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Table of Contents


What is an Algorithm?

Algorithms are the series of commands that are present in the form of input. These commands are used to solve the given problem and extract a proper output or answer. Algorithms depend on following the sequence of the particular actions. Algorithms are very essential in the field of Computer Science and Mathematics. Any operation on the computer can be seen as an algorithm. Information Technology is filled with algorithms and programmers are solving varied problems daily on the computer, the majority of which are algorithm problems. In other words, algorithms refer to a set of instructions that indicates the step-by-step procedure of working on a problem to prepare an expected output. One of the most convenient aspects of algorithm problems is that they are language-independent. So, instructions can be implemented in any language yet the solution will be the same. 

Types of algorithms

There are many forms of algorithms that programmers encounter on a day-to-day basis. Some are listed below.

  • Simple Recursive Algorithm– Simple Recursive Algorithms can be solved the base cases directly. It can also recur with simple sub-problems. This form of algorithm is known as simple as all the other forms are recursive.
  • Backtracking Algorithms– These algorithms are based on depth recursive search. Programmers can use this form of algorithm to test to see whether the solution has been found. On finding the solution, it is returned. 
  • Divide and Conquer Algorithm– An algorithm is known as Divide and Conquer if it comprises two or more recursive calls. A Divide and Conquer Algorithm can be solved in two parts- First; the problems have to be divided into smaller sub-problems and solved recursively. Next, all the separate solutions of the sub-problems will have to be combined to find the solution to the original problem.
  • Dynamic Programming Algorithms– A dynamic Programming algorithm will remember the past results and will utilize them to find the existing solution. This form of algorithm is used to find the solution to optimization problems. Solutions to the sub-problems can be stored in this algorithm and can be reused in a bottom-up fashion. 
  • Greedy Algorithms– Greedy Algorithms work best with Optimization Problems. In an optimization problem, one solves to find the best solution to the existing question and not just any solution. A greedy algorithm usually works in two phases. These phases are- Programmers can take the best they get at a time without caring about the consequences and the programmer can also hope to get the global optimum by choosing the local optimum at a time. 
  • Branch and Bound Algorithms– Branch and Bound Algorithms are used for optimization problems. With the progress of the algorithm, a host of sub-problems will be formed. In a Branch and Bound Algorithm, the original problem is known as the root problem. In such an algorithm, the method is to develop an upper or the lower bound of the given problem. And the bounding methods have to be applied at each node. 
  • Brute Force Algorithms– In the brute force algorithm, the programmer will try all the possible solution methods, until the most satisfactory solution is found. Such a solution can be both optimizing and satisfying. 
  • Randomized Algorithms- A randomized algorithm uses a random number during the process of computation to come to a decision. The random number has to be used at least once during the programming. 

Advantages of Algorithms

There are multiple advantages of algorithms. Few have been stated below-

  • It is language-independent. Instructions can be presented in any language so that users can understand them. The varied language will not affect the result. The result will be as expected. 
  • It is a step-wise representation of the solution to a given problem. So it is very well organized. 
  • Algorithms can be easily debugged, as every step of an algorithm has its logical sequence. 
  • Algorithms use a definite procedure. 
  • The algorithm allows programmers to break problems into smaller sub-problems. Thus, the programmers can easily convert these sub-answers into the actual answer without much effort at the end. 

Disadvantages of Algorithm

  • Writing an algorithm is time-consuming. 
  • Execution of the branching and the looping statements are difficult in the algorithm problem. 
  • Understanding complex logic through algorithms can be difficult
  • Placing and finding the solutions to big tasks are difficult.

Important aspects of Algorithm

To write an algorithm, certain prerequisites are- 

  • There will be a problem that must be solved by the basic steps of the algorithm.
  • While solving the problem, constraints will have to be considered,
  • The input is to be put in for solving the existing problems.
  • The output will be received when the problem is solved with the help of algorithm steps. 
  • A solution procedure is to be followed within the given constraints. 

Basic Characteristics of Algorithm

  • Unambiguous– The algorithm is very clear and unambiguous. Every one of its stages and its sources of inputs/outputs is clear and should prompt just one meaning.
  • Viability– An algorithm is commonly expected to be effective. The majority of the activities must be adequately fundamental. Problems can be solved within the allotted time and in a precise way. 
  • Input- An algorithm will have zero () and more well-characterized inputs that are used to solve the existing problem.
  • Output– An algorithm needs to have at least 1 or well-characterized yields, and should match the ideal output. This output is the result of the problem given. 
  • Limit- Algorithms must end after a limited number of steps. No further steps can be added to it to make it more comprehensive.
  • Practicality- An algorithm should be achievable with accessible resources. It is very practical and only calculated answers can be found. 
  • Free– An algorithm has well-ordered directions, which ought to be independent of any programming code. Thus it is free from any external intrusions. 
  • Finite-ness– An algorithm is must be finite and it does not end up in infinite loops and similar forms.
  • Feasible– Algorithms are simple, generic, and practical. It can be based on the available resource and no form of future technology is contained in it. 
  • Language independent– The algorithm is language independent. Plain instructions can be implemented in any language without the need for any extra code and the calculated output will still be the same as expected.

