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Singly Linked List : C Programming Data Structure In this type of Linked List two successive nodes are linked together in linear fashion. Each Node contain address of the next node to be followed. In Singly Linked List only Linear or Forward Sequential movement.Programming in C++ and Data Structures. PART A - (1. 0 x 3 = 3. Answer any TEN questions. All questions carry equal marks. Each answer should not exceed 5. Programs, after all, are concrete formulations of abstract algorithms based on particular representations and structures of data. Search results for linked list programs from Search.com. Do you have questions about linked list programs? Arrays and linked lists are among the most common data structures, and. LinkedIn for iOS - Free download and software reviews. Advantages Linked lists are a dynamic data structure, which can grow and be pruned, allocating and deallocating memory while the program is running. Insertion and deletion node operations are easily implemented in a linked list. Linear data structures such as. Retrieved from 'https://en.wikibooks.org/w/index.php?title=Data Define data structure. What are primitive data types? How do they differ from composite data types? Here we see that in the worst-case, when there is no XML file or the XML file is the last file in the list, we have to search through each element of the array exactly once. To analyze the array's efficiency at sorting, we must ask ourselves the following, 'Assume that I. Linked list programming interview questions - Coding interview questions on linked list. Linked list interview question asked in amazon, flipkart, adobe, snapdeal, MS, cisco interviews. Given a singly linked list, determine if its a palindrome. Return 1 or 0 denoting if. Common types of linked data structures Linked lists A linked list is a collection of structures ordered not by their physical placement in memory but by logical links that are stored as part of the data in the structure itself. It is not necessary that it should be stored in. Define the terms Queue and Dequeue. List the applications of stacks. State the merits and demerits of linked lists over arrays. Give the linked list representation for the following polynomials: (a) A = 3. X1. 4 + 2. X8 - 1(b)B = 8. X1. 4 - 3. Xl. O + 1. Define circularly linked list. Give an example. 8. Differentiate between trees and binary trees. Define graph. 1. 0. Construct the binary tree uniquely represented by the following preorder- inorder sequences. Preorder sequence: ABCDEFGHI Inorder sequence: BCAEDGHFI1. Define algorithm and list the desirable characteristics. What do you mean by 'divide and conquer' technique? PART B - (5 x 6 = 3. Answer any FIVE questions. All questions carry equal marks. Each answer should not exceed 2. Given an array A (1 : n), write an algorithm to produce the array Z (1 : n) such that Z (1) = A (n) , Z(2)=A(n- 1)..,Z(n- 1)=A(2), Z(n)=A(1). Use a minimal amount of storage. Write algorithms to insert and delete elements in a circular queue. Write an algorithm LENGTH(P) to count the number of nodes in a singly linked list P, where P points to the first node in the list. The last node has link field O. Write algorithms to insert and delete nodes in a doubly linked list. Write the Dijkstra's algorithm to find the shortest path. Explain the steps to convert a forest to a binary tree. Explain the algorithm to find the maximum and the minimum . PART C - (4 x 1. 0 = 4. Answer any FOUR questions. All questions carry equal marks. Each answer should not exceed 5. Discuss the operations on arrays with examples. Discuss the evaluation of expressions along with the algorithm for infix to postfix: conversion. Write and explain the algorithm to add two polynomials using linked representation. Discuss the hashing tables and hashing functions. Explain the binary tree traversal algorithms with examples. Discuss the merge sort algorithm with an example. An Introduction to Data Structures. We'll examine both built- in data structures present in the . NET Framework, as well as essential data structures we'll have to build ourselves. This first installment focuses on defining what data structures are, how the efficiency of data structures is analyzed, and why this analysis is important. In this article, we'll also examine the Array and Array. List, two of the most commonly used data structures present in the . NET Framework. Throughout this article series we will be examining a variety of data structures, some of which are included in the . NET Framework Base Class Library and others that we'll build ourselves. If you're unfamiliar with the term, data structures are abstract structures, or classes, that are used to organize data and provide various operations upon their data. The most common and likely well- known data structure is the array, which contains a contiguous collection of data items that can be accessed by an ordinal index. Before jumping into the content for this article, let's first take a quick peek at the roadmap for this six- part article series, so that you can see what lies ahead. If there are any topics you think are missing from this outline, I invite you to e- mail me at mitchell@4guysfromrolla. Space permitting, I'll be happy to add your suggestions to the appropriate installment or, if needed, add a seventh part to the series. In this first part of the six- part series, we'll look at why data structures are important, and their effect on the performance of an algorithm. To determine a data structure's effect on performance, we'll need to examine how the various operations performed by a data structure can be rigorously analyzed. Finally, we'll turn our attention to two data structures present in the . NET Framework. Chances are you've used both of these data structures in past projects. In this article, we'll examine what operations they provide and the efficiency of these operations. In Part 2, we'll explore the Array. List class in more detail and examine its counterparts, the Queue class and Stack class. Like the Array. List, both the Queue