Based on this code, is the big-oh of the running time function O(n)? for (int i = 0; i < vehicles.length; i++) {%3Ddouble miles =((vehicles [i]. getLease().getNumber0fMonths() / 12) * vehicles [i].getLease().getMileageAllowance( ));double usage = vehicles[i].getFuel().getUsage();double leaseCost =vehicles [i].getLease().getDueAtSigning() + (vehicles[i].getLease().getMonthlyCost() * vehicles [i].getLease().getNumber0fMonths());if (vehicles [i].getFuel().getType()vehicles [i]. setC02Emission (miles / usage * Fuel.C02EMITTED_GASCOMBUSTION);vehicles [i].setFuelCost(getGasPrice() * (miles / usage));vehicles [i].setTotalCost(vehicles[i].getFuelCost() + vehicles [i].get0therCost() + leaseCost);} else if (vehicles[i].getFuel().getType( )vehicles [i].setC02Emission (miles / usage * vehicles[i].getFuel().getKWhPerCharge() * (Fuel.CO2EMITTED_GENERATEMWH / 1000 * 0.45));vehicles [i].setFuelCost((miles / usage) * getElectricityPrice() / 100 * vehicles[i].getFuel().getKWhPerCharge( ));vehicles [i].setTotalCost(vehicles[i].getFuelCost() + vehicles [i].get0therCost() + leaseCost);Fuel.GAS) {Fuel.ELECTRIC) {}}

In given code the complexity depends on for loop and their running variable i which is compare with…

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Engineering

Computer Science

Based on this code, is the big-oh of the running time function O(n)?

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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