COURSES
MBAData Science & AnalyticsDoctorate Software & Tech AI | ML MarketingManagement
Professional Certificate Programme in HR Management and AnalyticsPost Graduate Certificate in Product ManagementExecutive Post Graduate Program in Healthcare ManagementExecutive PG Programme in Human Resource ManagementMBA in International Finance (integrated with ACCA, UK)Global Master Certificate in Integrated Supply Chain ManagementAdvanced General Management ProgramManagement EssentialsLeadership and Management in New Age BusinessProduct Management Online Certificate ProgramStrategic Human Resources Leadership Cornell Certificate ProgramHuman Resources Management Certificate Program for Indian ExecutivesGlobal Professional Certificate in Effective Leadership and ManagementCSM® Certification TrainingCSPO® Certification TrainingLeading SAFe® 5.1 Training (SAFe® Agilist Certification)SAFe® 5.1 POPM CertificationSAFe® 5.1 Scrum Master Certification (SSM)Implementing SAFe® 5.1 with SPC CertificationSAFe® 5 Release Train Engineer (RTE) CertificationPMP® Certification TrainingPRINCE2® Foundation and Practitioner Certification
Law
Job Linked
Bootcamps
Study Abroad
Master of Business Administration (90 ECTS)Master of Business Administration (60 ECTS)Master in Computer Science (120 ECTS)Master in International Management (120 ECTS)Bachelor of Business Administration (180 ECTS)B.Sc. Computer Science (180 ECTS)MS in Data AnalyticsMS in Project ManagementMS in Information TechnologyMasters Degree in Data Analytics and VisualizationMasters Degree in Artificial IntelligenceMBS in Entrepreneurship and MarketingMSc in Data AnalyticsMS in Data AnalyticsMaster of Science in AccountancyMS in Computer ScienceMaster of Science in Business AnalyticsMaster of Business Administration MS in Data ScienceMS in Information TechnologyMaster of Business AdministrationMS in Applied Data ScienceMaster of Business AdministrationMS in Data AnalyticsM.Sc. Data Science (60 ECTS)Master of Business AdministrationMS in Information Technology and Administrative Management MS in Computer Science Master of Business Administration MBA General Management-90 ECTSMSc International Business ManagementMS Data Science MBA Business Technologies MBA Leading Business Transformation Master of Business Administration MSc Business Intelligence and Data ScienceMS Data Analytics MS in Management Information SystemsMSc International Business and ManagementMS Engineering ManagementMS in Machine Learning EngineeringMS in Engineering ManagementMSc Data EngineeringMSc Artificial Intelligence EngineeringMPS in InformaticsMPS in Applied Machine IntelligenceMS in Project ManagementMPS in AnalyticsMS in Project ManagementMS in Organizational LeadershipMPS in Analytics - NEU CanadaMBA with specializationMPS in Informatics - NEU Canada Master in Business AdministrationMS in Digital Marketing and MediaMS in Project ManagementMaster in Logistics and Supply Chain ManagementMSc Sustainable Tourism and Event ManagementMSc in Circular Economy and Sustainable InnovationMSc in Impact Finance and Fintech ManagementMS Computer ScienceMS in Applied StatisticsMS in Computer Information SystemsMBA in Technology, Innovation and EntrepreneurshipMSc Data Science with Work PlacementMSc Global Business Management with Work Placement MBA with Work PlacementMS in Robotics and Autonomous SystemsMS in Civil EngineeringMS in Internet of ThingsMSc International Logistics and Supply Chain ManagementMBA- Business InformaticsMSc International ManagementMS Computer Science with AIML ConcentrationMBA in Strategic Data Driven ManagementMaster of Business AdministrationMSc Digital MarketingMBA Business and MarketingMaster of Business AdministrationMSc Digital MarketingMSc in Sustainable Luxury and Creative IndustriesMSc in Sustainable Global Supply Chain ManagementMSc in International Corporate FinanceMSc Digital Business Analytics MSc in International HospitalityMSc Luxury and Innovation ManagementMaster of Business Administration-International Business ManagementMS in Computer EngineeringMS in Industrial and Systems EngineeringMSc International Business ManagementMaster in ManagementMSc MarketingMSc Business ManagementMSc Global Supply Chain ManagementMS in Information Systems and Technology with Business Intelligence and Analytics ConcentrationMSc Corporate FinanceMSc Data Analytics for BusinessMaster of Business AdministrationMaster of Business Administration 60 ECTSMaster of Business Administration 90 ECTSMaster of Business Administration 60 ECTSMaster of Business Administration 90 ECTSBachelors in International Management
For College Students

How to Implement linear search in Java? A Complete Guide

$$/$$

Before we move onto the Java implementation of Linear Search, let's first discuss the pseudocode of the algorithm. Aishwarya Rai does that in the video below.

$$/$$

In the above video at the timestamp 1:27, the instructor intends to place the return -1 out of the scope of for loop. The modified pseudocode is as follows.

int key;
int array[];

for (int i=0; i<array.length(); i++) {
       if(array[i] == key) {
                 return i; }
}

return -1;

 

Video Transcript

 

So now let us try to see how we can write a simple pseudocode for the linear search algorithm. So here I can see a variable declared called key which is the key which I want to find. And here is my array. This array denotes the collection of objects in which I have to find whether a key exists or not. So what I'll do carefully look at this statement here, you will see that I'm comparing the array of I and key. So this basically denotes that I'm comparing the is element of the array with the key and checking if they are equal or not. If they are equal, I return I which is the index of the element which matches with the key. And since I have to repeat this process for each and every element of the array so I have written a for loop here. In this case I'm beginning my for loop from index I equals to zero and moving it till I reach the end of the array. And in each step I'm incrementing my i. Now, when this whole iteration would end and if I'm still unable to find whether the key exists in this array or not, and suppose I reach the end of the array, then towards the end I can just say return minus one. So since minus one cannot be an index in this array, returning minus one would indicate that my key has not been found in the given array. So this was a very basic pseudocode of implementing linear search.

 

Video Recap

 

  • The linear search algorithm is used to find whether a key exists in an array or not.

  • To write the pseudocode for the linear search algorithm, a key variable is declared to find a key in the array.

  • A for loop is used to iterate through each element of the array, comparing it with the key.

  • If a match is found, the index of the element is returned. If no match is found, -1 is returned.

  • The -1 indicates that the key does not exist in the given array.

 

Now that you are comfortable with the pseudocode of the algorithm, it's time to see the code in action. Please download the Java file for the code given below.