Arithmetic Operations
TLDR: Arithmetic operations are basic computational operations used to perform calculations such as addition, subtraction, multiplication, division, and modulus. These operations are fundamental to both programming languages and hardware systems, enabling computers to handle numerical data effectively. Since the advent of digital computing in the mid-20th century, arithmetic operations have been implemented at the CPU level, forming the basis for higher-level computations and algorithms.
https://en.wikipedia.org/wiki/Arithmetic
Arithmetic operations are categorized into two types: integer arithmetic and floating-point arithmetic. Integer arithmetic operates on whole numbers and includes operations like addition (`+`), subtraction (`-`), multiplication (`*`), division (`/`), and modulus (`%`). Floating-point arithmetic, on the other hand, supports fractional values and adheres to standards such as IEEE 754. Floating-point operations allow for precision calculations but are more complex due to issues like rounding and overflow.
https://www.gnu.org/software/libc/manual/html_node/Arithmetic-Operators.html
In programming languages like Java and Python, arithmetic operations are implemented as core features, with built-in operators and functions to handle various data types. Advanced languages also support operator overloading, enabling custom behavior for arithmetic operations in user-defined classes. For example, the `BigDecimal` class in Java provides precise arithmetic for financial calculations, while libraries like NumPy in Python optimize large-scale numerical computations. Mastering arithmetic operations is critical for developing algorithms, performing data analysis, and building computational models.
https://docs.oracle.com/javase/tutorial/java/nutsandbolts/operators.html