Need this Urgent. FInal answer is enough.
3. What would be the three main actions that occur during
each second of simulated time in the car wash simulation?
Group of answer choices
1. Sometimes add a new customer to the arrivals queue.
2. Start a new car through the washer when a car in washer finishes the washing..
3. Tell the washer that another second has passed.
1. At any secone add maximun of two new customers to the arrivals queue.
2. Sometimes start a new car through the washer.
3. Tell the washer that another second has passed.
1. Sometimes add a new customer to the arrivals queue.
2. Sometimes start a new car through the washer.
3. Check the washer what time is it now.
1. Sometimes add a new customer to the arrivals queue.
2. Sometimes start a new car through the washer.
3. Tell the washer that another second has passed.
1. At any secone add maximun of two new customers to the arrivals queue.
2. Start a new car through the washer when a car in washer finishes the washing..
3. Check the washer what time is it now..
Question 6
What statement is the most appropriate?
Group of answer choices
A queue can be used to buffer data in a LIFO fashion that is being sent from a fast computer
component to a slower component.
A queue can be used to buffer data in a LIFO fashion that is being sent from a slower computer
component to a quicker component.
A queue can be used to buffer data in a FIFO fashionthat is being sent from a fast computer
component to a slower component.
A queue can be used to buffer data in a LIFO fashion that is being sent from any computer
component to any other components.
A queue can be used to buffer data in a FIFO fashion that is being sent from a slower computer
component to a quicker component.
Flag question: Question 7
The following f1 function is a new constant member function of the queue class in section 8.3.
template <class Item>
Item queue<Item>::f1( ) const
{
assert(size( ) > 0);
return data[last];
}
What is the best statement about f1 function?
Group of answer choices
It returns a copy of the item at the rear of the queue and is for the linked-list version of the queue.
It returns a copy of the next item of the queue and is for the array version of the queue.
It returns a copy of the item at the rear of the queue and is for the array version of the queue.
.
It returns a copy of the item at the front of the queue and is for the array version of the queue.
It returns a copy of the next item of the queue and is for the linked-list version of the queue.
Question 13
What is the output produced by the function call exercise(4), for the following definition?
void exercise(int n)
{
cout << n << endl;
if (n > 1)
exercise(n-1);
cout << n << endl;
}
Group of answer choices
4
3
2
1
1
1
1
1
4
3
2
1
4
3
2
1
4
3
2
1
4
3
2
1
1
2
3
4
1
2
3
4
Flag question: Question 14
What is the best description of f1 function?
unsigned int f1(unsigned int n)
{
if (n == 1)
return 1;
else
return f1(n-1)+(2*n - 1);
}
Group of answer choices
The.
Iterators in Python allow iteration over iterable objects like lists, tuples, dicts and sets. An iterator is initialized using the iter() method and iterates using the next() method. For loops internally use iter() and next() to iterate. Custom iterators can also be defined by implementing the __iter__() and __next__() methods. Some key differences between recursion and iteration are that recursion involves function calls while iteration uses loops, and recursion has greater overhead. Common algorithms like factorial, Fibonacci sequence and Tower of Hanoi can be implemented using both recursion and iteration.
Control structures determine the flow of execution of code in a program. There are three main types of control structures: sequential, selection, and iteration. Sequential execution runs code in order. Selection (if/else statements) allows branching based on conditions. Iteration (loops) repeats code. Common loop structures are while, for, and nested loops. Loop control statements like break, continue, and pass alter normal loop execution.
Basics of Iterators and Generators,Uses of iterators and generators in python. advantage of iterators and generators. difference between generators and iterators.
The document discusses procedural abstraction and functions that return values in programming. It covers topics like top-down design, predefined functions, programmer-defined functions, procedural abstraction, local variables, and overloading function names. Some key points include breaking problems into smaller subtasks using top-down design, how predefined and programmer-defined functions work, the use of return values, and how procedural abstraction hides implementation details through a "black box" approach.
Java is a computer programming language that is concurrent, class-based, object-oriented, and specifically designed to have as few implementation dependencies as possible.
This chapter discusses repetition and looping control structures in Java, including while, for, and do-while loops. It covers different types of loops like counter-controlled, sentinel-controlled, flag-controlled, and EOF-controlled loops. It also discusses break and continue statements, nested control structures, and provides examples of using loops to solve problems.
The document discusses loops and iterations in Python programming. It introduces while and for loops. While loops repeat a block of code until a test condition is false. For loops are generally used to iterate over lists, tuples, strings, etc. The document provides examples of using while loops to calculate factorial, exponentiation, and the terms of arithmetic and geometric progressions. It also discusses using loops to generate patterns by nesting for loops, with the outer loop iterating over rows and the inner loop producing a variable number of stars in each row based on the row number.
Effective Algorithm for n Fibonacci Number By: Professor Lili SaghafiProfessor Lili Saghafi
Understand the definition of the Fibonacci numbers.
Understand the definition of the Recursive / Recursive Functions
Show that the naive algorithm for computing them is slow.
Efficiently create algorithms to compute large Fibonacci numbers.
The right algorithm makes all the difference.
Iterators in Python allow iteration over iterable objects like lists, tuples, dicts and sets. An iterator is initialized using the iter() method and iterates using the next() method. For loops internally use iter() and next() to iterate. Custom iterators can also be defined by implementing the __iter__() and __next__() methods. Some key differences between recursion and iteration are that recursion involves function calls while iteration uses loops, and recursion has greater overhead. Common algorithms like factorial, Fibonacci sequence and Tower of Hanoi can be implemented using both recursion and iteration.