and Stack classes store a contiguous collection of data and are data structures available in the . NET Framework Base Class Library. However, unlike an Array. List from which you can retrieve any data item, Queues and Stacks only allow data to be accessed in a predetermined sequential order. We'll examine some applications of Queues and Stacks, and see how to implement both of these classes by extending the Array. List class. After examining Queues and Stacks, we'll look at Hash. Tables, which allow for direct access like an Array. List, but store data indexed by a string key. While Array. Lists are ideal for directly accessing and storing contents, they are suboptimal candidates when the data needs to be searched. In Part 3, we'll examine the binary search tree data structure, which provides a much more efficient means for searching than the Array. List. The . NET Framework does not include any built- in binary search tree data structures, so we will have to build our own. The efficiency of searching a binary search trees is sensitive to the order with which the data was inserted into the tree. If the data was inserted in sorted or near- sorted order, the binary search tree loses virtually all of its efficiency advantages over the Array. List. To combat this issue, in Part 4 we'll examine an interesting randomized data structure. Skip. Lists provide the efficiency of searching a binary search tree, but without the sensitivity to the order with which data is entered. In Part 5 we'll turn our attention to data structures that can be used to represent graphs. A graph is a collection of nodes, with a set of edges connecting the various nodes. For example, a map can be visualized as a graph, with cities as nodes and the highways between them as edged between the nodes. Many real- world problems can be abstractly defined in terms of graphs, thereby making graphs an often- used data structure. Finally, in Part 6 we'll look at data structures to represent sets and disjoint sets. A set is an unordered collection of items. Disjoint sets are a collection of sets that have no elements in common with one another. Both sets and disjoint sets have many uses in everyday programs, which we'll examine in detail in this final part. Analyzing the Performance of Data Structures. When thinking about a particular application or programming problem, many developers (myself included) find themselves most interested in writing the algorithm to tackle the problem at hand, or adding cool features to the application to enhance the user's experience. Rarely, if ever, will you hear someone excited about what type of data structure they are using. However, the data structures used for a particular algorithm can greatly impact its performance. A common example is finding an element in a data structure. With an array, this process takes time proportional to the number of elements in the array. With binary search trees or Skip. Lists, the time required is sub- linear. When searching large amounts of data, the data structure chosen can make a difference in the application's performance that can be visibly measured in seconds or even minutes. Since the data structure used by an algorithm can greatly affect the algorithm's performance, it is important that there exists a rigorous method by which to compare the efficiency of various data structures. What we, as developers utilizing a data structure, are primarily interested in is how the data structures performance changes as the amount of data stored increases. That is, for each new element stored by the data structure, how are the running times of the data structure's operations effected? Consider a scenario in which you have a program that uses the System. IO. Directory. Get. Files(path) method to return the list of the files in a specified directory as a string array. Now, imagine that you wanted to search through the array to determine if an XML file existed in the list of files (namely one whose extension was . One approach to do this would be to scan through the array and set some flag once an XML file was encountered. The code might look like so. System. Collections. System. IO. public class My. Class. . To analyze the array's efficiency at sorting, we must ask ourselves the following, . If I add another element, so the array has n + 1 elements, what is the new running time? When working with arrays, typically the steps considered are how many array accesses one needs to perform.) To search for a value in an array, we need to potentially visit every array value, so if we have n + 1 array elements, we might have to perform n + 1 checks. That is, the time it takes to search an array is linearly proportional to the number of elements in the array. The sort of analysis described here is called asymptotic analysis, as it examines how the efficiency of a data structure changes as the data structure's size approaches infinity. The notation commonly used in asymptotic analysis is called big- Oh notation. The big- Oh notation to describe the performance of searching an array would be denoted as O(n). The large script O is where the terminology big- Oh notation comes from, and the n indicates that the number of steps required to search an array grows linearly as the size of the array grows. A more methodical way of computing the asymptotic running time of a block of code is to do follow these simple steps. Determine the steps that constitute the algorithm's running time. As aforementioned, with arrays, typically the steps considered are the read and write accesses to the array. For other data structures the steps might differ. Typically, you want to concern yourself with steps that involve the data structure itself, and not simple, atomic operations performed by the computer. That is, with the block of code above, I analyzed its running time by only counting how many times the array needs to be accessed, and did not bother worrying about the time for creating and initializing variables or the check to see if the two strings were equal. Find the line(s) of code that perform the steps you are interested in