<prompt> Hlalosa phapang lipakeng tsa algorithmic complexity le algorithmic performance.nan  <response>: Instruction in English: Explain the difference between algorithmic complexity and algorithmic efficiency. . Response in English: Algorithmic complexity, commonly referred to as time complexity, describes the number of computational steps or operations that an algorithm takes to complete as the input size grows. It is usually expressed using Big O notation, which provides an upper bound on the number of operations that an algorithm will perform. Algorithmic complexity is used to compare and analyze the performance of different algorithms and helps assess how well an algorithm will scale with larger inputs.On the other hand, algorithmic efficiency refers to how well an algorithm utilizes computational resources such as time, memory, and processors to solve a given problem. It takes into consideration not only the number of steps that an algorithm performs but also the amount of memory it uses, the communication overhead, and the cost of parallelization. Thus, an efficient algorithm is one that can solve a problem using the minimum amount of resources possible.In summary, algorithmic complexity focuses on the number of computational steps an algorithm takes to complete as the input size grows while algorithmic efficiency refers to how well an algorithm utilizes resources to solve a problem. Both concepts are important when analyzing and designing algorithms as they help determine the practicality and feasibility of using an algorithm to solve a problem. . Response in Sesotho: Algorithmic complexity, e atisang ho bitsoa ho rarahana ha nako, e hlalosa palo ea mehato ea computational kapa tsebetso eo algorithm e nkang ho e qeta ha boholo ba ho kenya bo ntse bo hola. Hangata e hlahisoa ho sebelisoa notation ea Big O, e fanang ka moeli o ka holimo ho palo ea tsebetso eo algorithm e tla e etsa. Ho rarahana ha algorithmic ho sebelisoa ho bapisa le ho sekaseka tsebetso ea li-algorithms tse fapaneng mme e thusa ho lekola hore na algorithm e tla hola hantle hakae ka likenyelletso tse kholoanyane. Ka lehlakoreng le leng, katleho ea algorithm e bolela kamoo algorithm e sebelisang lisebelisoa tsa computational joalo ka nako, mohopolo le li-processor ho rarolla bothata bo fanoeng. Ha e nahane feela ka palo ea mehato eo algorithm e e etsang empa hape le palo ea mohopolo eo e e sebelisang, puisano e holimo, le litšenyehelo tsa ho bapisa. Kahoo, algorithm e sebetsang hantle ke e ka rarollang bothata ka ho sebelisa bonyane ba lisebelisoa tse ka khonehang. Ka kakaretso, ho rarahana ha algorithmic ho lebisa tlhokomelo ho palo ea mehato ea computational eo algorithm e e nkang ho phethela ha boholo ba ho kenya bo ntse bo hōla ha katleho ea algorithmic e bolela kamoo algorithm e sebelisang lisebelisoa ho rarolla bothata. Likhopolo tsena ka bobeli li bohlokoa ha ho hlahlojoa le ho rala li-algorithms kaha li thusa ho tseba ho sebetsa le ho khonahala ha ho sebelisoa algorithm ho rarolla bothata. 