Control structures determine the flow of execution of code in a program. There are three main types of control structures: sequential, selection, and iteration. Sequential execution runs code in order. Selection (if/else statements) allows branching based on conditions. Iteration (loops) repeats code. Common loop structures are while, for, and nested loops. Loop control statements like break, continue, and pass alter normal loop execution.
Basics of Iterators and Generators,Uses of iterators and generators in python. advantage of iterators and generators. difference between generators and iterators.
The document discusses procedural abstraction and functions that return values in programming. It covers topics like top-down design, predefined functions, programmer-defined functions, procedural abstraction, local variables, and overloading function names. Some key points include breaking problems into smaller subtasks using top-down design, how predefined and programmer-defined functions work, the use of return values, and how procedural abstraction hides implementation details through a "black box" approach.
Java is a computer programming language that is concurrent, class-based, object-oriented, and specifically designed to have as few implementation dependencies as possible.
This chapter discusses repetition and looping control structures in Java, including while, for, and do-while loops. It covers different types of loops like counter-controlled, sentinel-controlled, flag-controlled, and EOF-controlled loops. It also discusses break and continue statements, nested control structures, and provides examples of using loops to solve problems.
The document discusses loops and iterations in Python programming. It introduces while and for loops. While loops repeat a block of code until a test condition is false. For loops are generally used to iterate over lists, tuples, strings, etc. The document provides examples of using while loops to calculate factorial, exponentiation, and the terms of arithmetic and geometric progressions. It also discusses using loops to generate patterns by nesting for loops, with the outer loop iterating over rows and the inner loop producing a variable number of stars in each row based on the row number.
Effective Algorithm for n Fibonacci Number By: Professor Lili SaghafiProfessor Lili Saghafi
Understand the definition of the Fibonacci numbers.
Understand the definition of the Recursive / Recursive Functions
Show that the naive algorithm for computing them is slow.
Efficiently create algorithms to compute large Fibonacci numbers.
The right algorithm makes all the difference.
C++ Loops General Discussion of Loops A loop is a.docxhumphrieskalyn
C++ Loops
General Discussion of Loops
A loop is a programming construct that allows a group of statements, called the loop body, to be
executed zero or more times. For example, a loop might cause a group of statements to be executed
12 times.
A loop is controlled in part by the loop continuation condition. As long as the loop continuation
condition remains true, the loop will continue to execute. In order for a loop to stop, it must have a
terminating action, i.e. statement(s) in the loop body which when executed insure that the
continuation condition will eventually become false.
A loop control variable is a variable whose change may cause the continuation condition to
become false. A common error is to not initialize the control variable. To help ensure that the loop
does not become an infinite loop, always make sure to do the following three things with the LCV
(loop control variable):
1) Initialize the LCV, almost always done before the loop.
2) Test the LCV, this is done inside the continuation condition.
3) Update or change the LCV, inside the loop body.
There are three kinds of loops that are commonly available in programming languages.
1) The while loop executes an indefinite and possibly zero number of repetitions.
2) The do-while loop executes an indefinite number of times, but always at least once.
3) The for loop is convenient when the number of repetitions is known in advance.
C++ Loops
The above three loop types are available in C and C++, but the while loop is the most often used;
lets see some examples.
Example 1: A while loop that determines the number of digits in a positive integer, N. Assume that
N has previously been declared and given a value.
int Copy = N; // don’t want to destroy N!
DigitCount = 1; // all numbers have at least 1 digit
while ( Copy >= 10) // count the rest of the digits
{
++DigitCount; // found one more digit
Copy /= 10; // get rid of rightmost digit
}
When the loop finishes, DigitCount holds the number of digits in the integer N.
Example 2: A do-while loop that determines the number of digits in integer, N, same as above.
int Copy = N; // don’t destroy original N
DigitCount = 0; // do-while loop will increment this at least once
do
{
++DigitCount; // found one more digit
Copy /= 10; // get rid of rightmost digit
}
while ( Copy != 0); // count the rest of the digits. Note the ‘;’
A for loop could also be used to count digits, but let’s instead look at an example more suited to the
strong points of the for loop.
Example 3: A loop to print all of the upper case letters.
char Ch;
for ( Ch = ‘A’; Ch <= ‘Z’; ++Ch )
cout << Ch;
This loop is equivalent to the following while loop:
char Ch;
Ch = ‘A’;
while ( Ch <= ‘Z’ )
{
cout << Ch;
++Ch;
}
The following rules are used by C++ when executing ...
Spring 2014 CSCI 111 Final exam of 1 61. (2 points) Fl.docxrafbolet0
Spring 2014 CSCI 111 Final exam � of �1 6
1. (2 points) Flip over this test. On the back of this test write your name in the upper, left-hand
corner.
2. (2 points) What are the four parts of the compiling process (just give me 4 words, not a
paragraph).
3. (4 points) Which of the four steps of the compiling process occurs only once, regardless of
the number of source files your application has?
4. (4 points) Write a line of code that causes the preprocessor to generate an error.
5. (4 points) Write a line of code that causes the compiler to generate an error.
6. (5 points) Describe how you could incorrectly compile the joust project to cause the linker to
generate an error.