counting. Put a 1 next to each of those lines. For each line with a 1 next to it, see if it is in a loop. If so, change the 1 to 1 times the maximum number of repetitions the loop may perform. If you have two or more nested loops, continue the multiplication for each loop. Find the largest single term you have written down. This is the running time. Let's apply these steps to the block of code above. We've already identified that the steps we're interested in are the number of array accesses. Moving onto step 2 note that there are two lines on which the array, fs, is being accessed. Now, applying step 3 notice that the access to fs in the String. Compare() method occurs within a loop that runs at most n times (where n is the size of the array). So, scratch out the 1 in the loop and replace it with n. Finally, we see that the largest value is n, so the running time is denoted as O(n). O(n), or linear- time, represents just one of a myriad of possible asymptotic running times. Others include O(log. O(n log. 2n), O(n. O(2n), and so on. Without getting into the gory mathematical details of big- Oh, the lower the term inside the parenthesis for large values of n, the better the data structure's operation's performance. For example, an operation that runs in O(log n) is more efficient than one that runs in O(n) since log n < n. Note. So, log. 2 4 = 2, since 2. Similarly, log. 2 8 = 3, since 2. Clearly, log. 2n grows much slower than n alone, because when n = 8, log. In Part 3 we'll examine binary search trees whose search operation provides an O(log. Throughout this article series, we'll be computing each new data structure and its operations asymptotic running time and comparing it to the running time for similar operations on other data structures. 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If you’re worried that you’re going to end up doing the wrong type of training, fear not! I will show you exactly where I learned the best vertical jump workout routine. That’s why I created Flight Basketball in the first place! By the way, that is Nate Robinson in the photo if you were wondering. He is a pro player. Who Am I? My name is Pat, and I’m a regular guy who struggled for years to add inches to my leaping ability. I’ll be the first to admit that I’m not an amazing athlete. I don’t have the genetics of someone like Michael Jordan, and I am not the son of any pro athlete. Programs; Sports; Be Mobile. I’m guessing you’re probably in the same position. I created this blog because I wanted to share my success by letting other people know that it is possible for un- gifted people like me to jump high and dunk. If you have any questions as you read this page please leave a comment at the end. I’ll be happy to help you out in any way I can. Three Common Myths About Jumping Higher. I wanted to start out by dispelling a few myths I hear over and over again. I’ve had to figure out whether there was any truth to these over the years through trial and error. I thought I’d try to save you some time and effort by giving you the answers right here. Myth #1 – You need to do 1. This is absolutely not true. In fact, you will likely end up overtraining your body if you do 1. There are several programs on the market that force you to do so many reps that your body actually begins to wear out. This causes you to see a decrease in your jumping ability rather than an increase. Myth #2 – More training is always better than less training. This is another common myth that I see quite a bit. Many people believe that if they spend more time in the gym they will be guaranteed to see better results. Well it turns out that the opposite is true. Similar to myth #1, if you spend too much time working out you will actually end up over training and possibly injuring yourself. The body needs time to repair between workouts. The optimal workout schedule for best results is a max of 3 days per week with a day of rest in between each workout. Our best vertical jump program reviews picks out. Best Vertical Jump Programs. When choosing the right type of training for increasing your vertical you want. The Top 3 Vertical Jump Training Programs in 2016. You could argue that this is the most Vertical Jump Development Bible. This may not seem like much, but you will be amazed by the results you get from following this schedule. Myth #3 – Doing a vert. Doing a full on training program while your season is underway is not a good idea. Best Vertical Jump Programs for increasing your Vertical. Below is a listing of several of the best vertical jump programs on. The Best Vertical Leap Programs. How to Increase Your Vertical Leap. Increasing your vertical leap requires. Nutrition is extremely important when it comes to improving your vertical jump. Here are 7 proven methods on how to increase vertical jump. The best exercise when it comes to increasing. This is one reason most jump training programs. Jump higher and increase your vertical jump with the DunkNow vertical leap training program. Jump higher and dunk a basketball. DunkNow with Facebook. Again, this goes back to the body’s need for recovery. If you are playing scrimmages and competitive games every week in addition to going to practice, you are going to severely overtrain yourself. You will be much more likely to get injured if you try to do a jump training workout during the season. You should also save your primary training for the off season. If anything, you should focus on endurance and light plyometric workouts during the season. How Many Inches Will I Gain? This is another question that a lot of people ask me. There are a lot of programs out there that promise to do things like double your vertical leap. There are several reasons for this. Genetics – Some people develop muscle and strength more quickly than others. Some people are also able to keep a low body fat percentage without much effort. These factors come into play when determining how quickly you will see gains. However, if you don’t have the genetics of an olympic athlete don’t worry. Anyone can see awesome gains with the correct training. Diligence – If you diligently follow your training and eat healthy you will see gains. Period. If you slack off and miss days of training here and there you are not going to see great results. As with anything else, training your vertical requires persistence and diligence. Proper Training – A great workout should combine plyometrics with strength training, and it should also give you enough time to rest and recover. Without these three things you are bound to waste your time on a workout that won’t help you leap. Some good, and some not so great. So far, only one has provided consistent gains in jumping ability. It is called The Jump Manual, and it is one of the few programs that offers proper training methods that will help you get the best results. That’s the reason why you’ve probably seen so many different websites talking about The JM. Using this program allowed me to add 8 inches in a period of only 3 months. Not bad considering other systems. You don’t need to spend hundreds on a program like The Vertical Project or a personal trainer in order to see gains. Check out the video below! It’s pretty amazing, and I’m sure you’ll be pleased with the results you see from The JM. Also, you can see more testimonials on the main JM page. Dunking At The Age of 4. With The Jump Manual! Here is a guy named Andy. He used Jacob Hiller’s program (the Jump Manual) to increase his vertical to the point where he could dunk by the age of 4. Pretty amazing stuff! If this isn’t motivation for you to get started I don’t know what is! This is the only program that I have personally used so far that uses sound training principles, and it shows based on Andy’s results. What About Other Workout Programs? If you’re not really satisfied by the info I’ve provided on The Jump Manual, then here is one more for you to check out. The name of it is The Jump Bible. It is actually a very well known program. This program will get you started on your way to a better vertical, but I would still recommend that you get the Jump Manual. I had fairly good results with the Jump Bible when I used it back in high school, so it’s definitely highly recommended. I would say that beginners should see some pretty substantial results with this program. However, I haven’t heard much from Kelly (the author) in a while. Anything beyond that is overtraining. You should also rest one to two minutes between sets. Be sure to eat plenty of protein so your body can recover. Also, drink lots of water and try to avoid doing other lower body workouts during this 9 week training period. I’ll get some exercise descriptions up for you soon. Update: Sep 2. 01. Some of you have mentioned that the previous workout was too taxing on your body, so I’ve modified it a bit below. During the strength training period (weeks 1- 3), try doing it just one day per week. Other days of the week can focus on upper body exercises of your own choosing. If this is too easy for you, feel free to increase the reps/weights as desired. Weeks 1- 3 (Strength Training – 1 day per week!)Stretch – 4 to 5 minutes. Squats – 3 sets of 8 reps. Lunges – 3 sets of 8 reps. Leg Extensions – 2 sets of 8 reps. Leg Curls – 2 sets of 8 reps. Calf Raises – 2 sets of 2. Weeks 4- 6 (Explosion Training – 2 days per week)Stretch – 4 to 5 minutes. Squat Jumps – 3 sets of 1. Rim touches – 3 sets of 1. Tuck Jumps – 3 sets of 1. High Box Jumps – 3 sets of 1. Calf Raises – 2 sets of 2. Weeks 7- 9 (Speed/Technique Training – 2 days per week)Stretch – 4 to 5 minutes. Running One Leg Jumps – Repeat at max speed and power with a basketball in your hands (3 sets of 1. Running Two Leg Jumps – Repeat at max speed and power with a basketball in your hands (3 sets of 1. Sprints – Run approximately 5. Speed Jump Rope – As fast as you can for 4. Be sure to check out my tips page to find out how to get the most out of this, or any other routine. How to Measure Your Jump Height. One of the last things I want to cover is measuring your vertical jump. This is something you should do before beginning any workout. It will give you a baseline for where you’re starting from, and it will allow you to see progress over time. To measure your vertical, follow these simple steps. You’ll also need the following equipment: Tape measure. Some chalk or opaque tape (chalk is easier to use, but it can leave stains on walls)Demonstration from Coach Mac. Find a wall that is at least 1. Start by standing up straight with your shoulder touching the wall. Put a little chalk or a piece of tape on the tips of your fingers and reach up as high as you can. Do not go up on your tip toes! Mark your highest point on the wall with your chalk or tape. This is your standing reach. This time, from a standstill jump up as high as you can and leave a mark on the wall at your highest point. Measure the distance between your standing reach mark and your highest jump mark (M2- M1). This is your standing vertical jump. This is one of the most accurate, and cheapest, ways to measure your vertical jump. When you’re actively doing a training program, try repeating this test once a month to see your progress. Don’t forget to write your results down! My Goal For My Leaping Ability. I got a long way to go. Ha! Above is the Team Flight Brothers dunk mix. They are a group of guys who travel around the country putting on awesome dunk contests. They are similar to the Globe Trotters, but the emphasis is throwing down insane dunks. Remember, if you really want to improve your leaping ability you need to focus on the training techniques I outlined above. You should also check out the JM if you are in need of a step- by- step regimen that will give you awesome results. Thanks again for reading, and please feel free to contact me if you have questions! Lower body exercises. Extract chm chapter or section to PDF, convert chm indices of contents to PDF bookmarks, and convert any range of chm to pdf. The operation for Mac version VeryPDF CHM to PDF Converter is the same as that of Windows version.Chm to pdf converter with bookmarks. Software Downloads.
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