Программирование

Тип работы: Все Задача Курсовая работа Лабораторная работа Ответы на вопросы
Язык программирования: Все Bash Basic Batch C C# C# ASP .NET C++ Delphi Fortran Free Basic HTML Java JavaScript Object Pascal Pascal Pascal ABC Python Turbo Pascal VBA Visual Basic алгоритмические языки Ассемблер
Блок-схема: Все Есть Нет
Сортировать по умолчанию цене названию
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    1. Сформировать и вывести на экран целочисленный массив, элементы ко­торого заданы датчиком случайных чисел на интервале [-15, 15] (размер 10 элементов), вставить на 7 место значе­ние 100. Вывести исходный и новый массив.
    2. В произвольном массиве найти но­мер последнего нечетного элемента.
    3. В произвольном массиве найти ко­личество положительных четных эле­ментов массива.
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

  • Задание 5

    а)      Найти сумму элементов главной диагонали массива 10*10.

    б)      Найти сумму элементов побочной диагонали массива 10*10.

    Задание 6

    А)1айти сумму элементов, стоящих над главной диагональю массива 10*10.

    Б) Найти сумму элементов, стоящих под главной диагональю массива 10*10.

  • Начертить узор, образованный 20 вложенными пятиугольниками. Одна сторона первого пятиугольника
    параллельно горизонтальной оси экрана. Вершины каждого последующего пятиугольника
    – это точки на сторонах предыдущего пятиугольника, делящие эти стороны в отношении
    m=0.08
    решить задачу на паскалеABC, через модуль граф

  • Вариант 1.

    1. Сформировать с помощью датчика случайных чисел и вывести на экран матрицу, размером MxN. Элементы задаются на интервале [-20, 25].

    1. Найти произведение элементов первой и третьей строк матрицы NxN.
    2. Найти наибольший элемент в третьем столбце матрицы и выведите его индексы.
  • 1. Сформировать с помощью датчика случайных чисел и вывести на экран матрицу, размером MxN. Элементы задаются на интервале [-30, 30].

    2. Найти сумму элементов третьей строки и второго столбца матрицы NxN.

  • Дан текст из некоторою количества предложений. Предложения разделяются знаком - точка с запятой. Разделить текст на отдельные предложения Вывести исходный текст, результат обработки текста и длину каждого полученного предложения

  • Решить 5 задач по Алгоритмизация и программирование

    Задача 1

    Составить блок - схему алгоритма, написать программу на Паскале, вычислить значения переменных по заданным расчетным формулам и наборам данных:

    Задача 2.

    Составить программу, которая по заданным х и у определяет, принадлежит ли точка М(х, у) заштрихованной области.

    Задача 3.

    Даны натуральное число п и последовательность целых чисел аь а2, ... , ап. Составить блок-схему алгоритма, написать программу и провести вычисления в соответствии с заданием.

    Задача 4.

    Дана действительная матрица А размера m х п. Составить блок-схему алгоритма, написать программу и провести вычисления в соответствии с заданием.

    Задание 2.

    Написать программу, которая определяет, попадает ли точка с заданными координатами в область, закрашенную на рисунке серым цветом. Результат работы программы вывести в виде текстового сообщения.

  • Контрольная, Программирование  Решить одно задание

    Четырехзначное число N разбили по центру на два двузначных числа: a и b. Найти все числа, для которых выполняется условие (a+b)^2 = N

  • Разработать программу создания и корректировки файла содержащего сведения о студентах каждый элемент этого файла должен содержать следующие данные :номер группы, номер в группе по списку, фио , год рождения, оценки за последнюю сессию .программа должна предусматривать создание текстового файла содержащего информацию о студентов заданной группы.

  • 1. В одномерном числовом массиве найти сумму простых ее членов.
    2. Для заданного целочисленного массива найти N x N найти максимум среди сумм элементов диагоналей, параллельных главной диагонали.

    Оформить вторую задачу из лабораторной с использованием модуля.

  • Дан текстовый файл f1. Переписать его содержимое в файл f2, сохраняя строчную структуру и удаляя пустые строки.

  • Задание № 1

    Вопрос № 1.

    Какого типа переменным можно присваивать значения переменных другого типа?

    Вопрос № 2

    Какие типы в языке Pascal относятся к порядковым типам?

    Вопрос № 3

    Чем отличается символьный тип от строкового?

    Вопрос № 4

    Назвать диапазоны допустимых значений для целых и вещественных типов данных.