7. (5 points) Given:
1 float* fp;
2 //...
3 float pi;
4 pi=*(314 + fp);
Rewrite line 4 using array subscript notation.
Spring 2014 CSCI 111 Final exam � of �2 6
8. (5 points) Given:
1 float arr[100];
2 for(int x=0; x<100; ++x)
3 arr[x]=100-x;
What does the following expression print out?
cout << *arr << endl;
9. (14 points) Given:
int a=0;
int b=6;
int x=0;
Circle each if-expression that evaluates to true:
A) if(b)
B) if(x)
C) if(a=b==6)
D) if(a=b==5)
E) if(a=b=5)
F) if(a=x=0)
G) if(a=x==0)
Spring 2014 CSCI 111 Final exam � of �3 6
10. (10 points) Given:
1 #include<iostream>
2 using namespace std;
3
4 int main()
5 {
6 int x;
7 cout << "Enter a number greater than 10" << endl;
8 while ( x < 10 )
9 {
10 cin >> x;
11 }
12 return 0;
13 }
This program compiles just fine, and sometimes it runs as expected. But sometimes when you
run it, it exits immediately after printing "Enter a number greater than 10". That is, the program
doesn't pause for you to enter a number. Why are you getting this inconsistent behavior?
11. (4 points) What is the output of the following:
int x=4;
int y=3;
A) cout << x / y << endl;
B) cout << x % y << endl;
C) cout << x << "%" << y << endl;
D) cout << "x" << '%' << 'y' << endl;
Spring 2014 CSCI 111 Final exam � of �4 6
12. (16 points) What is the type of the expression. That is, what is the kind of thing that each
expression evaluates to. For example:
3 + 4 integer
You may assume that the variable a has been declared as an integer.
A. a + 4
B. a = 4
C. 3.14 + 4.49
D. 3 + 3.14
E. 'a'
F. cout << a
G. new float[30]
H. new float
Spring 2014 CSCI 111 Final exam � of �5 6
13. (5 points) Write a for-loop that prints out the numbers between 1 and 100 that are evenly
divisible by three.
14. (5 points) Write a while-loop that prints out the numbers between 1 and 100 that are evenly
divisible by three.
15. (5 points) Write a do-while-loop that prints out the numbers between 1 and 100 that are
evenly divisible by three.
Spring 2014 CSCI 111 Final exam � of �6 6
16. (10 points) Given:
1 #include<iostream>
2
3 class Willow {
4 publi.
Event Stream Processing with BeepBeep 3Sylvain Hallé
Event logs and event streams can be found in software systems of very diverse kinds. Analyzing the wealth of information contained in these logs can serve multiple purposes. In this tutorial, the audience will learn about BeepBeep, a versatile Java library intended to make the processing of event streams (either offline or in realtime) both fun and simple. BeepBeep is the result of more than a decade of research led by a team at Laboratoire d’informatique formelle at Université du Québec à Chicoutimi (Canada). Over the past few years, BeepBeep has been involved in a variety of case studies, and provides built-in support for writing domain-specific languages. Recently, a complete textbook has been published on BeepBeep, testifying to the maturity that the system has acquired.
Python Session - 4
if
nested-if
if-else
elif (else if)
for loop (for iterating_var in sequence: )
while loop
break
continnue
pass
What is a function in Python?
Types of Functions
How to Define & Call Function
Scope and Lifetime of variables
lambda functions(anonymous functions)
C Programming Language Tutorial for beginners - JavaTpointJavaTpoint.Com
JavaTpoint share a presentation of C Programming language for beginners and professionals. now in this slideshare you will be learned basics of c programming language, what is c programming language, history of c programming, installing turbo c, features of c programming language, datatypes of c language, operaters in c, control statement of c language, c language functions, c array, pointer in c programming, and structure and union.
Recursion vs. Iteration: Code Efficiency & Structurecogaxor346
This presentation delves into the Recursion vs. Iteration debate, highlighting their operational disparities. Recursion, though elegant, demands caution to prevent system crashes due to infinite loops. While it offers compact code, it suffers from slower execution and increased memory usage. Conversely, iteration, driven by repetition structures, boasts faster performance and lesser memory consumption. Examples illustrate the essence and application of recursion, emphasizing the need for terminating conditions. Additionally, the presentation touches upon modular programming principles and introduces lambda functions and the pass statement, elucidating their roles in code structure and execution control.
While-For-loop in python used in collegessuser7a7cd61
This document discusses loops in Python programming. It covers for loops, range functions, break/continue/pass statements, booleans, while loops, and nested loops. Some key points:
- For loops iterate over sequences like lists and strings, while loops repeat code while a condition is true.
- Range functions generate numeric sequences for use in for loops. They can specify a start, end, and optional step size.
- Break/continue/pass are loop control statements - break exits the loop, continue skips to the next iteration.
- Boolean values are True or False and are used to check conditions in loops.
- Nested loops involve loops within other loops, like a for loop inside a for loop.
The document discusses the technique of dynamic programming. It begins with an example of using dynamic programming to compute the Fibonacci numbers more efficiently than a naive recursive solution. This involves storing previously computed values in a table to avoid recomputing them. The document then presents the problem of finding the longest increasing subsequence in an array. It defines the problem and subproblems, derives a recurrence relation, and provides both recursive and iterative memoized algorithms to solve it in quadratic time using dynamic programming.
