/* [wxMaxima batch file version 1] [ DO NOT EDIT BY HAND! ]*/ /* [ Created with wxMaxima version 20.12.1 ] */ /* [wxMaxima: comment start ] Численное решение контрольных задач по физике Приложение к файлам контрольных работ (c) Черноус Алексей, 2022 , https://www.chernous.site [wxMaxima: comment end ] */ /* [wxMaxima: title start ] 9 класс <<Колебания и волны. Звук>> [wxMaxima: title end ] */ /* [wxMaxima: input start ] */ /* Загрузка единиц СИ, физических констант, производных констант и табличных величин */ load("const.mac")$ /* [wxMaxima: input end ] */ /* [wxMaxima: section start ] Вариант [wxMaxima: section end ] */ /* [wxMaxima: subsect start ] Задача (2б) [wxMaxima: subsect end ] */ /* [wxMaxima: comment start ] По графику на рисунке определите длину волны и амплитуду колебаний [wxMaxima: comment end ] */ /* [wxMaxima: input start ] */ disp("Дано:")$ disp("Найти:")$ disp("Уравнения:")$ disp("Решение:")$ disp("Ответ:")$ ans: [λ=18`cm, A_=12`cm]$ for i: 1 thru length(ans) do disp(ans[i])$ kill(ans)$ /* [wxMaxima: input end ] */ /* [wxMaxima: caption start ] /home/alex/Загрузки/v0.png [wxMaxima: caption end ] */ /* [wxMaxima: image start ] png 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 [wxMaxima: image end ] */ /* [wxMaxima: subsect start ] Задача (5б) [wxMaxima: subsect end ] */ /* [wxMaxima: comment start ] Тело совершает 1234 полных колебаний за 5.67 часа. Определите период и частоту колебаний. [wxMaxima: comment end ] */ /* [wxMaxima: input start ] */ disp("Дано:")$ set: [N_=1234, t_=5.68`hour``s]$ for i: 1 thru length(set) do disp(set[i])$ disp("Найти:")$ fnd: [T_, ν]$ for i: 1 thru length(fnd) do disp(fnd[i])$ disp("Уравнения:")$ eq: [T_=t_/N_, ν=N_/t_]$ for i: 1 thru length(eq) do disp(eq[i])$ disp("Решение:")$ ans: solve(eq, fnd)$ for i: 1 thru length(ans[1]) do disp(ans[1][i])$ disp("Ответ:")$ for i: 1 thru length(ans[1]) do disp(ev(constvalue(ans[1][i]), set, numer))$ kill(set, fnd, eq, ans)$ /* [wxMaxima: input end ] */ /* [wxMaxima: subsect start ] Задача (5б) [wxMaxima: subsect end ] */ /* [wxMaxima: comment start ] Определите период и длину волны ноты Ре (♪ D4) в воздухе. Частота этой ноты 293.66 Гц, а скорость распространения звука в воздухе 0.334 км/с. [wxMaxima: comment end ] */ /* [wxMaxima: input start ] */ disp("Дано:")$ set: [ν=293.66`Hz, v=.334`km/s``m/s]$ for i: 1 thru length(set) do disp(set[i])$ disp("Найти:")$ fnd: [T_, λ]$ for i: 1 thru length(fnd) do disp(fnd[i])$ disp("Уравнения:")$ eq: [T_=1/ν, v=λ/T_]$ for i: 1 thru length(eq) do disp(eq[i])$ disp("Решение:")$ ans: solve(eq, fnd)$ for i: 1 thru length(ans[1]) do disp(ans[1][i])$ disp("Ответ:")$ for i: 1 thru length(ans[1]) do disp(ev(constvalue(ans[1][i]), set, numer))$ kill(set, fnd, eq, ans)$ /* [wxMaxima: input end ] */ /* [wxMaxima: subsect start ] Задача (6б) [wxMaxima: subsect end ] */ /* [wxMaxima: comment start ] Юрий Шевчук на берегу Невы наблюдал как за 54 мин о берег ударилось 32 волны. Скорость распространения волны 1.0 м/с. Каковы длина волны и период колебаний? [wxMaxima: comment end ] */ /* [wxMaxima: input start ] */ disp("Дано:")$ set: [t_=54`minute``s,N_=32, v=1.0`m/s]$ for i: 1 thru length(set) do disp(set[i])$ disp("Найти:")$ fnd: [T_, λ]$ for i: 1 thru length(fnd) do disp(fnd[i])$ disp("Уравнения:")$ eq: [T_=t_/(N_-1), v=λ/T_]$ for i: 1 thru length(eq) do disp(eq[i])$ disp("Решение:")$ ans: solve(eq, fnd)$ for i: 1 thru length(ans[1]) do disp(ans[1][i])$ disp("Ответ:")$ for i: 1 thru length(ans[1]) do disp(ev(constvalue(ans[1][i]), set, numer))$ kill(set, fnd, eq, ans)$ /* [wxMaxima: input end ] */ /* Old versions of Maxima abort on loading files that end in a comment. */ "Created with wxMaxima 20.12.1"$