<h2 id="heading-what-are-algorithms">What are Algorithms ?</h2>
<ul>
<li><p>Algorithms are step-by-step process or a set of rules designed to solve a specific problem or perform a particular task.</p>
</li>
<li><p>Algorithms provides a systematic approach to problem-solving by defining a sequence of instructions that, when executed, it produce the desired output or solve the problem efficiently.</p>
<hr />
</li>
</ul>
<p>Two essential concepts in algorithms that evaluate an algorithm's performance in multiple dimensions are time complexity and space complexity.</p>
<h2 id="heading-space-complexity">Space Complexity :</h2>
<ul>
<li><p>It is refers to the amount of memory or space required by an algorithm to solve a problem.</p>
</li>
<li><p>It measures the amount of additional memory used by the algorithms.</p>
</li>
<li><p>It helps in analyzing how efficiently an algorithm utilizes memory resources.</p>
</li>
</ul>
<h2 id="heading-time-complexity">Time Complexity :</h2>
<ul>
<li><p>It is refers to the amount of time or number of operations required by an algorithm to solve a problem.</p>
</li>
<li><p>It measures the efficiency of an algorithm in terms of time it takes to execute as the input size increases.</p>
</li>
<li><p>It helps in understanding how the algorithm's execution time grows with respect to the input size.</p>
</li>
</ul>


## What are Algorithms ?

* Algorithms are step-by-step process or a set of rules designed to solve a specific problem or perform a particular task.
    
* Algorithms provides a systematic approach to problem-solving by defining a sequence of instructions that, when executed, it produce the desired output or solve the problem efficiently.
    
    ---
    

Two essential concepts in algorithms that evaluate an algorithm's performance in multiple dimensions are time complexity and space complexity.

## Space Complexity :

* It is refers to the amount of memory or space required by an algorithm to solve a problem.
    
* It measures the amount of additional memory used by the algorithms.
    
* It helps in analyzing how efficiently an algorithm utilizes memory resources.
    

## Time Complexity :

* It is refers to the amount of time or number of operations required by an algorithm to solve a problem.
    
* It measures the efficiency of an algorithm in terms of time it takes to execute as the input size increases.
    
* It helps in understanding how the algorithm's execution time grows with respect to the input size.

What are Algorithms ? Meaning of Time and Space Complexity of algorithms ?

What are Algorithms ?

Space Complexity :

Time Complexity :