This document discusses writing your own functions in Python. It begins by explaining that functions allow you to make code reusable and simplify programs. Functions take arguments, perform operations, and can return values. The document then provides examples of defining, calling, and returning values from functions. It highlights important aspects of functions like arguments, return statements, and scope.
The document discusses various control flow statements in C programming such as decision control statements (if, if-else, switch-case), looping statements (for, while, do-while loops), break, continue, goto, and functions. It provides examples of using each statement type and explains their syntax and usage. Key aspects like scope of variables, parameter passing methods (call by value, call by reference), and storage classes (auto, static, extern) related to functions are also covered in the document.
The document discusses procedural abstraction and functions that return values in programming. It covers the following topics:
- Top-down design for breaking problems into subtasks and functions.
- Predefined functions provided by libraries that perform operations like square roots.
- Defining your own functions through declarations that specify parameters and return types, and definitions that implement the function body.
- Calling functions by name and passing arguments.
- Information hiding through procedural abstraction where functions act as "black boxes".
This document discusses functions and procedural abstraction in C++. It covers:
- Top-down design and breaking problems into subtasks that can be implemented as functions
- Predefined and programmer-defined functions, including function declarations and definitions
- Passing arguments to functions by value and type casting
- Designing functions as "black boxes" using procedural abstraction to hide implementation details
- Scope of variables, including local variables within functions versus global variables
Operators and expressions are fundamental concepts in Python programming. The document discusses various types of operators used to manipulate operands, including arithmetic, comparison, assignment, logical, bitwise, and membership operators. It also covers expressions, which are combinations of operators and operands that evaluate to a value. Several types of expressions are described, such as constant, arithmetic, integral, floating, relational, logical, bitwise, and combinational expressions. Control flow statements like if, if-else, if-elif-else are also covered, along with looping using for and while loops and the break, continue, and pass statements.
Lazy Java by Mario Fusco
Like all imperative languages Java is, with some minor but notable exceptions, an eagerly evaluated programming language. Nevertheless the introduction of lambdas in Java 8 also allowed the adoption of some lazy patterns and data structures that are more typically employed in functional languages. Streams represent the most evident example of how also native Java API has taken advantage of laziness, but there is a number of other interesting scenarios where laziness can be an effective solution to quite common problems. In fact laziness is the only possible technique to process potentially infinite amount of data, or more in general to delay the expensive evaluation of an expression only when and if it is necessary. But laziness is even more than that: for instance the reader monad delays not only a computation but also the need of external dependencies thus lowering the abuse of dependency injection, while a trampoline uses laziness to delay and then linearize recursive calls preventing the overflow of the stack. The purpose of this talk is illustrating why and how implementing laziness in Java with practical examples delivered with both slides and live coding sessions.
The document discusses lazy evaluation and how it can improve performance by avoiding unnecessary computations. Some key points:
- Lazy evaluation delays evaluating expressions until their values are needed. This allows for optimizations like avoiding evaluating function arguments that are not used.
- Languages like Java are strict, meaning functions always immediately evaluate their arguments. But some constructs like boolean operators and ternary expressions are lazily evaluated for efficiency.
- Lazy evaluation enables infinite streams, as in Java 8, since intermediate operations are not computed until a terminal operation triggers the full pipeline.
- Some algorithms like generating primes cannot reasonably be implemented without laziness. It allows separating problem description from evaluation.
- Implementing laziness in Java requires
Mario Fusco - Lazy Java - Codemotion Milan 2018Codemotion
Like all imperative languages Java is eagerly evaluated, but the introduction of lambdas allowed the adoption of some lazy patterns and data structures that are typically functional. Streams are the most evident example of a native Java API using laziness, but there are other cases where laziness is an effective solution to common problems. In fact it makes possible to process infinite amount of data, but it is even more than that. This talk shows why and how implementing laziness in Java with practical examples delivered with both slides and live coding sessions.
A 17yearold high school student has mild cognitive deficit.pdfabishektex
A 17-year-old high school student has mild cognitive deficits secondary to a TBI. The student has
not been turning in homework assignments or completing household chores. When questioned
about activities, the student reports spending 4 to 5 hours a day watching television and 2 to 3
hours on internet-based social media sites. What should be the focus of intervention based on the
student's behaviors?.
11 Is it possible that one can find an algorithm to find th.pdfabishektex
Yes, it is possible to find an algorithm to calculate the Fibonacci numbers Fn with linear time complexity O(n). The key insight is that each Fibonacci number Fn can be expressed as a linear combination of the previous two numbers, allowing us to iteratively calculate the values in a single pass.
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C++ Loops General Discussion of Loops A loop is a.docxhumphrieskalyn
C++ Loops
General Discussion of Loops
A loop is a programming construct that allows a group of statements, called the loop body, to be
executed zero or more times. For example, a loop might cause a group of statements to be executed
12 times.
A loop is controlled in part by the loop continuation condition. As long as the loop continuation
condition remains true, the loop will continue to execute. In order for a loop to stop, it must have a
terminating action, i.e. statement(s) in the loop body which when executed insure that the
continuation condition will eventually become false.
A loop control variable is a variable whose change may cause the continuation condition to
become false. A common error is to not initialize the control variable. To help ensure that the loop
does not become an infinite loop, always make sure to do the following three things with the LCV
(loop control variable):
1) Initialize the LCV, almost always done before the loop.
2) Test the LCV, this is done inside the continuation condition.