How to analyze the algorithm efficiency?

There are primarily two ways by which the efficiency of an algorithm can be checked. The two methods are-

  • A posterior analysis: A posterior analysis is also known as the Empirical Analysis of an algorithm. A distinct algorithm is implemented based on different programming languages. The next step is to execute the algorithm on a targeted computer system. Next, the overview of the space is required and the total running time of an algorithm is checked.
  • A priori analysis: A priori analysis is a theoretical base for an algorithm. The efficiency and performance of an algorithm are then measured by observing all the available factors like constant and the processor speed. This process does not have any form of impact on the implementation. 

General Applications of Algorithms

Algorithms are used in our day-to-day lives. Some of the common applications of Algorithms are as follows-

  • Mobile Phone- Using a mobile phone is equivalent to handling varied algorithms as the processor of mobile phones is based on algorithm operations. 
  • Driving a car- While driving a car, drivers use the Car ECU and the other set electronics. All these work on algorithms. 
  • Using ATMs- Automated Teller Machines use algorithms to check the account number and the PIN. Only after checking these, the machine lets you withdraw the money you need and deducts the value from the total amount. 

What is expected out of an Algorithm Design Assignment?

Algorithm Design Assignments require programmers to perform the below-mentioned basic operations. The common operations are-

  • Every algorithm problem must perform the common, data processing, reasoning, and calculation tasks while following the steps inquisitively.
  • Algorithms can also be expressed in different kinds of notation. Some of the common forms of notations are as follows- pseudo code, drakon-charts, flowcharts, natural languages, various programming languages, and control tables.
  • Algorithms can be represented majorly in 3 different ways – High-level description, Implementation description, and Formal description.
  • Programmers will have to minutely follow some steps to ensure to arrive at the correct and the expected results.

Step 1 – Defining the problem.

Step 2 – Model the Development of the problem.

Step 3 – All the specifications of the algorithm must be mentioned.

Step 4 – Designing the algorithm based on the question.

Step 5 – Checking and rechecking if the algorithm is calculated perfectly several times.

Step 6 – Analyzing and implementing the algorithm.

Step 7 – Testing and running the program.

Step 8 – Preparing a report and documenting each step in detail to guide the next set of algorithms. 

Points to be considered while designing an Algorithm

There are a few points that are to be remembered while calculating and designing the algorithms. These are-

  • Since every stage in an algorithm is significant, therefore, each step must be dictated clearly and straightforwardly to avoid unnecessary faults.
  • Among various methods for giving out guidance, the algorithm utilized should be successful and can be calculated without much effort.
  • The information sources and the output should be precisely defined so that the result is clear and can be used in other algorithms.
  • An algorithm must be planned so that it can be connected in more than one Programming language and be used in multiple programming operations.
  • Using syntax is very essential in algorithms to keep track. Therefore programmers should use syntax wherever necessary.

Common Algorithm Assignment Topics

Students who are studying Computer Science or are pursuing any course that has algorithms and its associated studies will have to bear the burden of completing assignments on the same. Universities offer thorough theory classes and practical sessions on the basics of algorithms. Advanced training is also provided but students with little interest in the same fail to understand its operations. Some of the common topics on which algorithm assignments are set and assigned to the students are as follows- 

  • Graph Algorithm Assignment
  • Distributed System Algorithm Assignment
  • Backtracking Algorithm Assignment 
  • Dynamic Programming Assignment
  • Network Theory Assignment
  • Optimization Algorithm Assignment
  • Huffman Code Assignment
  • Decoding Algorithm Assignment
  • Tree Algorithm Assignment
  • Number Theory Algorithm Assignment
  • Randomized Algorithm Assignment
  • Greedy Algorithm Assignment
  • Sequence Sorting Assignment
  • Database Algorithm Assignment
  • Raymond’s Algorithm Assignment

Steps to be followed while preparing the algorithm problems

Every algorithm problem is different. Operations must be performed and calculations must be executed based on the problem itself. Yet, certain common steps are the same for every algorithm problem, and students assigned with algorithm assignments will have to follow the steps accordingly to get the right result. Marks are also based on the technique used. Therefore, these below-mentioned steps are nonetheless necessary and are an integral part of solving an algorithm-based problem. 

