<prompt> Fana ka mehlala e meraro ea mochini oa Turing o sa tsitsang.nan  <response>: Instruction in English: Give three examples of a non-deterministic Turing machine. . Response in English: A non-deterministic Turing machine NDTM is a theoretical computing machine that is an extension of the deterministic Turing machine. Unlike a deterministic Turing machine, which has a single, specific next move for any given combination of state and symbol, an NDTM allows for multiple, equally valid next moves for a given combination of state and symbol. Here are three examples of problems that can be solved using a non-deterministic Turing machine: 1. String acceptance problem: Given an input string and a set of rules, an NDTM can determine whether the string belongs to a certain set of strings i.e., language defined by the rules. This can be done by generating all possible configurations concurrently and accepting the input string if at least one of the branches results in acceptance.2. Graph traversal problem: The NDTM can traverse all the possible paths in a graph concurrently and accept if it finds a path between two given nodes. This is helpful in solving problems like finding the shortest path between two nodes, the longest path, etc.3. Subset sum problem: The NDTM can be used to determine if there exists a subset of a given set of numbers such that the sum of the numbers in the subset is equal to a target value. It achieves this by generating all possible subsets of the given set concurrently and checking if the sum of any of the subsets is equal to the target value. . Response in Sesotho: Mochine oa Turing o sa tsitsang NDTM ke mochine oa khomphutha oa theoretical oo e leng katoloso ea mochini oa Turing oa deterministic. Ho fapana le mochini oa Turing o ikemiselitseng, o nang le mohato o le mong, o ikhethileng o latelang bakeng sa motsoako ofe kapa ofe oa boemo le letsoao, NDTM e lumella metsamao e latelang e mengata, e tsoanang e nepahetseng bakeng sa motsoako o fanoeng oa naha le letšoao. Mehlala e meraro ea mathata a ka rarolloang ho sebelisoa mochini oa Turing o se nang deterministic: 1. Bothata ba ho amohela khoele: Ka lebaka la khoele ea ho kenya letsoho le sehlopha sa melao, NDTM e ka tseba hore na khoele ke ea sete e itseng. ea likhoele ke hore, puo e hlalosoang ke melao. Sena se ka etsoa ka ho hlahisa litlhophiso tsohle tse ka khonehang ka nako e le ngoe le ho amohela khoele ea ho kenya letsoho haeba bonyane le leng la makala le etsa hore ho amoheloe. 2. Bothata ba ho haola kerafo: NDTM e ka haola le litsela tsohle tse ka bang teng kerafong ka nako e le ngoe ebe e amohela haeba e fumana tsela pakeng tsa li-node tse peli tse fanoeng. Sena se thusa ho rarolla mathata a kang ho fumana tsela e khutsoane lipakeng tsa li-node tse peli, tsela e telele ka ho fetesisa, joalo-joalo. hore kakaretso ea linomoro tse ka hara sehlotšoana e lekana le boleng bo reriloeng. E finyella sena ka ho hlahisa likaroloana tsohle tse ka khonehang tsa sete e fanoeng ka nako e le ngoe le ho hlahloba hore na kakaretso ea likaroloana leha e le life e lekana le boleng ba sepheo. 