3) Update or change the LCV, inside the loop body.
There are three kinds of loops that are commonly available in programming languages.
1) The while loop executes an indefinite and possibly zero number of repetitions.
2) The do-while loop executes an indefinite number of times, but always at least once.
3) The for loop is convenient when the number of repetitions is known in advance.
C++ Loops
The above three loop types are available in C and C++, but the while loop is the most often used;
lets see some examples.
Example 1: A while loop that determines the number of digits in a positive integer, N. Assume that
N has previously been declared and given a value.
int Copy = N; // don’t want to destroy N!
DigitCount = 1; // all numbers have at least 1 digit
while ( Copy >= 10) // count the rest of the digits
{
++DigitCount; // found one more digit
Copy /= 10; // get rid of rightmost digit
}
When the loop finishes, DigitCount holds the number of digits in the integer N.
Example 2: A do-while loop that determines the number of digits in integer, N, same as above.
int Copy = N; // don’t destroy original N
DigitCount = 0; // do-while loop will increment this at least once
do
{
++DigitCount; // found one more digit
Copy /= 10; // get rid of rightmost digit
}
while ( Copy != 0); // count the rest of the digits. Note the ‘;’
A for loop could also be used to count digits, but let’s instead look at an example more suited to the
strong points of the for loop.
Example 3: A loop to print all of the upper case letters.
char Ch;
for ( Ch = ‘A’; Ch <= ‘Z’; ++Ch )
cout << Ch;
This loop is equivalent to the following while loop:
char Ch;
Ch = ‘A’;
while ( Ch <= ‘Z’ )
{
cout << Ch;
++Ch;
}
The following rules are used by C++ when executing ...
Spring 2014 CSCI 111 Final exam of 1 61. (2 points) Fl.docxrafbolet0
Spring 2014 CSCI 111 Final exam � of �1 6
1. (2 points) Flip over this test. On the back of this test write your name in the upper, left-hand
corner.
2. (2 points) What are the four parts of the compiling process (just give me 4 words, not a
paragraph).
3. (4 points) Which of the four steps of the compiling process occurs only once, regardless of
the number of source files your application has?
4. (4 points) Write a line of code that causes the preprocessor to generate an error.
5. (4 points) Write a line of code that causes the compiler to generate an error.
6. (5 points) Describe how you could incorrectly compile the joust project to cause the linker to
generate an error.
7. (5 points) Given:
1 float* fp;
2 //...
3 float pi;
4 pi=*(314 + fp);
Rewrite line 4 using array subscript notation.
Spring 2014 CSCI 111 Final exam � of �2 6
8. (5 points) Given:
1 float arr[100];
2 for(int x=0; x<100; ++x)
3 arr[x]=100-x;
What does the following expression print out?
cout << *arr << endl;
9. (14 points) Given:
int a=0;
int b=6;
int x=0;
Circle each if-expression that evaluates to true:
A) if(b)
B) if(x)
C) if(a=b==6)
D) if(a=b==5)
E) if(a=b=5)
F) if(a=x=0)
G) if(a=x==0)
Spring 2014 CSCI 111 Final exam � of �3 6
10. (10 points) Given:
1 #include<iostream>
2 using namespace std;
3
4 int main()
5 {
6 int x;
7 cout << "Enter a number greater than 10" << endl;
8 while ( x < 10 )
9 {
10 cin >> x;
11 }
12 return 0;
13 }
This program compiles just fine, and sometimes it runs as expected. But sometimes when you
run it, it exits immediately after printing "Enter a number greater than 10". That is, the program
doesn't pause for you to enter a number. Why are you getting this inconsistent behavior?
11. (4 points) What is the output of the following:
int x=4;
int y=3;
A) cout << x / y << endl;
B) cout << x % y << endl;
C) cout << x << "%" << y << endl;
D) cout << "x" << '%' << 'y' << endl;
Spring 2014 CSCI 111 Final exam � of �4 6
12. (16 points) What is the type of the expression. That is, what is the kind of thing that each
expression evaluates to. For example:
3 + 4 integer
You may assume that the variable a has been declared as an integer.
A. a + 4
B. a = 4
C. 3.14 + 4.49
D. 3 + 3.14
E. 'a'
F. cout << a
G. new float[30]
H. new float
Spring 2014 CSCI 111 Final exam � of �5 6
13. (5 points) Write a for-loop that prints out the numbers between 1 and 100 that are evenly
divisible by three.
14. (5 points) Write a while-loop that prints out the numbers between 1 and 100 that are evenly
divisible by three.
15. (5 points) Write a do-while-loop that prints out the numbers between 1 and 100 that are
evenly divisible by three.
Spring 2014 CSCI 111 Final exam � of �6 6
16. (10 points) Given:
1 #include<iostream>
2
3 class Willow {
4 publi.
Event Stream Processing with BeepBeep 3Sylvain Hallé
Event logs and event streams can be found in software systems of very diverse kinds. Analyzing the wealth of information contained in these logs can serve multiple purposes. In this tutorial, the audience will learn about BeepBeep, a versatile Java library intended to make the processing of event streams (either offline or in realtime) both fun and simple. BeepBeep is the result of more than a decade of research led by a team at Laboratoire d’informatique formelle at Université du Québec à Chicoutimi (Canada). Over the past few years, BeepBeep has been involved in a variety of case studies, and provides built-in support for writing domain-specific languages. Recently, a complete textbook has been published on BeepBeep, testifying to the maturity that the system has acquired.
