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The International Mathematical Contest in Modeling (MCM) is a multi-day mathematical modelling competition held annually in USA, during the first or second weekend in February, since 1985 by COMAP and sponsored by SIAM and INFORMS.
The HiMCM in turn was established in the 1990s to create a high school counterpart to COMAP’s MCM. [5] [6] [7] Contestants in the IMMC are given five days to research (the contest permits the use of any inanimate source) and write a mathematical paper detailing their mathematical model for a given situation. [8]
American Mathematics Contest 10 (AMC10) American Mathematics Contest 12 (AMC12), formerly the American High School Mathematics Examination (AHSME) American Regions Mathematics League (ARML) Harvard-MIT Mathematics Tournament (HMMT) iTest; High School Mathematical Contest in Modeling (HiMCM) Math League (grades 4–12) Math-O-Vision (grades 9–12)
Mathematical Contest in Modeling; MathWorks Math Modeling Challenge This page was last edited on 6 June 2024, at 16:57 (UTC). Text is available under the Creative ...
M. Mandelbrot Competition; Math circle; Math League; Math Prize for Girls; Math-O-Vision; MathChallengers; Mathcounts; Mathematical Contest in Modeling; Mathematical Kangaroo
Redwood Empire Mathematics Tournament hosted by Humboldt State (middle and high school) San Diego Math League and San Diego Math Olympiad hosted by the San Diego Math Circle; Santa Clara University High School Mathematics Contest; SC Mathematics Competition (SCMC) hosted by RSO@USC; Stanford Mathematics Tournament
MathWorks Math Modeling Challenge (M3 Challenge) is a mathematical modeling competition open to high schools in the U.S. (including US territories and DoDEA schools) and schools with sixth form students (age 16-19) in England and Wales.
Geometric modeling is a branch of applied mathematics and computational geometry that studies methods and algorithms for the mathematical description of shapes. The shapes studied in geometric modeling are mostly two- or three- dimensional ( solid figures ), although many of its tools and principles can be applied to sets of any finite dimension.