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Does a number stored as an integer take up less space in the computer's memory than a floating points number?
It depends on the particular implementation's representation of integer and floating point number. The IEEE 754-2008 standard provides four basic resolutions, 16 bits (not common), 32 bit, 64 bits, and 128 bits (also not common). At the same time, integers can be 8 bits, 16 bits, 32 bits, 64 bits (in 64 bit platforms and some libraries on 32 bit platforms) and 128 bits (not common).
In general, if you want to keep resolution down to the units digit, you can store a larger number in an integer than you can in a floating point, due to overhead in the exponent, but, at the same time, due to the scalability of floating point numbers, you can store larger numbers in floating point numbers if you are willing to lose resolution on the low-order end.
What else can I help you with?
What is a floating number?
A floating point number is one that contains an integer as well as a fractional part, for example 101.3625. These are often represented by their scientific notations as well, such as 1.013625E2
What is a giga flop?
A giga-flop stands for a billion FLOATING POINT instructions per second. It signifies nothing about the number of Integer or memory load/store/jump operations. It is primarily used in the Scientific Computing field, which mostly run large-scale simulations, which are (almost) exclusively floating point calculations.
What are advantages and disadvantages of Integer programming?
The advantages of integer arithmetic over floating point arithmetic is the absence of rounding errors. Rounding errors are an intrinsic aspect of floating point arithmetic, with the result that two or more floating point values cannot be compared for equality or inequality (or with other relational operators), as the exact same original value may be presented slightly differently by two or more floating point variables. Integer arithmetic does not show this symptom, and allows for simple and reliable comparison of numbers. However, the disadvantage of integer arithmetic is the limited value range. While scaled arithmetic (also known as fixed point arithmetic) allows for integer-based computation with a finite number of decimals, the total value range of a floating point variable is much larger. For example, a signed 32-bit integer variable can take values in the range -231..+231-1 (-2147483648..+2147483647), an IEEE 754 single precision floating point variable covers a value range of +/- 3.4028234 * 1038 in the same 32 bits.
Clearly explain the functions that the mantissa and exponent have in floating point number?
Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.Think of the floating-point number as a number in scientific notation, for example, 5.3 x 106 (i.e., 5.3 millions). In this example, 5.3 is the mantissa, whereas 6 is the exponent. The situation is slightly more complicated, in that floating-point numbers used in computers are stored internally in binary. Some precision can be lost when converting between decimal and binary.
What is a zero based integer?
A zero based integer is a number that is either zero or a whole number. Zero based integers are usually used in programming computers with a binary code.
What is the largest integer and the largest floating-point number?
In real-world math, there is no "largest" integer or floating point number. This is covered by the concepts known as "infinity" and "irrationality." Depending on the processor and/or application, a number with significant digits into the thousands can be operated upon.
What is a floating number?
A floating point number is one that contains an integer as well as a fractional part, for example 101.3625. These are often represented by their scientific notations as well, such as 1.013625E2
Is 9.6 and integer?
No, 9.6 is a floating-point number. Integers are whole numbers without fractional parts.
How the number of lines in the address bus limits the amount of memory installed on a system?
The elements (individual cells) in memory need to be addressed by an integer number. The amount of memory that can be addressed depends on the largest integer number that can be represented (as patterns of '0s'-electricity 'off', and '1s'-electricity 'on') on a computer bus (a bundle of wires called lines). Thus the more wires available to hold the pattern, the larger the integer number that can be represented and the more memory that can be directly addressed.
What is a giga flop?
A giga-flop stands for a billion FLOATING POINT instructions per second. It signifies nothing about the number of Integer or memory load/store/jump operations. It is primarily used in the Scientific Computing field, which mostly run large-scale simulations, which are (almost) exclusively floating point calculations.
How can the decimal real number 175.23 be represented as a 6 digit integer in floating point notation?
175.23*10^-2
What are the key differences between floating point and integer data types?
The key difference between floating point and integer data types is how they store and represent numbers. Integer data types store whole numbers without any decimal points, while floating point data types store numbers with decimal points. Integer data types have a fixed range of values they can represent, while floating point data types can represent a wider range of values with varying levels of precision. Floating point data types are typically used for calculations that require decimal precision, while integer data types are used for whole number calculations.
How can the decimal real number 1385.58 be represented as a 6-digit integer in floating point notation?
138558 x 10-2
What is the benefit of using biased representation for the exponent portion of a floatingpoint number?
It allows you to compare two floating point values using integer hardware.
Is every whole number a integer?
yes However, integer is a representation of a whole number that does not use fractions or decimals. A floating point number may represent a whole number, but not be an integer. So 23 is a whole number, 23 is an integer, but 23.00 is a floating point number, not an integer.All integers are whole numbers
What is the short integer data type in MS Access?
NUMBER (FieldSize= INTEGER)the opposite beingNUMBER (FieldSize = LONG INTEGER)A short integer is basically a smaller limit than a long integer. When defining a short integer the database will supply a slot in memory that is big enough to fit the biggest short int possible.
What is a 17 digit number called?
A 17-digit number is typically referred to as a "seventeen-digit number." In mathematics, it would be classified as a whole number or an integer with 17 digits. In computing, a 17-digit number may be represented as a data type such as a long integer or a double-precision floating-point number.