Python Session - 4
if
nested-if
if-else
elif (else if)
for loop (for iterating_var in sequence: )
while loop
break
continnue
pass
What is a function in Python?
Types of Functions
How to Define & Call Function
Scope and Lifetime of variables
lambda functions(anonymous functions)
C Programming Language Tutorial for beginners - JavaTpointJavaTpoint.Com
JavaTpoint share a presentation of C Programming language for beginners and professionals. now in this slideshare you will be learned basics of c programming language, what is c programming language, history of c programming, installing turbo c, features of c programming language, datatypes of c language, operaters in c, control statement of c language, c language functions, c array, pointer in c programming, and structure and union.
Recursion vs. Iteration: Code Efficiency & Structurecogaxor346
This presentation delves into the Recursion vs. Iteration debate, highlighting their operational disparities. Recursion, though elegant, demands caution to prevent system crashes due to infinite loops. While it offers compact code, it suffers from slower execution and increased memory usage. Conversely, iteration, driven by repetition structures, boasts faster performance and lesser memory consumption. Examples illustrate the essence and application of recursion, emphasizing the need for terminating conditions. Additionally, the presentation touches upon modular programming principles and introduces lambda functions and the pass statement, elucidating their roles in code structure and execution control.
While-For-loop in python used in collegessuser7a7cd61
This document discusses loops in Python programming. It covers for loops, range functions, break/continue/pass statements, booleans, while loops, and nested loops. Some key points:
- For loops iterate over sequences like lists and strings, while loops repeat code while a condition is true.
- Range functions generate numeric sequences for use in for loops. They can specify a start, end, and optional step size.
- Break/continue/pass are loop control statements - break exits the loop, continue skips to the next iteration.
- Boolean values are True or False and are used to check conditions in loops.
- Nested loops involve loops within other loops, like a for loop inside a for loop.
The document discusses the technique of dynamic programming. It begins with an example of using dynamic programming to compute the Fibonacci numbers more efficiently than a naive recursive solution. This involves storing previously computed values in a table to avoid recomputing them. The document then presents the problem of finding the longest increasing subsequence in an array. It defines the problem and subproblems, derives a recurrence relation, and provides both recursive and iterative memoized algorithms to solve it in quadratic time using dynamic programming.
This document discusses writing your own functions in Python. It begins by explaining that functions allow you to make code reusable and simplify programs. Functions take arguments, perform operations, and can return values. The document then provides examples of defining, calling, and returning values from functions. It highlights important aspects of functions like arguments, return statements, and scope.
The document discusses various control flow statements in C programming such as decision control statements (if, if-else, switch-case), looping statements (for, while, do-while loops), break, continue, goto, and functions. It provides examples of using each statement type and explains their syntax and usage. Key aspects like scope of variables, parameter passing methods (call by value, call by reference), and storage classes (auto, static, extern) related to functions are also covered in the document.
The document discusses procedural abstraction and functions that return values in programming. It covers the following topics:
- Top-down design for breaking problems into subtasks and functions.
- Predefined functions provided by libraries that perform operations like square roots.
- Defining your own functions through declarations that specify parameters and return types, and definitions that implement the function body.
- Calling functions by name and passing arguments.
- Information hiding through procedural abstraction where functions act as "black boxes".
This document discusses functions and procedural abstraction in C++. It covers:
- Top-down design and breaking problems into subtasks that can be implemented as functions
- Predefined and programmer-defined functions, including function declarations and definitions
- Passing arguments to functions by value and type casting
- Designing functions as "black boxes" using procedural abstraction to hide implementation details
- Scope of variables, including local variables within functions versus global variables
Operators and expressions are fundamental concepts in Python programming. The document discusses various types of operators used to manipulate operands, including arithmetic, comparison, assignment, logical, bitwise, and membership operators. It also covers expressions, which are combinations of operators and operands that evaluate to a value. Several types of expressions are described, such as constant, arithmetic, integral, floating, relational, logical, bitwise, and combinational expressions. Control flow statements like if, if-else, if-elif-else are also covered, along with looping using for and while loops and the break, continue, and pass statements.
Lazy Java by Mario Fusco
Like all imperative languages Java is, with some minor but notable exceptions, an eagerly evaluated programming language. Nevertheless the introduction of lambdas in Java 8 also allowed the adoption of some lazy patterns and data structures that are more typically employed in functional languages. Streams represent the most evident example of how also native Java API has taken advantage of laziness, but there is a number of other interesting scenarios where laziness can be an effective solution to quite common problems. In fact laziness is the only possible technique to process potentially infinite amount of data, or more in general to delay the expensive evaluation of an expression only when and if it is necessary. But laziness is even more than that: for instance the reader monad delays not only a computation but also the need of external dependencies thus lowering the abuse of dependency injection, while a trampoline uses laziness to delay and then linearize recursive calls preventing the overflow of the stack. The purpose of this talk is illustrating why and how implementing laziness in Java with practical examples delivered with both slides and live coding sessions.
The document discusses lazy evaluation and how it can improve performance by avoiding unnecessary computations. Some key points:
- Lazy evaluation delays evaluating expressions until their values are needed. This allows for optimizations like avoiding evaluating function arguments that are not used.
- Languages like Java are strict, meaning functions always immediately evaluate their arguments. But some constructs like boolean operators and ternary expressions are lazily evaluated for efficiency.
