Asymptotic – In the context of algorithm analysis, the term “asymptotic” refers to the behavior of a function as its input approaches an extremely large or infinite value. In the analysis of algorithm complexity, asymptotic notation is used to describe how the execution time (or resource usage, such as memory) grows in relation to the size of the input data. The most common asymptotic measures are “Big O,” “Omega,” and “Theta” notations.

Applications –

• Enterprise-level applications – refers to computer applications that are designed, developed, and deployed to meet the complex and critical needs of business organizations. These applications are typically used by large enterprises or organizations and often involve complex and extensive business processes.
• Key characteristics of enterprise-level applications include:
  • Scalability: Applications must be able to handle large amounts of data and support a high volume of simultaneous users.
  • Security: Security is paramount in enterprise applications to protect sensitive data and ensure compliance with privacy and security regulations.
  • Reliability: Applications must be highly reliable and continuously available to ensure smooth operation of critical business processes.
  • Integration: Enterprise applications often need to integrate with other systems and applications within the organization, as well as with external systems of business partners.
  • Transaction Management: Applications must be able to manage complex and distributed transactions reliably and efficiently.
  • Customization and Flexibility: Applications should allow for customization to adapt to the specific needs of each business and be flexible enough to accommodate changes in business processes.
• Examples of enterprise-level applications include Enterprise Resource Planning (ERP) systems, Customer Relationship Management (CRM) systems, Content Management Systems (CMS), Supply Chain Management (SCM) systems, financial and business analytics applications, among others.

Deterministic algorithm – Is an algorithm that produces the same result or behavior given a particular set of inputs. It is predictable and consistent in its execution, meaning that for a given input, it will always produce the same final result.

Higher-Order Functions (HOF) – A higher-order function (HOF) is often defined as a function that (a) takes other functions as input parameters or (b) returns a function as a result.

Low Latency – It refers to the minimum time it takes for a signal, request, or transaction to travel from one point to another and receive a response. “Low latency” implies that there is minimal delay or lag in the transmission and reception of data. This is considered beneficial, especially in applications that require quick responses, real-time interactions, or time-critical communication. It is associated with increased responsiveness, a better user experience, and more efficient performance in applications such as online gaming, live Streaming, financial operations, real-time voice and video communications.

Statically typed – each variable is associated with a specific data type, which is determined at compile time and cannot be changed during runtime. This allows the compiler to check for type errors before the code is run, which helps to catch potential bugs early on. It also helps with code readability and maintainability, as it makes it easier for other developers to understand the data types that are being used in the code.