simple random sample of certain size without having to list all possible samples and a justification based on Pascal's triangle. Provides testing results by various computers. (YP)
Descriptors: Algorithms, Computation, Computer Oriented Programs, Computer Software

Curtis, Lorenzo J. – American Journal of Physics, 1978
Presents the historical development of perceptions and applications of the exponential law, tracing it from its ancient origins until the year 1900. Shows that many concepts such as mean life and half life and their relationships to differential equations were known long before their application to nuclear radioactivity. (GA)
Descriptors: Algorithms, College Mathematics, College Science, Higher Education