- Lazy evaluation enables infinite streams, as in Java 8, since intermediate operations are not computed until a terminal operation triggers the full pipeline.
- Some algorithms like generating primes cannot reasonably be implemented without laziness. It allows separating problem description from evaluation.
- Implementing laziness in Java requires
Mario Fusco - Lazy Java - Codemotion Milan 2018Codemotion
Like all imperative languages Java is eagerly evaluated, but the introduction of lambdas allowed the adoption of some lazy patterns and data structures that are typically functional. Streams are the most evident example of a native Java API using laziness, but there are other cases where laziness is an effective solution to common problems. In fact it makes possible to process infinite amount of data, but it is even more than that. This talk shows why and how implementing laziness in Java with practical examples delivered with both slides and live coding sessions.
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manager, introducing herself, and let.
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A workshop hosted by the South African Journal of Science aimed at postgraduate students and early career researchers with little or no experience in writing and publishing journal articles.
Exploiting Artificial Intelligence for Empowering Researchers and Faculty, In...Dr. Vinod Kumar Kanvaria
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at Integral University, Lucknow, 06.06.2024
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LAND USE LAND COVER AND NDVI OF MIRZAPUR DISTRICT, UPRAHUL
This Dissertation explores the particular circumstances of Mirzapur, a region located in the
core of India. Mirzapur, with its varied terrains and abundant biodiversity, offers an optimal
environment for investigating the changes in vegetation cover dynamics. Our study utilizes
advanced technologies such as GIS (Geographic Information Systems) and Remote sensing to
analyze the transformations that have taken place over the course of a decade.
The complex relationship between human activities and the environment has been the focus
of extensive research and worry. As the global community grapples with swift urbanization,
population expansion, and economic progress, the effects on natural ecosystems are becoming
more evident. A crucial element of this impact is the alteration of vegetation cover, which plays a
significant role in maintaining the ecological equilibrium of our planet.Land serves as the foundation for all human activities and provides the necessary materials for
these activities. As the most crucial natural resource, its utilization by humans results in different
'Land uses,' which are determined by both human activities and the physical characteristics of the
land.
The utilization of land is impacted by human needs and environmental factors. In countries
like India, rapid population growth and the emphasis on extensive resource exploitation can lead
to significant land degradation, adversely affecting the region's land cover.
Therefore, human intervention has significantly influenced land use patterns over many
centuries, evolving its structure over time and space. In the present era, these changes have
accelerated due to factors such as agriculture and urbanization. Information regarding land use and
cover is essential for various planning and management tasks related to the Earth's surface,
providing crucial environmental data for scientific, resource management, policy purposes, and
diverse human activities.
Accurate understanding of land use and cover is imperative for the development planning
of any area. Consequently, a wide range of professionals, including earth system scientists, land
and water managers, and urban planners, are interested in obtaining data on land use and cover
changes, conversion trends, and other related patterns. The spatial dimensions of land use and
cover support policymakers and scientists in making well-informed decisions, as alterations in
these patterns indicate shifts in economic and social conditions. Monitoring such changes with the
help of Advanced technologies like Remote Sensing and Geographic Information Systems is
crucial for coordinated efforts across different administrative levels. Advanced technologies like
Remote Sensing and Geographic Information Systems
9
Changes in vegetation cover refer to variations in the distribution, composition, and overall
structure of plant communities across different temporal and spatial scales. These changes can
occur natural.
Strategies for Effective Upskilling is a presentation by Chinwendu Peace in a Your Skill Boost Masterclass organisation by the Excellence Foundation for South Sudan on 08th and 09th June 2024 from 1 PM to 3 PM on each day.
Need this Urgent FInal answer is enough 3 What would b.pdf
1. Need this Urgent. FInal answer is enough.
3. What would be the three main actions that occur during
each second of simulated time in the car wash simulation?
Group of answer choices
1. Sometimes add a new customer to the arrivals queue.
2. Start a new car through the washer when a car in washer finishes the washing..
3. Tell the washer that another second has passed.
1. At any secone add maximun of two new customers to the arrivals queue.
2. Sometimes start a new car through the washer.
3. Tell the washer that another second has passed.
1. Sometimes add a new customer to the arrivals queue.
2. Sometimes start a new car through the washer.
3. Check the washer what time is it now.
1. Sometimes add a new customer to the arrivals queue.
2. Sometimes start a new car through the washer.
3. Tell the washer that another second has passed.
1. At any secone add maximun of two new customers to the arrivals queue.
2. Start a new car through the washer when a car in washer finishes the washing..
3. Check the washer what time is it now..
Question 6
What statement is the most appropriate?
Group of answer choices
A queue can be used to buffer data in a LIFO fashion that is being sent from a fast computer
component to a slower component.
A queue can be used to buffer data in a LIFO fashion that is being sent from a slower computer
component to a quicker component.
A queue can be used to buffer data in a FIFO fashionthat is being sent from a fast computer
component to a slower component.
A queue can be used to buffer data in a LIFO fashion that is being sent from any computer
component to any other components.
A queue can be used to buffer data in a FIFO fashion that is being sent from a slower computer
component to a quicker component.
Flag question: Question 7
The following f1 function is a new constant member function of the queue class in section 8.3.
template <class Item>
Item queue<Item>::f1( ) const
{
assert(size( ) > 0);
return data[last];
}
What is the best statement about f1 function?