  • The first step is to determine the problem and its requirements so that the algorithm can be written accordingly.
  • Next, the model of the algorithm has to be developed to create the right output.  
  • Then, all the comments have to be specified and the understandable codes have to be prepared. 
  • Algorithms are to be built based on the assignment question. Only instruction written on the question should be followed. 
  • The accuracy of the algorithms has to be checked multiple times to ensure complete perfection. 
  • Next, errors if found should be analyzed and new functions, loops, and other required syntax methods need to be implemented to make the programming more effective. 
  • The second last step is to test the program on the specialized platform.
  • Lastly, all the steps of the programming procedure have to be written in detail.  

Problems of Algorithm Assignments

Students who are burdened with the Algorithm Assignments often fail to write them due to certain reasons. Algorithm Assignments consist of questions that require expert knowledge. Only theoretical learning will never be enough. Students are required to complete the assignment by using their practical abilities. Programs are set based on the discussions done in the classes. Students who missed out on classes will face immense difficulty in writing the assignments. Therefore, it is of utmost necessity to have a clear idea of the basics and have acute practical knowledge of algorithms. At times algorithm assignments can be tricky and steps tend to overlap. Therefore, students are required to be mindful and ever vigilant while writing the assignment. Any error in any step can lead to the execution of the wrong output. 

Why do students need Algorithm Assignment Help Services?

Some of the primary reasons that force students to hire Algorithm experts are as follows:

  • Lack of time– Students who are engaged in any part-time jobs will never get enough time to complete the assignments. These assignments are time-consuming and students also are required to submit those within the stipulated date. Therefore, the assignment help services can rescue the distraught students. 
  • Lack of Resources- This is a vital problem. Not every student has all the necessary means such as a computer and the associated programs installed that are required to complete the assignments. Taking help from the experts is the most ethical solution left in that case.
  • Lack of Knowledge- Often students do not have adequate knowledge and fail to grab the basic features of the algorithm. For them writing advanced algorithm assignments is genuinely tough and straining. Therefore, taking the help of the algorithm experts is a great strategic move as the experts are brilliant algorithm experts. They also have solved such assignments before so students can completely rely on them. 

What are the benefits offered by the Algorithm Assignment Help Services?

Some of the vital benefits offered by the Algorithm Assignment Help Services are as follows. These are the primary reasons that attract students to hire the services offered by these assignment help providers. 

  • Team of Algorithm Experts- The assignment help services consist of a group of algorithm specialized experts who have many years of experience in academic writing. These writers have the relevant degrees and are amazing assignment writers. They also are thorough with the university guidelines and can easily comprehend the marking rubric that confuses the students. 
  • 24*7 Guidance- Students can avail of the services offered by the assignment help providers at any time without having to worry as immediate assistance is a guarantee. Students can reach out to the experts via call, message, or through the mailing, system to clear their doubts or to add instructions regarding the assignments.
  • On-time delivery– Assignments are to be anyhow submitted within the given time or else students can get penalized by the universities. This is a known fact and writers start working on the assignment immediately without wasting any time. Therefore, students get their assignments delivered to them right on time.
  • Affordable Pricing- These assignments help services understand that students cannot pay them much as a result affordable and pocket-friendly pricing is kept so that every student can avail their services without hesitating once.
  • Live Online Tutoring sessions- Universities have strict schedules and lessons are not repeated. Students who miss out on classes fail to grasp the lessons taught in the following classes and therefore they can take the online live tutoring sessions offered by the services and get their confusion cleared. These services offer good tutoring classes where they repeat lessons and never skip sections.
  • Live Tracking System- Students can track the progress of the assignment with the help of a live tracking system offered by the services to assure themselves.
  • Complete Confidentiality of the customers’ details– No amount of negligence is done with the students’ details. Without the prior permission of the student, services do not use the details. 
  • Free Revisions– Universities often send back the assignments for rework purposes. Students can get rework services for uncountable times without having to pay any extra money.
  • Guaranteed Refund- In case an assignment failed to get the desired marks or is not accepted by the university professors, students will get their money back immediately.

How to order an Algorithm assignment?

Students can order algorithm assignments by following the few steps-

  • Visit the official website of the algorithm services of your choice.
  • Order the assignment and add the study materials.
  • Add the instruction document provided by the university.
  • Add the details of the way you wish to customize your assignment.
  • Mention the deadline.
  • Pay the mentioned price.
  • Track the progress of the assignment through the live tracking facility.