    Вопрос № 5

    Какие операторы можно использовать с логическим (BOOLEAN) типом, какие операторы возвращают значения логического типа?

    Вопрос № 6

    Как объявляются перечислимые типы данных?

    Вопрос № 7

    Какое максимальное число элементов перечислимого типа?

    Вопрос № 8

    Привести пример ограниченного типа данных.

    Вопрос № 9

    Можно ли в качестве элементов ограниченного типа использовать вещественные числа?

     

    Вопрос № 10

    Какова максимально возможная длина строки и какова длина строки по умолчанию (без её явного объявления)?

    Вопрос № 11

    Каков порядок выполнения арифметических операций?

     

    Вопрос № 12

    Каков порядок выполнения логических операций?

    Вопрос № 13

    Какой тип операндов у операций отношения и у логических операций?

    Вопрос № 14

    Какого типа переменные Z и Y в программе, содержащей строку:

    Вопрос № 15

    Переменные какого типа можно использовать в качестве параметров цикла FORTODO?

    Вопрос № 16

    В чем отличие циклов WhileDo от RepeatUntil?

    Вопрос № 17

    В каких операторах цикла допускается изменять параметр цикла, а в каких нет?

    Вопрос № 18

    Определение массива.

    Вопрос № 19

    Переменные какого типа можно использовать в качестве индексов массива?

    Вопрос № 20

    Какие объекты (переменные, выражения и т.д.) можно использовать в качестве индексов массива?

    Вопрос № 21

    Какова структура программы?

    Вопрос № 22

    Для чего используется составной оператор?

    Вопрос № 23

    Для чего используются операторы цикла и логический оператор?

    Задание 2

    Перевести числа 1234 и 4321 в двоичный и шестнадцатеричный вид.

    Задание 3

    Составить программу, в которой с помощью оператора While подсчитать сумму ряда:

     

    до тех пор пока член ряда не будет меньше 0,005.

    Задание 4

     

    Составить программу, в которой с помощью оператора While организовать цикл, в котором значения параметра t менялись от 0.5 до 5 с шагом h = 0.1. Вывести на экран значения t и функции.

     

    Задание 5

     

    Составить программу, в которой с помощью оператора For подсчитать сумму ряда:

     

    Задание 6

    Составить программу, в которой с помощью оператора REPEAT протабулировать функцию y=2*x+0.33 в диапазоне параметра от 1 до 5 с шагом 0.25.

    Задание 7

    Составить программу, в которой составить массив C[1..100] из псевдослучайных символов из диапазона CHR(65)-CHR(90) и определить количество символов 'A','B','C' и 'D'.

    Задание 8

    Составить программу, в которой сформировать двумерный целочисленный массив А[1..30,1..30] из случайных целых чисел и определить количество элементов массива, значения которых больше 20.

     

     

     

     

     

     

     

  • 1.Текстовая лабораторная работа № 1. Задание на лабораторную работу № 1 размещено: Учебное методическое пособие Время не ограничено.
    Каждое контрольное задание в составе лабораторных работ состоит
    из нескольких задач, требующих разработки программ на Паскале (можно
    использовать PascalABC). Использование Delphi не допускается. Разработанные и отлаженные программы (обязательно сопровождающиеся комментариями в тексте), а также отчет по каждой лабораторной работе
    студент по мере освоения соответствующих разделов языка программирования отправляет на проверку.
    Текстовая лабораторная работа № 2. Задание на лабораторную работу № 2 размещено: Учебное методическое пособие.Время не ограничено
    созданию программ с использованием массивов (одномерных и матриц) и множеств.

  • Решить 1 задачу в Паскале

    Задача 4  – это написание программы на языке Паскаль

    Содержание отчета к решениям задач 4

    1. Номер задачи.

    2. Постановка задачи по варианту.

    3. Блок-схема алгоритма.

    4. Исходные данные для программы.

    5. Текст программы на языке Паскаль.

    6. Результаты расчета

     

    Задание:   Переписать положительные элементы целочисленного массива Х[15] в массив У[15]. (Элементы массива Х вводятся с клавиатуры). Незаполненные элементы массива У считать нулевыми. Вывести массивы Х и У на экран.

  • 1. Создать класс квадрат, свойства класса– длина стороны. Предусмотреть в классе методы вычисления и вывода сведений о фигуре – диагональ, периметр, площадь. Создать производный класс – правильная квадратная призма с высотой H, добавить в класс метод определения объема фигуры, перегрузить методы расчета площади и вывода сведений о фигуре.