Group of answer choices
2. It returns a copy of the item at the rear of the queue and is for the linked-list version of the queue.
It returns a copy of the next item of the queue and is for the array version of the queue.
It returns a copy of the item at the rear of the queue and is for the array version of the queue.
.
It returns a copy of the item at the front of the queue and is for the array version of the queue.
It returns a copy of the next item of the queue and is for the linked-list version of the queue.
Question 13
What is the output produced by the function call exercise(4), for the following definition?
void exercise(int n)
{
cout << n << endl;
if (n > 1)
exercise(n-1);
cout << n << endl;
}
Group of answer choices
4
3
2
1
1
1
1
1
4
3
2
1
4
3
2
1
4
3
2
1
4
3
2
1
1
3. 2
3
4
1
2
3
4
Flag question: Question 14
What is the best description of f1 function?
unsigned int f1(unsigned int n)
{
if (n == 1)
return 1;
else
return f1(n-1)+(2*n - 1);
}
Group of answer choices
The f1 is a loop function that finds the sum of the first n odd positive integers.
The f1 is a recursive function that finds the sum of the first n-1 positive integers.
The f1 is a recursive function that finds the sum of the first 2n-1 positive integers.
The f1 is a loop function that finds the sum of the first n odd positive integers.
The f1 is a recursive function that finds the sum of the first n odd positive integers.
Flag question: Question 15
What is the output produced by the function call exercise(4), for the following definition?
void exercise(int n)
{
cout << n << endl;
if (n > 1)
exercise(n-1);
}
Group of answer choices
4
3
2
1
4
3
2
1
1
2
4. 3
4
4
3
2
1
1
2
3
4
4
3
2
1
4
3
2
1
1
1
1
1
Flag question: Question 16
What is the output of the following function with an argument of 4?
void cheers(int n)
{
if (n <= 1)
cout << "Hurrah" << endl;
else
{
cout << "Hip" << endl;
cheers(n-1);
cout << "Hip" << endl;
}
}
Group of answer choices
Hip
Hurrah
Hip
Hip
Hip
5. Hip
Hip
Hurrah
Hip
Hip
Hip
Hurrah
Hip
Hip
Hip
Hurrah
Hip
Hip
Hip
Hurrah
Hip
Hip
Hip
Hip
Hip
Hurrah
Hip
Flag question: Question 17
What statement of the following is the most appropriate?
Group of answer choices
When writing recursive functions, always check to see that the function will produce infinite
recursion. This can be done by making sure that there are no appropriate variant expression and
threshold.
When writing recursive functions, always check to see that the function will produce infinite
recursion. This can be done by finding an appropriate variant expression and threshold.
When writing recursive functions, always check to see that the function will not produce infinite
recursion. This can be done by finding an appropriate variant expression and threshold.
When writing recursive functions, always check to see that the function will not produce infinite
recursion.
When writing recursive functions, always check to see that the function will produce infinite
recursion.
Question 19
What is the thresholds of traverse_maze function in section 9.2?
Group of answer choices
0
n-1
1
6. n * m
n
Flag question: Question 20
What is the output produced by the function call exercise(3), for the following definition?
void exercise(int n)
{
cout << n << endl;
if (n > 1)
exercise(n-1);
cout << n-1 << endl;
}
Group of answer choices
3
2
1
1
1
1
3
2
1
1
2
3
3
2
1
2
2
2
3
2
1
3
2
1
3
2
1
0
1
2
![Need this Urgent. FInal answer is enough.
3. What would be the three main actions that occur during
each second of simulated time in the car wash simulation?
Group of answer choices
1. Sometimes add a new customer to the arrivals queue.
2. Start a new car through the washer when a car in washer finishes the washing..
3. Tell the washer that another second has passed.
1. At any secone add maximun of two new customers to the arrivals queue.
2. Sometimes start a new car through the washer.
3. Tell the washer that another second has passed.
1. Sometimes add a new customer to the arrivals queue.
2. Sometimes start a new car through the washer.
3. Check the washer what time is it now.
1. Sometimes add a new customer to the arrivals queue.
2. Sometimes start a new car through the washer.
3. Tell the washer that another second has passed.
1. At any secone add maximun of two new customers to the arrivals queue.
2. Start a new car through the washer when a car in washer finishes the washing..
3. Check the washer what time is it now..
Question 6
What statement is the most appropriate?
Group of answer choices
A queue can be used to buffer data in a LIFO fashion that is being sent from a fast computer
component to a slower component.
A queue can be used to buffer data in a LIFO fashion that is being sent from a slower computer
component to a quicker component.
A queue can be used to buffer data in a FIFO fashionthat is being sent from a fast computer
component to a slower component.
A queue can be used to buffer data in a LIFO fashion that is being sent from any computer
component to any other components.
A queue can be used to buffer data in a FIFO fashion that is being sent from a slower computer
component to a quicker component.
Flag question: Question 7
The following f1 function is a new constant member function of the queue class in section 8.3.
template <class Item>
Item queue<Item>::f1( ) const
{
assert(size( ) > 0);
return data[last];
}
What is the best statement about f1 function?
Group of answer choices](https://image.slidesharecdn.com/needthisurgentfinalanswerisenough3whatwouldb-230318123409-4a162699/85/Need-this-Urgent-FInal-answer-is-enough-3-What-would-b-pdf-1-320.jpg)
